Skip to main content

Onchocerciasis transmission in Ghana: biting and parous rates of host-seeking sibling species of the Simulium damnosum complex



Ghana is renowned for its sibling species diversity of the Simulium damnosum complex, vectors of Onchocerca volvulus. Detailed entomological knowledge becomes a priority as onchocerciasis control policy has shifted from morbidity reduction to elimination of infection. To date, understanding of transmission dynamics of O. volvulus has been mainly based on S. damnosum sensu stricto (s.s.) data. We aim to elucidate bionomic features of vector species of importance for onchocerciasis elimination efforts.


We collected S. damnosum sensu lato from seven villages in four Ghanaian regions between 2009 and 2011, using standard vector collection, and human- and cattle-baited tents. Taxa were identified using morphological and molecular techniques. Monthly biting rates (MBR), parous rates and monthly parous biting rates (MPBR) are reported by locality, season, trapping method and hour of collection for each species.


S. damnosum s.s./S. sirbanum were collected at Asubende and Agborlekame, both savannah villages. A range of species was caught in the Volta region (forest-savannah mosaic) and Gyankobaa (forest), with S. squamosum or S. sanctipauli being the predominant species, respectively. In Bosomase (southern forest region) only S. sanctipauli was collected in the 2009 wet season, but in the 2010 dry season S. yahense was also caught. MBRs ranged from 714 bites/person/month at Agborlekame (100% S. damnosum s.s./S. sirbanum) to 8,586 bites/person/month at Pillar 83/Djodji (98.5% S. squamosum). MBRs were higher in the wet season. In contrast, parous rates were higher in the dry season (41.8% vs. 18.4%), resulting in higher MPBRs in the dry season. Daily host-seeking activity of S. damnosum s.s./S. sirbanum was bimodal, whilst S. squamosum and S. sanctipauli had unimodal afternoon peaks.


The bionomic differences between sibling species of the S. damnosum complex need to be taken into account when designing entomological monitoring protocols for interventions and parameterising mathematical models for onchocerciasis control and elimination.


Ghana has a great diversity of sibling species of the Simulium damnosum complex [1], vectors of Onchocerca volvulus, the causative agent of human onchocerciasis or river blindness [2]. Sibling species and cytoforms, of which there are approximately 60 [3],[4], differ in their geographical distribution, ecology, degree of anthropophagy and vectorial capacity [3],[5]. Historically, species identification has been based on cytotaxonomy of the differences in polytene chromosomes of blackfly larvae [6],[7], collected from breeding sites [8]. Adult populations of the important West African sibling species found in Ghana—S. damnosum sensu stricto (s.s.) Vajime and Dunbar, S. sirbanum Vajime and Dunbar, S. sanctipauli Vajime and Dunbar, S. yahense Vajime and Dunbar, S. soubrense Beffa form [9], and S. squamosum Enderlein (of which both C and E forms occur) —can be distinguished to morphospecies [5],[10], and individuals of S. yahense can be identified [11]. However, S. squamosum shares many morphological traits with other sympatric species, causing difficulties when identifying some adult blackflies [10]. Thus, there is a paucity of information on host-seeking behaviour and spatio-temporal distributions of the various taxa, complicating assessment of their vectorial role and inclusion in O. volvulus transmission dynamics models. However, almost all adult blackflies from Ghana can now be fully distinguished to species using a combination of morphological [5],[12]-[15] and molecular techniques, with S. squamosum lacking a 10-base pair indel from the non-transcribed H3-H4 histone intergenic spacer region [16].

Detailed historical knowledge exists of the geographical distribution of vectors in southern Ghana, updated by larval samples collected during this study [1]. In brief, S. damnosum s.s. and S. sirbanum are found in the savannah areas of the north-centre, S. sanctipauli and S. yahense in the southern forested regions, and S. soubrense and S. squamosum (form C east of the Volta Lake and form E west of it), across the forest and savannah mosaic. However, knowledge of spatial and temporal host-seeking patterns, and of biting and parous rates of the different taxa, remains to be fully elucidated in many African countries. Detailed entomological understanding has been recognised as a priority as the focus of onchocerciasis interventions has shifted from morbidity control to elimination of the infection where deemed possible [17]. Models of O. volvulus transmission dynamics that investigate intervention outcomes are mostly parameterised using S. damnosum s.s./S. sirbanum[18]-[26], with the exception of the model by Davies (1993) [27], based on transmission of forest onchocerciasis by S. soubrense B sensu Post, some quantitative analyses on other S. damnosum complex species including S. leonense and S. squamosum B [28],[29], and a recent modelling study of the effect of climate change on O. volvulus transmission in Ghana and Liberia, including S. soubrense[30]. This research gap will need addressing in areas where different species compositions exist in the human-biting blackfly population. Since species with varying vector competence may respond differently to reduced microfilarial load, this becomes particularly important as programmes progress towards elimination. In these instances, deployment of intervention tools not only reliant on mass administration of ivermectin may need to be considered.

In Neotropical America, knowledge of adult species distributions, biting rates and parous rates recently increased [31]-[34], motivated by the necessity of the Onchocerciasis Elimination Program for the Americas (OEPA) to understand where and when to conduct entomological monitoring to evaluate elimination efforts. Similarly detailed data on vector distribution and bionomics will be crucial for understanding the epidemiology of infection and transmission patterns in parts of Africa shifting towards elimination goals [17]. Diurnal and locality-specific variations in simuliid biting densities have been associated with variations in air temperature, relative humidity, and river levels as well as with forest versus savannah ecology [32]-[37].

We embarked on a comprehensive entomological study, during both wet and dry seasons, at a range of sites in Ghana that had been under vector control during the Onchocerciasis Control Programme in West Africa (OCP) and/or are currently under ivermectin-based control. In this paper we present data on adult blackfly species composition, vector abundance, host-seeking behaviour and physiological age by locality, season and collection method. We discuss the possible epidemiological implications of our results and the need to include ensembles of relevant vector species in population dynamics models for investigation of the transmission, control and elimination of onchocerciasis in African settings.


Ethical statement

Ethical clearance was obtained from the Imperial College Research Ethics Committee (ICREC_9_1_7) and the Institutional Review Board of the Noguchi Memorial Institute for Medical Research, University of Ghana (IRB:0001276, 006/08-09). No tissue samples were taken from human subjects; however, local villagers and elders assisted with blackfly collections. Signed informed consent was obtained from all individuals involved after detailed explanations in their local languages about the study. Participating individuals were not at an increased risk of exposure, nor were human samples obtained for diagnosis, therefore no treatments were offered. However, all participants were receiving ivermectin as part of the national programme following appropriate (annual or biannual) schedules according to the Ghana Health Service strategy [38].

Study area

Study sites were selected according to vector species, bioclimatic zone, vector control, ivermectin distribution history, and variability in village size and domestic animal populations (for a census of possible blood hosts, the results of which will be presented elsewhere), during a preliminary survey conducted between 27th April and 14th May 2009, when blackfly larvae were also collected from breeding sites for cytotaxonomic identification [1]. Subsequently, the main field work was conducted during one wet season, 23rd July–5th September 2009, and two dry seasons, 14th February–28th March 2010 and 30th January–5th March 2011. Not all sites were successfully sampled during each period due to weather conditions and variability in blackfly population abundance. Blackfly collection was conducted in seven villages within four regions of Ghana (Figure 1), namely:

Figure 1
figure 1

Maps showing the location of Ghana (a) and the seven Ghanaian study sites (b and c).

Brong-Ahafo region

Asubende (08°01'01.4"N, 00°58'53.8"W), situated on the river Pru in Guinea savannah woodland; the banks of the river are partially vegetated with trees and surrounded mainly by land cleared for agriculture. The main onchocerciasis vector is S. damnosum s.s., but S. sirbanum is also found in this area [39]. Vector control started in January 1986, but was interrupted several times during 1987–1989 because of ongoing trials of the impact of ivermectin mass treatment on transmission [39],[40]. This site has been used in a series of onchocerciasis studies [38]-[42], partly due to its high baseline microfilarial load and prevalence [39],[40], and it is the village whose data have been used to parameterise ONCHOSIM [18]. Annual ivermectin distribution commenced in 1987 and biannual distribution started in 2009.

Agborlekame (08°14'04.0"N, 2°12'23.2"W), located on the Black Volta River and with similar vegetation to Asubende; however, the site was within sight of a dam being constructed upstream in the Bui Gorge, which was completed in late 2013; hence there will be major ecological and epidemiological changes associated with this site in the future. The only species recorded at the site during this study were S. damnosum s.s./S. sirbanum. Agborlekame was also included in the OCP from Phase I, with vector control from 1975, and annual ivermectin distribution from 1988. Biannual distribution was initiated in 2009.

Volta region

Asukawkaw Ferry (07°40'55.9"N, 00°22'16.0"E), positioned on the edge of Asukawkaw village on the river Asukawkaw, was an OCP vector capture site and under experimental vector control in 1981 [43], and received routine larviciding from February 1988 until the end of the OCP. It adjoins the Asukawkaw Forest Reserve, but a few kilometres downstream of Asukawkaw the river is surrounded by savannah and agricultural land, before draining into the Volta Lake. The main vector taxon present here is S. squamosum C which occurs sympatrically with a few S. damnosum s.s. and the Beffa form of S. soubrense[44]. Before its eradication [45], the Djodji form of S. sanctipauli was very common at this site [46]. Annual ivermectin distribution commenced in 1993; the biannual ivermectin strategy has not been adopted.

Dodi Papase (07°43'22.5"N, 00°30'38.3"E), on the river Wawa, a tributary of the Asukawkaw river, is situated in a well wooded, formerly well forested, zone in the Volta region highlands. However, like many sites close to communities of substantial sizes it is subject to much deforestation. The main vector taxa here are S. squamosum C with a few S. damnosum s.s. [1]. Historically the Djodji form of S. sanctipauli was common at this site. Annual ivermectin distribution commenced in 1993; the biannual ivermectin strategy has not been adopted.

Pillar 83 (07°42'20.3"N, 00°35'21.5"E), Ghanaian village on the border with Togo, where the breeding site was known as Djodji in the OCP studies. This site, on the Wawa river (known as the Gban-Houa river in Togo), is the type locality of the Djodji form of S. sanctipauli, now extinct, which used to be very common together with S. squamosum C [47], and there have been isolated records of S. damnosum s.s., S. sirbanum and S. yahense[1]. Annual ivermectin distribution commenced in 1993; the biannual ivermectin strategy has not been adopted.

The breeding sites at Asukawkaw Ferry, Dodi Papase and Pillar 83 were first treated with larviciding insecticides during OCP experimental campaigns (reinvasion studies) in 1981 (see Figure two of Cheke & Garms [43]), before becoming part of the South-eastern extension zone which reached these river basins when it became fully operational in February 1988.

Figure 2
figure 2

Methods used to collect host-seeking female blackflies. Methods included (a) a cow, protected by a mosquito net, inside a tent (Cow-baited tent); (b) the standard OCP vector collection method; (c) electric nets near a human protected by a mosquito net, and (d) bi-conical traps baited with human odour.

Western region

Bosomase (05°10'44.7"N, 01°36'23.1"W) is a forested site on the river Pra where the river is over 30 metres wide, making it a typical habitat for S. sanctipauli. However, since this site was not an OCP vector prospection/capture point, no records of cytotaxonomic blackfly identifications were available to the authors prior to this study. Bosomase was not part of the OCP but was incorporated into the national programme in 2003, when it began receiving annual community ivermectin treatment.

Ashanti region

Gyankobaa (06°20'12.4"N, 01°16'11.3"W), located on the river Anum in forest; S. sanctipauli and S. damnosum s.s. have been reported here commonly with several additional records of S. squamosum E, S. yahense and S. sirbanum[1]. Gyankobaa was not part of the OCP and therefore was not subjected to vector control but was incorporated into the National Onchocerciasis Control Programme in 2006, receiving biannual ivermectin distribution from 2010.

Blackfly sample collection

Host-seeking blackflies

Human- and cattle-baited tents

Two hexagonal navy blue cloth (gazebo-type) tents, of dimensions 4 m × 4 m × 2.6 m high, with white mosquito mesh walls were positioned at similar distances from the river (one baited with a person (males aged 18 to 45 years) and the other with a bovine calf (Figure 2a)), separated by at least 20 metres. A mosquito net protected the human or calf from blackfly bites yet permitted collection of host-seeking flies attracted to the host on the tent walls and ceiling. Each tent and mosquito net was specifically allocated to either human or cattle, to prevent cross contamination of olfactory attractants, and was washed in water without detergent after each catching session. The human and cow attractants were assigned at random, and positions were reversed after the first two of four collection days. Two sides of the tents were open to allow simuliids to fly in. As blackflies fly towards light, sides in the sunshine were kept shut to maximise trapping of flies after being attracted to, but unsuccessfully biting on, the protected host. Traps were set from 7 am to 6 pm daily for four days at each site and sampling period, and after the first 50 minutes of each hour all entrances were closed and flies collected. The calf was fed and watered ad libitum and the human swapped at lunchtime. Human attractants were swapped such that they did not work during the same time slot on consecutive days. Blackflies inside the tents were collected with aspirators at hourly intervals, and ambient temperature and relative humidity recorded. Any notable strong winds or precipitation were recorded [36]. Flies were stored alive in plastic tubes in a cool box during the day and transferred to a refrigerator in the evening for subsequent identification and dissection the following day. (The motivation for collecting flies attracted to cattle stemmed from the objective of the overall study, aiming to understand patterns of blood host choice by onchocerciasis vectors and their impact on transmission dynamics. Such patterns will be reported elsewhere).

Vector collectors

Vector collectors were not used in the three Volta Region villages of Asukawkaw Ferry, Dodi Papase and Pillar 83, at the start of the study in the wet season of 2009 as this was not part of the original protocol, which intended to replace vector collectors by the host-baited tents. However, collection protocols were revised as it was soon realised that human-baited tent results did not accurately reflect catching rates previously recorded by OCP vector collectors. Therefore, standard OCP vector collector techniques from 7 am to 6 pm [48], for up to five consecutive days, were adopted for all subsequent sampling (Figure 2b) (Table 1) to estimate the daily landing rate (a proxy for vector biting rate). When possible, the vector collectors were positioned at historical OCP sites enabling direct comparisons with OCP vector capture databases. Collectors wore shirts and trousers rolled up to the knee and constantly watched their lower legs for landing blackflies which were caught individually, before procuring a blood meal, and trapped in polypropylene tubes (10 cm × 1.5 cm). Flies were stored at hourly intervals in a cool box as above for subsequent identification and dissection.

Table 1 Summary of blackfly collection per region, village, season and trapping technique

Other host-seeking capture methods

Electric nets

Preliminary tests with electric nets, successfully used for tsetse flies Glossina spp. [49]-[51] and mosquito [52] collections, were trialled as potential replacements of vector collector methods. These traps were used for blackfly collection on sporadic dry days during the rainy season in 2009 and followed up with a full feasibility investigation during a two-week period in August 2010 in the dry season. Nets, of 1 m × 0.5 m, were placed along the river banks at Agborlekame, Bosomase and Gyankobaa either alone, in the presence of a human attractor (protected by a mosquito net) (Figure 2c) or with a human-odour-baited black cotton sheet placed within the net.

Biconical traps

Challier-Lavéissière biconical (tsetse) traps (Figure 2d), modified with mesh in the catching chambers sufficiently small to prevent blackflies from escaping, were tested over a two-week period during August 2010 at Agborlekame, Bosomase and Gyankobaa (as they had shown promise with S. damnosum sensu lato (s.l.) in earlier trials) [53],[54]. They were set on their own (clean or baited with human odour from a man sleeping on the net the night before) and in the presence of a human attractor (protected by a net) sitting nearby during the day. Flies were collected in the evening from both traps and identified to species.

Blackfly species identification and parous rates

Hourly-caught flies from human-baited tents, cattle-baited tents and vector collectors were dissected the following day. If overall numbers were too great (>300 per day) sub-samples of five flies per hourly slot (per catching technique per day) were dissected. Each fly was individually anaesthetized using chloroform or ethyl acetate, placed on a microscope slide with a drop of saline solution and morphologically identified by scoring the colour of wing tufts [14], post-cranial hairs [5],[15], and ninth tergite hairs [13], and by measuring the thorax/antenna ratio [12],[13]. The colour of the fore-coxae used by some authors [10],[55] to separate S. damnosum s.s. from S. sirbanum is unreliable since many individuals of both species and of S. squamosum with either dark or pale fore-coxae have been noted, especially in the eastern parts of the former OCP (R. Garms & RAC, unpublished data), and therefore this character was not used for species identification, although it helped to separate members of the S. sanctipauli sub-complex and S. yahense from the savannah species. After morphological identification the flies were dissected for parity status by the presence or absence of ovarian relics [56] by RAC. Nulliparous females were pooled in absolute ethanol for each host attractant at each location for future analysis. Parous females’ abdomens were separated from the head and thorax, which were preserved individually in correlating wells of two 96-well PCR plates (one for heads plus thoraces, one for abdomens) in absolute ethanol. The abdomens were used for molecular identification of S. squamosum[16]. Morphological and molecular results were combined for final species identification, with molecular results taken as definitive. When any conflicting results arose, blackfly larval identifications [1] and molecular results from all flies collected, with all collection methods, were used to inform the identifications by providing locality-specific cut offs for the thorax/antennae ratios, which were adjusted on a village and season basis, for final species identification.

Simulium damnosum s.s. and S. sirbanum are often sympatric and morphologically similar; therefore, due to uncertainties in their definitive identification, with previous molecular techniques not proving to be robust, results for these species were combined. Any remaining undissected flies were morphologically identified in the laboratory in the UK and head plus thoraces and abdomens separated and stored as described above.

Data analysis

This paper focuses on the numbers of each simuliid species, expressed as the monthly biting rates (MBRs), caught in each locality and season, the percentages of parous flies, and the monthly parous biting rates (MBPR) summarising the density of host-seeking flies that constitute the epidemiologically important section of the biting population. When fly numbers were greater than approximately 300 flies caught per day, priority for parous rate dissections was given to blackflies caught in human- and cow-baited tents over vector collections, minimising the risk that blood meals taken during collection could bias molecular identification of the previous blood hosts. Statistical analyses were carried out using SPSS version 21 (SPSS, Inc., Chicago, IL, USA) or R [57].

Biting and parous rates

Daily biting rates (DBRs) were calculated as the total number of flies caught over 11 hours, from 7 am until 6 pm, as per OCP protocols [48]. When the full 11 hours were not sampled, we calculated the arithmetic mean hourly biting rate from all days from the available data and multiplied this by 11 to estimate the DBR. Monthly biting rates (MBRs) were calculated in strata defined by sibling species (but also for overall S. damnosum s.l.), location, season and trapping method. These were calculated by multiplying the stratum-specific (defined by species, location and season) total number of each species caught in a month by a constant defined by the number of sampling hours completed and the number of (11-hour) days in the month in question. Data were not collected throughout the whole year so we did not calculate annual biting rates. Paired t-tests were used to determine whether differences in mean hourly catching rate for each hour of each day within the same stratum, estimated from data collected from vector collectors and human-baited tents or cattle-baited tents, were statistically significant. Freidman tests were performed to investigate the relative catching success across all three catching techniques at each village. A paired t-test was used to determine whether differences in the hourly numbers of “non-damnosum” simuliids (i.e. not members of the S. damnosum complex), caught by man- and cow-baited tents were statistically significant. Differences in the numbers of blackflies of different species caught in rainy and dry seasons within each locality were assessed for statistical significance by chi-squared tests. Host choice was compared using chi-squared tests on the numbers of blackflies caught in the man- or cow-baited tents at each locality and season for each taxon. The statistical significance of differences in biting rates between seasons was determined using (non-paired) t-tests.

The parous rate was defined as the percentage of parous females in a sample of dissected female flies in strata defined by taxon, location, season and trapping method over all sampling hours and days. Exact 95% binomial confidence intervals (CI) were determined using the method of Clopper-Pearson [58]. Differences in parous rates between dry and wet seasons were assessed for statistical significance using (non-paired) t-tests, invoking the asymptotic normal approximation to the binomial distribution.

The monthly parous biting rate (MPBR) was calculated by multiplying the parous rate by the MBR for each species, location, season and trapping method. Uncertainty in MPBRs was driven by uncertainty in the estimated parous rate as opposed to the MBR which was calculated from the total number of flies caught in a month multiplied in a manner reflecting the hours of sampling and the days in the month, as described above.

Of the 9,916 flies collected, 996 were not fully identified to species even after using both morphological and molecular techniques (Additional file 1). It was assumed that non-identified flies represented a random subsection of the total caught. Therefore, when necessary, MBRs and MPBRs for each species were estimated using the proportions of the fully identified flies extrapolated up to the total numbers.

Diurnal distribution of biting and parous rates

The diurnal distribution of blackfly biting was assessed using the raw data on the number of blackflies caught by vector collectors in each hour-long sampling interval, viz. hourly biting rates (HBRs). Arithmetic mean HBRs were estimated in strata defined by sibling species and season, but pooled by location (village). Combining data from different locations risked introducing, or exacerbating existing, extra-Poisson variation (overdispersion) in HBRs. Hence, it was assumed that variation in HBRs was inflated relative to the Poisson variance (i.e. the mean) by a multiplicative constant, or dispersion parameter. This ultimately led to more realistic, albeit conservative, estimates of uncertainty (standard errors, SEs) and confidence intervals. Standard errors were calculated from the estimated dispersion parameter, the arithmetic mean and the stratum-specific sample size. In turn, these SEs were used to construct approximate (asymmetric) confidence intervals around the mean HBR, initially on a logarithmic scale, and then after back-transformation, on the original scale of the counts (HBRs). This approach is used frequently for constructing approximate confidence intervals for overdispersed Poisson data particularly in conjunction with generalized linear model (GLM) analyses, or more specifically quasi-Poisson models [59].

A similar approach was taken to assess the diurnal distribution of blackfly parity. However, in contrast to the analysis of diurnal biting rates which used vector collector data only, and because not all of the blackflies caught were dissected for parity, data from the vector-collectors, man- and cow-baited traps were first pooled, before being further combined over location (village). Like the mean HBRs, this process of pooling data over variables potentially introduces or exacerbates existing extra-binomial variation (overdispersion). Hence, and by analogy with estimation of SEs for the mean HBRs using a quasi-binomial approach, the variance of the number of parous flies identified per hour was assumed to be inflated relative to the binomial variance by a multiplicative dispersion constant [59]. Confidence intervals were then constructed using this inflated SE, first on a logarithmic (logit) scale, and then after back-transformation, on the original scale of the proportion.


A total of 9,916 host-seeking female blackflies was caught during the three sampling trips, of which 6,142 (62%) were obtained by vector collectors, 2,207 (22%) were trapped in the man-baited tents and 1,567 (16%) were caught in the cow-baited tents (Table 1). Overall, the mean hourly catches of S. damnosum s.l. from vector collectors (12.65 flies/person/hour; 95% CI: 11.44–13.85) were significantly higher than those from both the man-baited tents (3.41; 95% CI: 2.71–3.69), t = 14.97, d.f. = 456, p < 0.001) and the cow-baited tents (2.41; 95% CI: 2.00–2.82, t = 15.694, d.f. = 434, p < 0.001). The number of flies caught in the human-baited tents was significantly higher than that in the cow-baited tents (t = 3.727, d.f. = 596, p < 0.001). There were, however, no statistically significant differences between catching success by all three methods at Gyankobaa in the wet season (F = 0.970, d.f. = 2, p = 0.388), or Bosomase in the dry season (F = 0.559, d.f. = 2, p = 0.577). Only a single blackfly was caught by the electric nets, which was a male of the Beffa form of S. soubrense and therefore not host-seeking; no blackflies were caught in the biconical traps. However, tsetse flies and mosquitoes were caught in them, indicating that the traps were functioning as expected, but not attracting and/or catching blackflies. The final successful catching techniques used in each location for each sampling trip are summarised in Table 1.

Blackfly identification

Of the 9,916 female blackflies collected, 212 (2%) were not S. damnosum s.l. These were only caught in the cow- or man-baited tents, and were subsequently identified as being S. (Phoretomyia) berneri, S. (Lewisellum) ovazzae, S. (Phoretomyia) sp., S. (Meilloniellum) adersi or S. (Pomeroyellum) sp. These flies were caught at Asubende, Asukawkaw Ferry, Dodi Papase and Pillar 83 in the dry seasons and at Gyankobaa in the wet season (Additional file 1). More non-damnosum flies were collected in the cow-baited tents (n = 124) than in the human-baited tents (n = 88) although this difference was not statistically significant (t = 1.097, d.f. = 259, p = 0.274). No non-damnosum flies were attracted to vector collectors.

Of the 9,704 host-seeking S. damnosum s.l. flies collected, 8,708 (89.7%) were successfully assigned to a specific taxon (Additional file 1). The verdict of non-definitive identification in the remaining flies (n = 996) was due to a range of reasons: 1) flies too dry for morphological identification (n = 300); 2) non-successful amplification of the H3H4 gene (n = 13); 3) S. squamosum- negative molecular result (143 bp), but with more than one other potential species remaining from morphological identifications (n = 17); 4) molecular hybrid results (both the 143 bp and the 133 bp genes observed) (n = 61); 5) unexpected unusual molecular hybrid results (133 bp and 123 bp genes observed) (n = 4); or 6) morphological and/or molecular identifications not performed (n = 601).

Amplified DNA from subsections of all non-S. squamosum species (with the indel, 143 bp), the S. squamosum (without the indel, 133 bp) and the hybrids (133 bp and 143 bp), along with all of the unusual hybrids (123 bp and 133 bp) were sequenced. These results, combined with further sequences from ovipositing flies collected as part of the larger study will be reported elsewhere, in an attempt to elucidate how the hybrid molecular results may reflect true differences in sibling species. Any female blackflies without definitive identifications to date have been excluded from the analyses.

Simulium damnosum s.l. species distribution by village, season and trapping technique

Host-seeking blackfly species distributions differed between villages, across seasons and with trapping technique. The total numbers of each sibling species collected using each technique at every location and classified according to seasons are shown in `Additional file 1’.

At Asubende and Agborlekame only the savannah species S. damnosum s.s./S. sirbanum were collected. At Bosomase only forest flies were collected, with just S. sanctipauli found in the wet season in 2009, but with significantly different numbers of both S. yahense and S. sanctipauli found in the dry season in 2010 (χ2 = 660.8, d.f. = 1, p < 0.001). In the Volta region, at all three villages, S. squamosum was the dominant species, with fewer S. damnosum s.s./S. sirbanum and S. soubrense. In total, three S. yahense were also caught in the Volta region, one at Dodi Papase and two at Pillar 83, all in 2011. In Gyankobaa, a range of forest and savannah species was collected, with S. sanctipauli being the dominant species, and no recorded S. soubrense. In the Volta region, all S. squamosum were C type, whilst in Gyankobaa all S. squamosum were E type [1]. The Djodji form of S. sanctipauli was not recorded at any of the sampling locations.

Four villages were successfully sampled in both seasons; Bosomase described above and Asukawkaw Ferry, where significantly more S. soubrense were caught in the wet season than in the dry seasons (χ2 = 421.5, d.f. = 2, p < 0.001), and Dodi Papase (χ2 = 2.9, d.f. =2, p = 0.235) and Pillar 83 (χ2 = 0.7, d.f. = 2, p = 0.403), where no statistically significant differences in sibling species distributions between wet and dry seasons were observed.

Biting rates of sibling species of the S. damnosum complex

The HBR of S. damnosum s.l. on vector collectors ranged from zero, at a range of locations and times, to 122 bites/person/hour at Pillar 83 in the dry season of 2010 between 14:00 and 15:00 hours. The second highest biting rate of 81 bites/person/hour was also recorded at Pillar 83 at a similar time of 15:00 to 16:00 hours but in the following dry season in 2011. On both occasions the majority of blackflies were S. squamosum.

The highest hourly biting rates observed at each of the other villages were 29 bites/person/hour (dry season 2011, 17:00–18:00) in Asubende; 13 bites/person/hour (dry season 2010, 16:00–17:00) in Agborlekame; 64 bites/person/hour (dry season 2010, 14:00–15:00) in Asukawkaw Ferry; 41 bites/person/hour (at both dry seasons of 2010 and 2011, 14:00–15:00) in Dodi Papase; 42 bites/person/hour (wet season 2009, 14:00–15:00) in Bosomase, and 27 bites/person/hour (wet season 2009, 17:00–18:00) in Gyankobaa.

The highest hourly biting rates for each individual taxon ranged from 7 bites/person/hour for S. yahense at Bosomase (dry season 2010, 16:00–17:00); 8 bites/person/hour for S. soubrense at Asukawkaw Ferry (dry season 2010, 11:00–12:00); 29 bites/person/hour for S. damnosum s.s./S. sirbanum at Asubende (dry season 2011, 17:00–18:00); 42 bites/person/hour for S. sanctipauli at Bosomase (wet season 2009, 14:00–15:00), to 120 bites/person/hour for S. squamosum at Pillar 83 (dry season 2010, 14:00–15:00).

The lowest DBRs were recorded at Gyankobaa (dry season, 2010), where no flies were caught over 11 hours (0 bites/person/day), and Bosomase (dry season, 2011), where only 2 flies were collected over 11 hours (2 bites/person/day). No further sampling was performed at Bosomase during that collection trip/season due to this lack of blackflies, possibly attributed to pollution of the breeding sites by gold-mining activities. In contrast, the highest daily biting rate was recorded at Pillar 83 (dry season, 2010), with 353 bites/person/day. The highest mean DBRs were also at Pillar 83 (dry season 2011), with an average of 307 bites/person/day. The lowest mean daily biting rate was at Agborlekame (dry season, 2010), with 26 bites/person/day. Monthly biting rates (MBRs) are tabulated for all villages and sampling occasions by trapping method and blackfly species in Table 2.

Table 2 Monthly biting rates (MBRs) by locality, season, trapping technique and sibling species of the S. damnosum complex

Monthly biting rates (MBRs) ranged from 714 bites/person/month at Agborlekame in February (all S. damnosum s.s./S sirbanum) up to 8,586 bites/person/month at Pillar 83 also in February (98.5% S. squamosum). Biting rates differed among villages, between seasons and by blackfly species and trapping method (Table 2). The highest monthly catching rates in the man- and cow-baited tents were 4,910 and 4,366 flies/trap/month respectively, both in Gyankobaa (wet season, 2009). Although the baited-tent catches do not correlate closely enough with the traditional OCP vector collector values to be interpreted as biting rates (Pearson correlation coefficients ranged from −0.06 to 0.5), they do offer information on the relative attraction of simuliid species towards humans or cattle. All species, except S. damnosum s.s./S. sirbanum, exhibited a strong preference for human over cattle bait, demonstrated by both the higher overall, as well as species-specific, numbers caught in the human-baited tents (Table 2). By contrast, S. damnosum s.s./S. sirbanum showed a preference for cattle over humans (χ2 = 6.91, d.f. = 1, p = 0.009). At Asukawkaw Ferry in the dry season, S. soubrense flies also had a slight preference for cattle over humans (χ2 = 6.42, d.f. = 1, p = 0.011), but this was not confirmed elsewhere for this species (χ2 = 1.04, d.f. = 1, p = 0.307).

Diurnal patterns

Hourly biting patterns varied among sibling species (Figures 3a to e). S. damnosum s.s./S. sirbanum showed a distinct bimodal pattern, peaking in the morning between 07:00 to 09:00, and in the afternoon between 15:00 and 18:00. By contrast, S. sanctipauli and S. squamosum had unimodal distributions, with bites peaking in the afternoon. Vector-collector data are available for S. soubrense and S. yahense. S. soubrense from the dry season only. Host-seeking activity peaked between 11:00 and 15:00, and S. yahense showed a weak bimodal pattern, although limited fly densities hampered a more conclusive characterisation of diurnal activity for these species.

Figure 3
figure 3

Diurnal distribution of vector collector caught host-seeking S. damnosum s.l. Daily variation of temperature (black) and humidity (grey) for dry (solid lines) and wet season (dotted lines) with temperature on the left axis (°C) and humidity on the right axis (%) are shown above the diurnal host-seeking activity for each taxon: a) S. damnosum s.s./S. sirbanum; b) S. soubrense Beffa form; c) S. squamosum; d) S. yahense and e) S. sanctipauli. The x-axis shows the time (hourly), and the y-axis, the mean number of blackflies caught per hour. N.B. The scales of the y-axes vary.

Parous rates

Parity was consistently higher in the dry season than in the wet season for all sampling occasions (Figure 4, z = 11.6, p < 0.001). Overall, the mean parous rate in the dry season was 41.8% (95% CI 39.2–44.6%) compared to 18.4% (95% CI 13.7–24.2%) in the wet season. This pattern of S. damnosum s.l. parity was consistent in all four, and significant in three of the four, locations where both seasons were successfully sampled, with flies approximately twice as likely to be parous in the dry season (Table 3, Figure 4). The large confidence intervals at Agborlekame and Pillar 83 (in the wet season) are due to low blackfly numbers with only 53 and 10 blackflies collected, respectively.

Figure 4
figure 4

Effect of season on parous rates of S. damnosum s.l. 95% exact confidence intervals are shown. **P < 0.01.

Table 3 Parous rates of sibling species of the S. damnosum complex by locality, season and trapping technique

Diurnal distributions of parous rates

The number of flies of each taxon dissected for parity per season varied: S. damnosum s.s./S. sirbanum; dry season n = 603, wet season n = 15: S. squamosum dry season n = 1506, wet season n = 155: S. sanctipauli dry season n = 111, wet season n = 1563: S. soubrense dry season n = 106, wet season n = 260: S. yahense dry season n = 191, wet season n = 18. The estimated parity (Figure 5a to e) of both S. squamosum in the dry season (Figure 5a) and S. sanctipauli in the wet season (Figure 5e) was higher in the morning than in the evening and, moreover, the accompanying confidence intervals do not overlap. This indicates a statistically significant difference in parity between the morning and the evening for these two species. Although limited sample sizes precluded a more conclusive characterisation of diurnal parity for other taxa, the highest parous rates occurred in the morning for four of the five species, particularly between 08:00 and 09:00 for S. sanctipauli, between 09:00 and 10:00 for S. squamosum, between 11:00 and 12:00 for S. damnosum s.s./S. sirbanum, and between 10:00 and 11:00 for S. yahense. There was no clear pattern for S. soubrense Beffa form.

Figure 5
figure 5

Diurnal distribution of the proportion of parous flies for each sibling species. The x-axis shows the time (hourly), and the y-axis, the parous rate per hour (%). Parous rates calculated from all trapping methods combined. The number of flies of each species dissected per season varied and are presented for each species for the season with the larger sample sizes and greater confidence in the data: a) S. damnosum s.s./S. sirbanum; dry season n = 603, b) S. soubrense Beffa form dry season n = 260, c) S. squamosum dry season n = 1,506; d) S. yahense dry season n = 191; and e) S. sanctipauli wet season n = 1,563. Graphs for all species for both seasons are shown in `Additional file 2’.

Monthly parous biting rates of sibling species of the S. damnosum complex

Some MPBRs were not calculated for vector collector-caught flies, as when fly catches were greater than approximately 300 flies per day for the tent-caught flies, the vector-collector caught flies were not dissected in the field and therefore parity was not assessed. Where MPBR results were available, they varied among species, location and between seasons (Table 4). The overall MPBR in the dry season was 1,823, statistically significantly higher than that in the wet season, 1,028 (t = 6.679, d.f. = 212, p < 0.001). The highest MBPR was observed at Pillar 83 (dry season, 2011), with an average of 4,419 parous bites/person/month. The lowest MBPR was recorded at Agborlekame (dry season, 2010), with an average of 252 parous bites/person/month. In general, S. squamosum type C contributed the most to the MBPR, through high levels in all three Volta region villages. S. sanctipauli contributed the most to MBPR in the southern forested villages of Bosomase and Gyankobaa. Vector collector-derived MBPR were statistically significantly higher in the wet season in Bosomase than in the dry season both for all blackflies (t = 3.477, d.f. = 61, p = 0.001) and for S. sanctipauli alone (t = 4.922, d.f. = 49.8, p < 0.001) due to the high biting rates in the wet season. The highest MPBRs for the S. damnosum s.s./S. sirbanum savannah species were recorded at Asubende, with 806 parous bites/person/month in the dry season. No data are available for the wet season from the Brong-Ahafo region, but S. damnosum s.s./S. sirbanum also contributed the most to the MPBR at Asukawkaw Ferry (dry season, 2011), with 1,422 parous bites/person/month.

Table 4 Monthly parous biting rates (MPBRs) by village, season, trapping technique and sibling species of the S. damnosum complex


We demonstrated the existence of significant spatial and temporal variation in species distribution, host-seeking behaviour, daily biting activity, and parous rates. As selected African countries move towards onchocerciasis elimination goals [60], criteria for the certification of interrupted transmission, as for the Americas, including guidelines for entomological evaluation of the impact of community ivermectin distribution and other interventions, are needed [61],[62]. These guidelines specifically include determination of biting and infection rates by timed systematic vector collections in localities reflecting human exposure to, and vector abundance during, peak times of parasite transmission (both by season and time of day) to maximise the detection of infected/infective flies [61],[63]. We investigated the biting and parous rates of six simuliid onchocerciasis vectors in Ghana, one of the countries in which vector control operations, under the OCP umbrella, started in 1975 and mass ivermectin distribution, trialled in 1987, was subsequently rolled out.

We confirmed the expectation (from cytotaxonomic larval identification at corresponding breeding sites) [1], that only S. damnosum s.s./S. sirbanum are found biting in the savannah villages of Asubende and Agborlekame, whilst a range of taxa was caught (as host-seeking adult females) in the Volta region villages, with S. squamosum being the predominant anthropophagic species. In Gyankobaa, a village in the forested Ashanti Region, a mixed composition of species was documented. This highlights the identification complexities which can only be resolved by combined morphological and molecular criteria, as well as the transmission complexities that may arise from exposure to ensembles of vector species with different vector competences and vectorial capacities. Although the majority of host-seeking blackflies collected at Gyankobaa were S. sanctipauli (a forest species), nearly 10% were S. damnosum s.s./S. sirbanum (savannah species). The remainder were S. squamosum and S. yahense (the latter predominantly a forest species). Only S. soubrense s.s. was lacking from this ensemble during our study, but this species was represented by the Beffa form at three sites in the Volta Region. The moderate presence of savannah flies in this forested region may reflect a potential extension of their range, possibly due to deforestation in southern Ghana [64], although they do not appear to have statistically significantly increased in frequency in this area according to analyses presented in Post et al.[1]. At Bosomase, in the southern forest region, no adult host-seeking savannah flies were recorded, with only S. sanctipauli (in the 2009 wet season) and both S. sanctipauli and S. yahense (the latter at moderate densities) caught in the 2010 dry season. Due to the absence of flies at Bosomase in the 2011 dry season and only one wet season trip, we cannot conclude whether the presence of S. yahense in 2010, but not 2009, is due to yearly variation, differences between seasons, or a recent invasion of S. yahense into an area previously only occupied by S. sanctipauli. However, the latter is supported by ovipositing flies collected by IT in the 2006 dry season (data not shown), which consisted of only S. sanctipauli with over 3,350 flies identified. In addition, no S. yahense larvae or pupae were collected at Bosomase at any historical sampling times [1], indicating that these flies may be feeding near the River Pra but not breeding in the river. Typically, S. yahense prefers smaller, cooler rivers [65],[66] and probably breeds in nearby tributaries. Analyses of ovipositing flies collected as part of the larger entomological study, strongly support this suggestion, with no S. yahense observed, but with 415 S. sanctipauli collected, 354 of them at the same time as the host-seeking S. yahense in 2010. Finally, the Djodji form of S. sanctipauli was not recorded in any of our locations, including the 2,845 flies collected at Pillar 83 (Djodji), confirming the report of its elimination [45].

Crosskey [67] indicated that S. damnosum s.l. biting levels were more stable in forest than in savannah areas, and this assertion is supported here, with bimodal peaks (in the morning and early evening) of host-seeking S. damnosum s.s./S. sirbanum in the savannah localities of Asubende and Agborlekame, that were much less pronounced for these species in all three Volta Region villages or in Gyankobaa. The remainder of the sibling species showed less distinct diurnal patterns in biting and parity, with an overall decreasing trend throughout the day, similar to trends documented for forest-dwelling blackflies in Amazonian onchocerciasis foci [33]. These observations are likely to be explained by the higher temperatures and lower humidities around midday that prevail in dry savannah areas. Daily temperature and humidity fluctuations are less pronounced in forested areas, potentially explaining the more uniform biting patterns of the forest species.

In contrast to our findings, Adeleke and co-workers observed bimodal parous biting peaks in one rainforest area, but early evening unimodal peaks, in a second rainforest area and a savannah area of Nigeria [68]. This study, however, did not identify species and the reported bimodal patterns could either be interpreted as true bimodality specific to the study areas, or different taxa biting at different diurnal times. In addition, only parous biting rates were presented, not separating biting from parous rates and their relative contribution to the recorded peaks. Other studies on diurnal patterns of parous rates in the savannah in Africa have also reported morning peaks [33] while others have reported midday peaks [36],[56]. Grillet et al.[33] discussed that hourly patterns of parity in host-seeking simuliid populations may relate to breeding site proximity, as blackfly peak oviposition activity takes place at dusk or dawn [67]. Morning parous peaks indicate greater breeding site proximity, with peaks later in the day suggesting that host-seeking flies have travelled longer distances. Le Berre (1966) has shown that host-seeking dispersal differs between parous and nulliparous, with parous rates declining with distance from oviposition sites [36].

Our investigations into the biting and parity patterns of the sibling species of the S. damnosum complex permit, together with O. volvulus infection rates reported elsewhere, a more precise identification of the seasons and diurnal times during which O. volvulus transmission is potentially highest [69]. This provides useful information for the design of entomological evaluation protocols for the monitoring of onchocerciasis control and elimination programmes [31],[63],[70],[71]. Our findings indicate that collecting during mornings in the dry season would increase the chances of sampling parous flies and, therefore, the likelihood of O. volvulus infected flies. Higher parous rates in the dry season were consistently shown in S. damnosum s.l. studies conducted by Le Berre [36] and Le Berre et al. [72] in Burkina Faso; by Philippon [73] in Burkina Faso, Côte d’Ivoire, Democratic Republic of Congo and Mali, and by Adeleke et al. [68] and Adewale et al. [74] in Nigeria, in agreement with the results presented here. In addition, comparison of our parous rates in February for Asubende (42.5%) and Agborlekame (35.0%) to parous rates observed by OCP prior to vector control indicates very similar levels, at 40.7% and 38.7% respectively. In Djodji, historical studies which separated the taxa, showed parous rates of 56.9% in February and 32.2% in March for S. squamosum[47], in comparison to our findings of 48.3% and 46.4% for February and March, respectively. Differences may either be due to natural annual variation, their lower sample sizes and/or changes over time with species composition and/or vector control. Parous rates of ~40% recorded from a Nigerian savannah focus [68] are also similar to those observed in these savannah villages of Asubende and Agborlekame. However, in the forest villages we investigated, host-seeking flies had lower parous rates than those reported for Nigerian forest regions, potentially due to different species compositions.

The MPBR is one of the most important epidemiological measures in entomological monitoring, encompassing both biting density and parity status. Although parous rates were twice as high in the dry season than the wet season, the resulting MPBRs reflected the higher MBRs observed during the wet season (in contrast with the results of [74]). In general, transmission is expected to be greater in the wet season, with some sites drying out in the dry season. However, at perennial sites transmission may peak in the dry season [75]. Our net values indicated higher mean MPBRs in the dry season due to the high parous rates, whilst other studies show similar MPBR results but for different reasons. For example, higher dry season MPBRs have been shown to be due to exposed breeding sites which were flooded in the wet season [36],[76]. These complexities highlight that, for entomological monitoring and evaluation, simply choosing periods of high vector density/biting rates will not necessarily maximise the potential for assessing changes in O. volvulus transmission. This has important programmatic implications. Firstly, not collecting during the periods of higher vector abundance will require more intensive sampling effort to obtain enough flies to power statistically meaningful assessments of changes in infection rates [31]. Secondly, not assessing parity status in the field (usually not performed in programmatic contexts due to the specialised and labour-intensive requirements) may lead to erroneously low infection rates (as nullipars will harbour no infection). Statistically sound considerations need to be taken into account when designing entomological evaluation procedures and using pool-screening methods to be able to handle the demands of very large sample sizes [43],[77]. Also, a thorough understanding of seasonal patterns of transmission will become increasingly important as programmes based on community-directed treatment with ivermectin (CDTI) endeavour towards elimination. The effectiveness (and cost effectiveness) of treatment has been shown to be sensitive to the timing of peak transmission in relation to the timing of mass ivermectin distribution [Turner HC, Walker M, Attah SK, Opoku NO, Awadzi K, Kuesel AC, Basáñez MG: The potential impact of moxidectin on onchocerciasis elimination in Africa: an economic evaluation based on the Phase II clinical trial data. Submitted].

In comparison to historical OCP MBR data, our February value for Asubende of 1,897bites/person/month is similar to the February mean of the 8-year sampling (1978–1985) conducted prior to vector control (2,012 ± 594 bites/person/month), but higher than the February mean in the final 8 years of larviciding (1999–2002) (580 ± 154 bites/person/month). This indicates that after cessation of vector control, blackfly populations have returned to their original levels and ecological conditions propitious to transmission may favour the persistence of infection when O. volvulus populations remain despite prolonged ivermectin treatment. Indeed, our vector infection results (presented elsewhere) suggest that O. volvulus transmission may continue in/around Asubende, despite intensified (biannual) ivermectin distribution, and a related entomological study has documented active transmission in Agborlekame [Veriegh FBD, Basáñez MG, Armoo S, Cheke RA, Walker M, Boakye DA, Wilson MD, Taylor M, Osei-Ateweneboana MY: Continuing transmission of Onchocerca volvulus in and near zones with poor responses to ivermectin: implications for onchocerciasis elimination in Ghana. In preparation]. OCP data for Agborlekame, collected from 1975 to 1988—throughout which time vector control was occurring—indicates, not surprisingly, a lower February mean (311 ± 212 bites/person/month) than our February biting rate (775 bites/person/month) post vector control.

In the Volta region, some historical OCP MBR data exist, prior to the initiation of larvicidal operations (1979 to 1986). For Dodi Papase, the MBRs over these years were 4,051 ± 709 in February and 2,832 ± 465 in March. These values compare well with our MBRs of 4,024 and 2,402 for the same months, respectively, indicating that in the absence of vector control simuliid populations have reverted to their original equilibrium levels. In contrast, even though MBRs at Pillar 83 (Djodji) were the highest observed throughout our study—at over 7,000 bites/person/month for February and March—these are lower than historical levels (1979 to 1986), with mean MBRs of 12,907 ± 1,720 and 11,389 ± 1,622 bites/person/month for February and March respectively, despite the fact that there were vector control trials conducted in 1981 [43]. This very high historical vector density was almost certainly due to the presence of the highly anthropophilic Djodji form of S. sanctipauli, which is now extinct [45].


A limitation of our study was that accurate comparisons between seasons were difficult given the lack of vector collector samples from the first four villages visited in the 2009 wet season trip, and the sporadic success of sampling at later times in the dry seasons. When it became apparent that fly catches in the tents were not truly representative of vector density, standard OCP vector collection methods were implemented. The baited tents worked with equal success for overall fly catches, and highlighted the strong anthropophilic host-seeking behaviour of most species, with the exception of S. damnosum s.s./S. sirbanum. When using human odour or human bait behind the electric-net traps, or the biconical tsetse traps, no host-seeking female blackflies were caught. This may be because olfactory cues were not great enough, or because blackflies can sense the presence of objects and are able to fly around them, without contacting electric wires or biconical trap entrances. Although further research into blackfly trapping methods is warranted and ongoing [78], we did not obtain any evidence that either of the traps tested here may be suitable for large-scale blackfly collection to replace vector collectors. This is in contrast to other studies reporting the capture of 481 blackflies per day [53] or even higher in an unwashed, baited biconical trap of up to 2,123 flies in one day, with S. yahense appearing to be less likely to enter the traps than S. sanctipauli[54].


We demonstrated substantial spatial and temporal variation in the distribution, host-seeking activity, daily biting patterns and parous rates of sibling species of the S. damnosum complex of onchocerciasis vectors in southern Ghana. MBRs tended to be higher in the wet season, whilst parity rates were significantly higher in the dry season, resulting in MPBRs being highest overall in the dry season. In savannah regions, exposure to parous flies (potentially carrying O. volvulus) reached up to 800 parous bites/person/month in the dry season by S. damnosum s.s./ S. sirbanum, with MBRs as high as those documented prior to vector control, indicating that in the absence of antivectorial measures, ecological conditions favourable to transmission exist. These may contribute to the persistence of infection when local parasite elimination has not been achieved, or contribute to its recrudescence if infection persists in contiguous areas, both important considerations for the elimination efforts that African countries, including Ghana, have embarked upon. In the Volta region, S. squamosum contributed the most to the MPBRs, with over 4,000 parous bites/person/month in the dry season at Pillar 83/Djodji. In the southern forested regions, S. sanctipauli remains the greatest contributor to the risk of O. volvulus exposure. Our results indicate that for transmission dynamics models to be useful in examining the feasibility of onchocerciasis elimination across African foci, the vector component of such models would need to be modified to take into account the diversity of species that contribute to O. volvulus transmission on their own or in combination at sites with mixed species composition and vectorial capacities. According to their vector competence for O. volvulus, the contribution of different species to transmission may vary as microfilarial loads decrease due to disparities in density-dependent parasite uptake and vector survival [79]. Besides, the susceptibility of different species to add-on interventions, such as focal vector control, will have to be tested if complementary tools are to be deployed to accelerate progress towards onchocerciasis elimination.

Authors’ contributions

MGB, RAC, RJP, MDW, PHLL designed the project; DAB, MDW, MYO-A assisted with set up in the field; RAC, PHLL, PW, IT, MYO-A, ATK collected the data; RAC, PW, PHLL dissected the flies; PHLL, MW analysed the data; PHLL, MGB, RAC, PW, IT, RJP, MW wrote the manuscript and provided intellectual input. All authors contributed to the final manuscript and approved the submitted version.

Additional files



Community-directed treatment with ivermectin: the current control strategy for reducing onchocerciasis transmission, infection load and morbidity


Daily biting rate: the number of vector bites received per host in a day


Hourly biting rate: the number of vector bites received per host in an hour


Monthly biting rate: the number of vector bites received per host in a month


Monthly parous biting rate: the number of bites by parous flies received per host in a month


Monthly transmission potential: the number of L3 larvae to which a host is exposed in a month


Onchocerciasis control programme in West Africa – run in Ghana from 1974 until 2002


Parous rate: the proportion of adult female flies who are parous


Sensu lato


Sensu stricto


World Health Organization


  1. Post RJ, Cheke RA, Boakye DA, Wilson MD, Osei-Atweneboana MY, Tetteh-Kumah A, Lamberton PHL, Crainey JL, Yameogo L, Basanez MG: Stability and change in the distribution of cytospecies of the Simulium damnosum complex (Diptera: Simuliidae) in southern Ghana from 1971 to 2011. Parasit Vectors. 2013, 6: 205-

    Article  PubMed Central  PubMed  Google Scholar 

  2. Blacklock DB: The development of Onchocerca volvulus in Simulium damnosum. Ann Trop Med Parasitol. 1926, 20: 1-48.

    Google Scholar 

  3. Adler PH, Cheke RA, Post RJ: Evolution, epidemiology, and population genetics of black flies (Diptera: Simuliidae). Infect Genet Evol. 2010, 10 (7): 846-865.

    Article  PubMed  Google Scholar 

  4. Adler PH, Crosskey RW: World Blackflies (Diptera: Simuliidae): A comprehensive Revision of the Taxonomic and Geographical Inventory [2014]. In Available: , accessed 02 October 2014. 2014., []

  5. Garms R, Cheke RA: Infections with Onchocerca volvulus in different members of the Simulium damnosum complex in Togo and Benin. Zeit Ange Zool. 1985, 72: 479-495.

    Google Scholar 

  6. Dunbar RW: Four sibling species included in Simulium damnosum Theobald (Diptera:Simuliidae) from Uganda. Nature. 1966, 209: 597-599.

    Article  Google Scholar 

  7. Post RJ, Mustapha M, Krueger A: Taxonomy and inventory of the cytospecies and cytotypes of the Simulium damnosum complex (Diptera: Simuliidae) in relation to onchocerciasis. Trop Med Int Health. 2007, 12 (11): 1342-1353.

    Article  CAS  PubMed  Google Scholar 

  8. Vajime CG, Dunbar RW: Chromosomal identification of eight species of the subgenus Edwardsellum near and including Simulium (Edwardsellum) damnosum Theobald (Deptera: Simuliidae). Tropenmed Parasitol. 1975, 26 (1): 111-138.

    CAS  PubMed  Google Scholar 

  9. Meredith SE, Cheke RA, Garms R: Variation and distribution of forms of Simulium soubrense and S. sanctipauli in West Africa. Ann Trop Med Parasitol. 1983, 77 (6): 627-640.

    CAS  PubMed  Google Scholar 

  10. Wilson MD, Post RJ, Gomulski LM: Multivariate morphotaxonomy in the identification of adult females of the Simulium damnosum Theobald complex (Diptera: Simuliidae) in the Onchocerciasis Control Programme area of West Africa. Ann Trop Med Parasitol. 1993, 87 (1): 65-82.

    CAS  PubMed  Google Scholar 

  11. Garms R, Zillmann U: Morphological identification of Simulium sanctipauli and S. yahense in Liberia and comparison of results with those of enzyme electrophoresis. Tropenmed Parasitol. 1984, 35 (4): 217-220.

    CAS  PubMed  Google Scholar 

  12. Quillévéré D, Sechan Y, Pendriez B: Studies on the Simulium damnosum complex in West Africa - V. Morphological identification of the females in Ivory Coast (author's transl). Tropenmed Parasitol. 1977, 28 (2): 244-253. Article in French

    PubMed  Google Scholar 

  13. Garms R: Use of morphological characters in the study of Simulium damnosum s.l. populations in West Africa. Tropenmed Parasitol. 1978, 29: 483-491.

    CAS  PubMed  Google Scholar 

  14. Kurtak DC, Raybould JN, Vajime C: Wing tuft colours in the progeny of single individuals of Simulium squamosum (Enderlein). Trans R Soc Trop Med Hyg. 1981, 75 (1): 126-

    Article  CAS  PubMed  Google Scholar 

  15. Garms R, Cheke RA, Vajime C, Sowah SA: The occurrence and movements of different members of the Simulium damnosum complex in Togo and Benin. Zeit Ange Zool. 1982, 69: 219-236.

    Google Scholar 

  16. Mank R, Wilson MD, Rubio JM, Post RJ: A molecular marker for the identification of Simulium squamosum (Diptera: Simuliidae). Ann Trop Med Parasitol. 2004, 98 (2): 197-208.

    Article  CAS  PubMed  Google Scholar 

  17. African Programme for Onchocerciasis Control: Conceptual and operational framework of onchocerciasis elimination with ivermectin treatment. WHO/APOC; 2010. Available: [], accessed: 01 October 2014., []

  18. Plaisier AP, van Oortmarssen GJ, Habbema JD, Remme J, Alley ES: ONCHOSIM: a model and computer simulation program for the transmission and control of onchocerciasis. Comput Methods Programs Biomed. 1990, 31 (1): 43-56.

    Article  CAS  PubMed  Google Scholar 

  19. Plaisier AP, Alley ES, van Oortmarssen GJ, Boatin BA, Habbema JDF: Required duration of combined annual ivermectin treatment and vector control in the Onchocerciasis Control Programme in West Africa. Bull World Health Organ. 1997, 75 (3): 237-245.

    PubMed Central  CAS  PubMed  Google Scholar 

  20. Basáñez MG, Boussinesq M: Population biology of human onchocerciasis. Philos Trans R Soc Lond B Biol Sci. 1999, 354 (1384): 809-826.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Winnen M, Plaisier AP, Alley ES, Nagelkerke NJ, van Oortmarssen G, Boatin BA, Habbema JDF: Can ivermectin mass treatments eliminate onchocerciasis in Africa?. Bull World Health Organ. 2002, 80 (5): 384-391.

    PubMed Central  CAS  PubMed  Google Scholar 

  22. Filipe JAN, Boussinesq M, Renz A, Collins RC, Vivas-Martinez S, Grillet ME, Little MP, Basáñez MG: Human infection patterns and heterogeneous exposure in river blindness. Proc Natl Acad Sci U S A. 2005, 102 (42): 15265-15270.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Duerr HP, Eichner M: Epidemiology and control of onchocerciasis: the threshold biting rate of savannah onchocerciasis in Africa. Int J Parasitol. 2010, 40: 641-650.

    Article  PubMed  Google Scholar 

  24. Duerr HP, Raddatz G, Eichner M: Control of onchocerciasis in Africa: threshold shifts, breakpoints and rules for elimination. Int J Parasitol. 2011, 41: 581-589.

    Article  PubMed  Google Scholar 

  25. Turner HC, Churcher TS, Walker M, Osei-Atweneboana MY, Prichard RK, Basáñez MG: Uncertainty surrounding projections of the long-term impact of ivermectin treatment on human onchocerciasis. PLoS Negl Trop Dis. 2013, 7 (4): e2169-

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Turner HC, Walker M, Churcher TS, Basanez MG: Modelling the impact of ivermectin on River Blindness and its burden of morbidity and mortality in African Savannah: EpiOncho projections. Parasit Vectors. 2014, 7: 241-

    Article  PubMed Central  PubMed  Google Scholar 

  27. Davies JB: Description of a computer model of forest onchocerciasis transmission and its application to field scenarios of vector control and chemotherapy. Ann Trop Med Parasitol. 1993, 87 (1): 41-63.

    CAS  PubMed  Google Scholar 

  28. Demanou M, Enyong P, Pion SD, Basáñez MG, Boussinesq M: Experimental studies on the transmission of Onchocerca volvulus by its vector in the Sanaga valley (Cameroon): Simulium squamosum B. Intake of microfilariae and their migration to the haemocoel of the vector. Ann Trop Med Parasitol. 2003, 97 (4): 381-402.

    Article  CAS  PubMed  Google Scholar 

  29. Soumbey-Alley E, Basáñez MG, Bissan Y, Boatin BA, Remme JH, Nagelkerke NJ, de Vlas SJ, Borsboom GJ, Habbema JD: Uptake of Onchocerca volvulus (Nematoda: Onchocercidae) by Simulium (Diptera: Simuliidae) is not strongly dependent on the density of skin microfilariae in the human host. J Med Entomol. 2004, 41 (1): 83-94.

    Article  PubMed  Google Scholar 

  30. Cheke RA, Basáñez MG, Perry M, White MT, Garms R, Obuobie E, Lamberton PHL, Young S, Osei-Ateweneboana MY, Intsiful J, Boakye DA, Wilson MD: Potential effects of warmer worms and vectors on onchocerciasis transmission in West Africa.Philos Trans R Soc Lond B Biol Sci 2014, in press.,

  31. Basáñez MG, Rodríguez-Pérez MA, Reyes-Villanueva F, Collins RC, Rodríguez MH: Determination of sample sizes for the estimation of Onchocerca volvulus (Filarioidea: Onchocercidae) infection rates in biting populations of Simulium ochraceum s.l. (Diptera: Simuliidae) and its application to ivermectin control programs. J Med Entomol. 1998, 35 (5): 745-757.

    Article  PubMed  Google Scholar 

  32. Grillet ME, Basáñez MG, Vivas-Martinez S, Villamizar N, Frontado H, Cortez J, Coronel P, Botto C: Human onchocerciasis in the Amazonian area of southern Venezuela: spatial and temporal variations in biting and parity rates of black fly (Diptera: Simuliidae) vectors. J Med Entomol. 2001, 38 (4): 520-530.

    Article  CAS  PubMed  Google Scholar 

  33. Grillet ME, Villamizar NJ, Cortez J, Frontado HL, Escalona M, Vivas-Martinez S, Basáñez MG: Diurnal biting periodicity of parous Simulium (Diptera: Simuliidae) vectors in the onchocerciasis Amazonian focus. Acta Trop. 2005, 94 (2): 139-158.

    Article  PubMed  Google Scholar 

  34. Vieira JC, Brackenboro L, Porter CH, Basáñez MG, Collins RC: Spatial and temporal variation in biting rates and parasite transmission potentials of onchocerciasis vectors in Ecuador. Trans R Soc Trop Med Hyg. 2005, 99 (3): 178-195.

    Article  CAS  PubMed  Google Scholar 

  35. Davis JR, Wasserman SS, Trpis M: Diurnal biting activity and transmission of Onchocerca volvulus (Filariata: Onchocercidae) by Simulium yahense (Diptera: Simuliidae) in Liberia. J Med Entomol. 1994, 31 (2): 217-224.

    Article  CAS  PubMed  Google Scholar 

  36. Le Berre R: Contribution à l'étude biologique et écologique de Simulium damnosum theobald, 1903 (Diptera, Simuliidae). Mém ORSTOM. 1966, 17: 204-

    Google Scholar 

  37. Garms R: Quantitative studies on the transmission of Onchocerca volvulus by Simulium damnosum in the Bong Range, Liberia. Z Tropenmed Parasitol. 1973, 24 (3): 358-372.

    CAS  PubMed  Google Scholar 

  38. Turner HC, Osei-Atweneboana MY, Walker M, Tettevi EJ, Churcher TS, Asiedu O, Biritwum NK, Basáñez MG: The cost of annual versus biannual community-directed treatment of onchocerciasis with ivermectin: Ghana as a case study. PLoS Negl Trop Dis. 2013, 7 (9): e2452-

    Article  PubMed Central  PubMed  Google Scholar 

  39. Remme J, Baker RH, De Sole G, Dadzie KY, Walsh JF, Adams MA, Alley ES, Avissey HS: A community trial of ivermectin in the onchocerciasis focus of Asubende, Ghana. I. Effect on the microfilarial reservoir and the transmission of Onchocerca volvulus. Trop Med Parasitol. 1989, 40 (3): 367-374.

    CAS  PubMed  Google Scholar 

  40. Alley ES, Plaisier AP, Boatin BA, Dadzie KY, Remme J, Zerbo G, Samba EM: The impact of five years of annual ivermectin treatment on skin microfilarial loads in the onchocerciasis focus of Asubende, Ghana. Trans R Soc Trop Med Hyg. 1994, 88 (5): 581-584.

    Article  CAS  PubMed  Google Scholar 

  41. Cheke RA: Cycles in daily catches of members of the Simulium damnosum species complex. Trop Med Parasitol. 1995, 46 (4): 247-252.

    CAS  PubMed  Google Scholar 

  42. Plaisier AP, Alley ES, Boatin BA, Van Oortmarssen GJ, Remme H, De Vlas SJ, Bonneux L, Habbema JD: Irreversible effects of ivermectin on adult parasites in onchocerciasis patients in the Onchocerciasis Control Programme in West Africa. J Infect Dis. 1995, 172 (1): 204-210.

    Article  CAS  PubMed  Google Scholar 

  43. Cheke RA, Garms R: Reinfestations of the southeastern flank of the Onchocerciasis Control Programme area by windborne vectors. Philos Trans R Soc Lond B Biol Sci. 1983, 302: 471-484.

    Article  Google Scholar 

  44. Cheke RA, Garms R, Ouedraogo J, Some A, Sowah S: The Beffa form of Simulium soubrense of the S. damnosum complex in Togo and Benin. Med Vet Entomol. 1987, 1 (1): 29-35.

    Article  CAS  PubMed  Google Scholar 

  45. Cheke RA, Fiasorgbor GK, Walsh JF, Yameogo L: Elimination of the Djodji form of the blackfly Simulium sanctipauli sensu stricto as a result of larviciding by the WHO Onchocerciasis Control Programme in West Africa. Med Vet Entomol. 2008, 22 (2): 172-174.

    Article  CAS  PubMed  Google Scholar 

  46. Garms R, Cheke RA, Fiasorgbor GK, Walsh JF: Seasonal extension of the breeding range of Simulium sanctipauli from forest into savanna in eastern Ghana and Togo. Zeit Ange. 1989, 76: 457-467.

    Google Scholar 

  47. Cheke RA, Denke AM: Anthropophily, zoophily and roles in onchocerciasis transmission of the Djodji form of Simulium sanctipauli and S. squamosum in a forest zone of Togo. Trop Med Parasitol. 1988, 39 (2): 123-127.

    CAS  PubMed  Google Scholar 

  48. Walsh JF, Davies JB, Le Berre R, Garms R: Standardization of criteria for assessing the effect of Simulium control in onchocerciasis control programmes. Trans R Soc Trop Med Hyg. 1978, 72 (6): 675-676.

    Article  CAS  PubMed  Google Scholar 

  49. Omolo MO, Hassanali A, Mpiana S, Esterhuizen J, Lindh J, Lehane MJ, Solano P, Rayaisse JB, Vale GA, Torr SJ, Tirados I: Prospects for developing odour baits to control Glossina fuscipes spp., the major vector of human African trypanosomiasis. PLoS Negl Trop Dis. 2009, 3 (5): e435-

    Article  PubMed Central  PubMed  Google Scholar 

  50. Rayaisse JB, Tirados I, Kaba D, Dewhirst SY, Logan JG, Diarrassouba A, Salou E, Omolo MO, Solano P, Lehane MJ, Pickett JA, Vale GA, Torr SJ, Esterhuizen J: Prospects for the development of odour baits to control the tsetse flies Glossina tachinoides and G. palpalis s.l. PLoS Negl Trop Dis. 2010, 4 (3): e632-

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  51. Torr SJ, Mangwiro TN, Hall DR: Shoo fly, don't bother me! Efficacy of traditional methods of protecting cattle from tsetse. Med Vet Entomol. 2011, 25 (2): 192-201.

    Article  CAS  PubMed  Google Scholar 

  52. Dugassa S, Lindh JM, Torr SJ, Oyieke F, Lindsay SW, Fillinger U: Electric nets and sticky materials for analysing oviposition behaviour of gravid malaria vectors. Malar J. 2012, 11: 374-

    Article  PubMed Central  PubMed  Google Scholar 

  53. Ham PJ, Sachs C: The use of modified Challier-Lavéissière Tsetse traps to replace human vector collectors in Simulium damnosum surveys. Trop Med Parasitol. 1986, 37 (Suppl): 80-

    Google Scholar 

  54. Cheke RA, Garms R: Trials of attractants to enhance biconical trap catches of Simulium yahense and S. sanctipauli s.l. Trop Med Parasitol. 1987, 38: 62-63.

    Google Scholar 

  55. Dang PT, Peterson BV: Pictorial keys to the main species and species groups within the Simulium damnosum Theobald complex occurring in West Africa (Diptera: Simuliidae). Tropenmed Parasitol. 1980, 31 (1): 117-120.

    CAS  PubMed  Google Scholar 

  56. Lewis DJ: Observations on Simulium damnosum Theobald at Lokoja in Northern Nigeria. Ann Trop Med Parasitol. 1958, 52 (2): 216-231.

    CAS  PubMed  Google Scholar 

  57. R_Development_Core_Team: R: A language and environment for statistical computing. In Vienna, Austria: R Foundation for Statistical Computing; 2008. ., []

  58. Clopper CJ, Pearson ES: The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika. 1934, 26: 404-413.

    Article  Google Scholar 

  59. McCullagh P, Nelder JA: Generalized Linear Models. 1989, Chapman & Hall, London, 2

    Book  Google Scholar 

  60. World Health Organization: Accelerating work to overcome the global impact of neglected tropical diseases – A roadmap for implementation. In ; 2012. Available: [], accessed: 26 October 2014., []

  61. World Health Organization: Criteria for certification of interruption of transmission/elimination of human onchocerciasis. Report of a meeting held in Geneva, 28–29 September 2000. In Geneva: World Health Organization; 2001. WHO/CDS/CPE/CEE/2001.18a. Available: [], accessed: 02 October 2014., []

  62. Gustavsen K, Hopkins A, Sauerbrey M: Onchocerciasis in the Americas: from arrival to (near) elimination. Parasit Vectors. 2011, 4: 205-

    Article  PubMed Central  PubMed  Google Scholar 

  63. Guevara AG, Vieira JC, Lilley BG, López A, Vieira N, Rumbea J, Collins R, Katholi CR, Unnasch TR: Entomological evaluation by pool screen polymerase chain reaction of Onchocerca volvulus transmission in Ecuador following mass Mectizan distribution. Am J Trop Med Hyg. 2003, 68 (2): 222-227.

    PubMed  Google Scholar 

  64. Wilson MD, Cheke RA, Flasse SP, Grist S, Osei-Ateweneboana MY, Tetteh-Kumah A, Fiasorgbor GK, Jolliffe FR, Boakye DA, Hougard JM, Yameogo L, Post RJ: Deforestation and the spatio-temporal distribution of savannah and forest members of the Simulium damnosum complex in southern Ghana and south-western Togo. Trans R Soc Trop Med Hyg. 2002, 96 (6): 632-639.

    Article  CAS  PubMed  Google Scholar 

  65. Grunewald J: The hydro-chemical and physical conditions of the environment of the immature stages of some species of the Simulium (Edwardsellum) damnosum complex (Diptera). Tropenmed Parasitol. 1976, 27: 438-454.

    CAS  PubMed  Google Scholar 

  66. Quillévéré D: Contribution à l’étude des caractéristiques taxonomiques, bioécologiques et vectrices des membres du complexe Simulium damnosum presents en Côte d’Ivoire. Trav Doc ORSTOM. 1979, 109: 304-Available: [], accessed 09826 October 02014

    Google Scholar 

  67. Crosskey RW: The Natural History of Blackflies. 1990, John Wiley & Sons Ltd, Chichester

    Google Scholar 

  68. Adeleke MA, Mafiana CF, Sam-Wobo SO, Olatunde GO, Ekpo UF, Akinwale OP, Toe L: Biting behaviour of Simulium damnosum complex and Onchocerca volvulus infection along the Osun River, Southwest Nigeria. Parasit Vectors. 2010, 3: 93-

    Article  PubMed Central  PubMed  Google Scholar 

  69. Renz A: Studies on the dynamics of transmission of onchocerciasis in a Sudan-savanna area of North Cameroon III. Infection rates of the Simulium vectors and Onchocerca volvulus transmission potentials. Ann Trop Med Parasitol. 1987, 81 (3): 239-252.

    CAS  PubMed  Google Scholar 

  70. Yaméogo L, Toé L, Hougard JM, Boatin BA, Unnasch TR: Pool screen polymerase chain reaction for estimating the prevalence of Onchocerca volvulus infection in Simulium damnosum sensu lato: results of a field trial in an area subject to successful vector control. Am J Trop Med Hyg. 1999, 60 (1): 124-128.

    PubMed  Google Scholar 

  71. Rodríguez-Pérez MA, Katholi CR, Hassan HK, Unnasch TR: Large-scale entomologic assessment of Onchocerca volvulus transmission by poolscreen PCR in Mexico. Am J Trop Med Hyg. 2006, 74 (6): 1026-1033.

    PubMed  Google Scholar 

  72. Le Berre R, Balay G, Brengues J, Coz J: Biologie et écologie de la femelle de Simulium damnosum theobald, 1903, en fonction des zones bioclimatiques d’Afrique occidentale. Influence sur l'epidemiologie de l'onchocercose. Bull World Health Organ. 1964, 31: 843-855.

    PubMed Central  CAS  Google Scholar 

  73. Philippon B: Etude de la transmission d'Onchocerca volvulus (Leuckart, 1893) (Nematoda, Onchocercidae) par Simulium damnosum Theobald, 1903 (Diptera: Simuliidae) en Afrique tropicale. Travaux et Documents de l’ ORSTOM. 1977, 63-

    Google Scholar 

  74. Adewale B, Oyerinde JP, Mafe MA: Seasonal biting pattern of Simulium damnosum s.l. and its implications on onchocerciasis treatment with ivermectin. West Afr J Med. 2008, 27 (4): 224-229.

    CAS  PubMed  Google Scholar 

  75. Cheke RA, Sowah SA, Avissey HS, Fiasorgbor GK, Garms R: Seasonal variation in onchocerciasis transmission by Simulium squamosum at perennial breeding sites in Togo. Trans R Soc Trop Med Hyg. 1992, 86 (1): 67-71.

    Article  CAS  PubMed  Google Scholar 

  76. Achukwi MD, Harnett W, Renz A:Onchocerca ochengi transmission dynamics and the correlation of O. ochengi microfilaria density in cattle with the transmission potential. Vet Res. 2000, 31 (6): 611-621.

    Article  CAS  PubMed  Google Scholar 

  77. Katholi CR, Unnasch TR: Important experimental parameter for determining infection rates in arthropod vectors using pool screening approaches. Am J Trop Med Hyg. 2006, 74: 779-785.

    PubMed  Google Scholar 

  78. Rodríguez-Pérez MA, Adeleke MA, Burkett-Cadena ND, Garza-Hernandez JA, Reyes-Villanueva F, Cupp EW, Toé L, Salinas-Carmona MC, Rodríguez-Ramirez AD, Katholi CR, Unnasch TR: Development of a novel trap for the collection of black flies of the Simulium ochraceum complex. PLoS One. 2013, 8 (10): e76814-

    Article  PubMed Central  PubMed  Google Scholar 

  79. Basáñez MG, Churcher TS, Grillet ME:Onchocerca-Simulium interactions and the population and evolutionary biology of Onchocerca volvulus. Adv Parasitol. 2009, 68: 263-313.

    Article  PubMed  Google Scholar 

Download references


In Ghana, we are grateful to our field assistant, Mr Sampson Otoo, and our drivers Mr Bismark Lamptey and Mr Samuel Abbey, from the Noguchi Memorial Institute of Medical Research of the University of Ghana at Legon. We are also indebted to local villagers and community ivermectin distributors for their help with the field work. Ms Kelly Shew contributed with fly dissection in the laboratory at Imperial College London and University of Greenwich at Medway. Dr Nana-Kwadwo Biritwum (coordinator of the Neglected Tropical Disease Programme at the Ghana Health Service) provided data on the ivermectin distribution starting dates and frequency for the study villages. We are also grateful to Dr Boakye A. Boatin (previously Director of the OCP) for access to historical OCP entomological data.


PHLL is currently funded by a Junior Research Fellowship at Imperial College London, and for this work by the Wellcome Trust (grant 085133/Z/08/Z, to MGB); MW is funded by the Wellcome Trust (grant 092677/Z/10/Z, to MGB); PW would like to acknowledge support from the Biology and Biotechnology Scientific Research Council (BBSRC) training grant (BB/I015957/1). MYO-A and MGB thank the Royal Society-Leverhulme Trust for a Capacity Building Africa Award. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Poppy HL Lamberton.

Additional information

Competing interests

The authors declare that they have no competing interests.

Electronic supplementary material


Additional file 1: Summary of host-seeking blackflies caught, by locality, season, trapping technique and species.(PDF 218 KB)

Additional file 2: Graphs of the parous rates of each species for both dry and wet seasons.(PDF 16 KB)

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lamberton, P.H., Cheke, R.A., Walker, M. et al. Onchocerciasis transmission in Ghana: biting and parous rates of host-seeking sibling species of the Simulium damnosum complex. Parasites Vectors 7, 511 (2014).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: