- Open Access
Pattern of malaria transmission along the Rahad River basin, Eastern Sudan
© Himeidan et al; licensee BioMed Central Ltd. 2011
Received: 10 May 2011
Accepted: 16 June 2011
Published: 16 June 2011
Understanding malaria vector mosquitoes and their infectivity dynamics is of importance in setting up intervention and control programmes. Patterns of malaria transmission have been shown to differ between non-irrigated and irrigated semi-arid areas of eastern Sudan. However, very little information is available regarding malaria transmission dynamics along the seasonal river's basin. Such information is required for the design of effective vector control strategies.
A longitudinal study for mosquito sampling using pyrethrum spray catch (PSC) was conducted in two villages (Koka & Um Salala) along the Rahad River basin from December 2005 to October 2006. The Plasmodium falciparum circumsporozoite (CSP) and human blood index (HBI) were detected by ELISA. Three seasons were considered and the surveys represented cool dry, hot dry and rainy seasons were November - February, March - June, July - October, respectively. The CSP was compared between the seasons and populations using Chi-square test. The differences between the seasons and the populations in the other entomological indices, including Entomological Inoculation Rates (EIR), were measured using Tukey-Kramer HSD and Student T-test, respectively. The association between An. arabiensis density and monthly total rainfall was examined using regression analysis.
A total of 1,402 adult female anopheline mosquitoes were sampled, of which 98% were An. gambiae complex; the rest were An. rufipes. All specimens of An. gambiae complex identified by the PCR were An. arabiensis. Bimodal annual peaks of An. arabiensis densities were observed following the peak of rainfall and recess of the Rahad River after a time- lag of two months (Koka r = 0.79, d.f. = 1, P = 0.05; Um Salala, r = 0.88, d.f. = 1, P = 0.02). The CSP differed significantly among the seasons only in Koka (P = 0.0009) where the mean was nine times higher than in Um Salala (P = 0.0014). Active transmission was observed in Koka during the hot, dry season (CSP = 6.25%) and the EIR was observed to be 0.01 ib/p/n during this time. The EIR peaked to 0.71 ib/p/n during the rainy season and decreased to 0.18 ib/p/n during the minor peak of the cool dry season (P = 0.54). The combined annual average of the EIR for both populations was 55.48 ib/p/y and, typically, it would take approximately 192.7 days for an individual to receive an infective bite from An. arabiensis.
The bimodal annual peaks and the active transmission observed during the hot dry season suggested low to moderate perennial malaria transmission pattern. Infectivity and transmission rates increased with proximity to the river following the peak of rainfall and the subsequent recession in the flow of the Rahad River. Current vector interventions can be integrated with larval control and should be formatted in accordance with targeted according to the time and space.
Variation in exposure to malaria-infected mosquitoes is almost certainly the main force behind focal malaria transmission [1–3]. An understanding of both the temporal and spatial variations in human biting rates and exposure dynamics has been used to create opportunities for focused malaria control . However, targeting malaria intervention would require, in a particular region, a comparative understanding of transmission dynamics, which could be achieved through quantifying the potential risk factors. It is important when malaria transmission rate is on decline, that the control measures be directed towards the transmission foci [5–7].
The estimation of the entomological inoculation rate (EIR) provides a standard and relatively simple means of quantifying levels of human exposure to infected mosquitoes . The EIR uses the proportion of mosquitoes containing sporozoites, and the human biting rate per unit time . These indices that have been shown to be driven largely by environmental factors . The EIR is therefore considered the more direct measure of transmission dynamics than the traditional measures of malaria parasite rate or hospital-based measures of infection or disease incidence [11–13]. Estimating the EIR also remains the most favoured measurement for assessing the effect of vector control actions because it quantifies the parasite-infected mosquito pool and its propensity to transmit infectious parasites to the human population . There are, however, substantial gaps in the annual EIR across Africa, and past estimates of EIR were found to be available in only 23 of the 54 African countries, with 56% of the measures coming from only four countries (Kenya, Burkina Faso, Tanzania, and The Gambia) .
In eastern Sudan, the EIR estimates are only available in non-irrigated, rain-dependant agricultural areas. This region as reported where two to three infective bites per person per year occurring entirely at the end of the rainy season . A different pattern of malaria transmission, from perennial to moderate transmission has been observed in irrigated semi-arid areas of eastern Sudan [16, 17]. However, very little information is available about the seasonal variation and intensity of malaria transmission along the river basin. Such information is required for the design of effective vector control strategies. The present longitudinal entomological surveys examined seasonal variations of the EIR at two villages along the Rahad River basin in eastern Sudan.
Mosquito sampling and identification
Mosquitoes were monitored in the two villages from a randomly selected sample of twenty houses once every two months. These 20 houses were fixed for adult samplings throughout the study period between December 2005 and October 2006. As the density of the vector An. arabiensis has been shown to be very low and with marked seasonality in the region , only the PSC method was used for sampling the adult vector . In the field, collected mosquitoes were preserved in Petri dishes with moist filter paper and brought to the laboratory for further processing.
Mosquitoes were identified according to species on the basis of morphological characteristics . A proportion of females of An. gambiae complex were identified to sibling species by polymerase chain reaction (PCR). DNA was extracted from mosquito legs and the PCR reaction conditions used were; denaturing (1 cycle for 5 minutes at 94°C), annealing (35 cycles; for 30 seconds at 94°C, for 40 seconds at 50°C, for 40 seconds at 72°C), and extension (1 cycle for 10 minutes at 72°C) . Primers used were specific for An. arabiensis, An. gambiae s.s, An. quadriannulatus and An. merus, members of the An. gambiae complex. At the time of mosquito collection, the number of individuals who slept in each house the previous night was recorded.
Sporozoite rate and human blood meal source determination
Female anopheline mosquitoes were recorded according to their abdominal status as unfed, freshly fed, half-gravid and gravid. The head and thorax of blood-fed and half gravid females of An. gambiae complex were separated from abdomen and stored separated in labeled vials containing 80% ethanol. The heads and thoraces of all anopheline mosquitoes were examined for the presence of P. falciparum circumsporozoite (CS) antigen . Mosquitoes were ground in 50 μl of boiled casein containing IGPAL CA-630 and final volume brought to 250 μl with blocking buffer. Fifty microliters of the titrate was used in sporozoite enzyme-linked immunosorbent assays (ELISA). Positive reactions were assessed visually and each positive sample for sporozoite infection was retested for further confirmation . The sporozoite rate was calculated by dividing the number of positive mosquitoes by total number of mosquito tested. The mosquitoes found to be positive for human blood meal were used to derive the human blood index. The ELISA procedure for blood meal source determination was adopted as described previously . Briefly, each mosquito was ground in 50 μl of 0.01 M phosphate buffered saline (1x PBS), pH 7.4 and frozen at 20°C until tested. Mosquito triturate (50 μl) was diluted in PBS (1:50) and added to wells of polyvinyl chloride, U-shaped, 96-well microtitre plates. Four negative controls (unfed mosquitoes from the insectary) and one positive control were used. The plate was covered and incubated at room temperature for 3 hours. Each well was then washed twice with PBS containing 0.5% Tween 20, followed by the addition of 50 μl host specific conjugate (antihost IgG, H&L) diluted 1:2,000 or 1:250 for bovine in boiled casein containing 0.025% Tween20. The plates were incubated for one hour in room temperature, washed three times with PBS-Tw20 and 100 μl of ABTS (2, 2'-azino-di-[3-ethyl benzthiazoline sulfonate]), peroxidase was added to each well and the absorbance at 405 nm was determined with an ELISA plate reader 30 minutes after the addition of substrate. Reactions of dark green color were used as indicator for human blood presence. Samples were considered positive when the absorbance value exceeds the mean plus three times the standard deviation of the four negative controls.
Entomologic inoculation rate (EIR)
EIR is a standard measure of transmission intensity and is expressed as the number of infective bites per person per unit time (e.g., per day, month , year). It was calculated by multiplying the human-biting rate by the proportion of sporozoite positive mosquitoes. The human biting rates (the number of biting mosquitoes per human- night), was calculated by dividing the total number of blood-fed and half-gravid mosquitoes caught in PSC catches by the number of persons slept in the house the night preceding collection and multiplied by the human blood index. The annual (ib/p/y) inoculation rate was derived by multiplying the daily EIR (ib/p/n) by 365.
The human biting rates (bites/person-night), sporozoite rates (% of mosquitoes found ELISA-positive for CSP) and entomological inoculation rates (EIR; infective bites per person/night//person/year) were calculated for the different populations and seasons. Chi-square test was used to compare the proportions of mosquitoes with P. falciparum sporozoite among the different seasons and populations. Homoscedastic T - tests was used to examine the differences in means of An. arabiensis density, human biting rate, and the EIR between the two populations. Tukey-Kramer HSD test was applied to compare the means of these entomological indices among the different seasons. The association between An. arabiensis density and monthly total rainfall was examined using regression analysis. The analysis was conducted using JMP statistical software (JMP SAS Institute Inc. 2003).
Ethical approval for this study was obtained from the Institute of Endemic Diseases Ethical Committee and from the National Ethical Committee of Sudan.
A total of 1,402 adult female anopheline mosquitoes were sampled during the study period, of which 98% (n = 1374) were An. gambiae complex and 2% (n = 28) were An. rufipes. None of An. rufipes out of 13 females tested was found to have fed on human blood. A proportion of An. gambiae complex (n = 227) specimens from different seasons were identified by the PCR and all found to be An. arabiensis.
Densities and human biting rates
Means of An. arabiensis density, human biting rate, sporozoite rate and entomological inoculation rate (EIR) in Koka and Um Salala villages, eastern Sudan, December 2005 to October 2006.
13.57 (1.20 - 25.93)2
2.34 (-0.2 - 4.88)
7.25 (3.39 - 11.10)
0.30 (-0.06 - 0.66)
9.33 (-3.03 - 21.70)
0.29 (-2.25 - 2.82)
0.79 (-3.07 - 4.65)
0.01 (-0.36 - 0.37)
Summary of surveys showed total number collected, biting rate (BR), human blood index (HBI), human biting rate (HBR), sporozoite rate (CSP) and entomological inoculation rate (EIR) of An. arabiensis in Koka and Um Salala, eastern Sudan, December 2005 - October 2006.
% CSP (No)
% CSP (No)
This pattern of An. arabiensis fluctuation closely followed the rainfall and the subsequent recess of the Rahad River upon its fragmentation into disparate ponds of water that are distributed on the river bed during the hot and cool and dry seasons. This relationship between monthly total rainfall and the relative densities of An. arabiensis established after a two months time lag was shown to be statistically significant (Koka r = 0.79, d.f. = 1, P = 0.05; Um Salala, r = 0.88, d.f. = 1, P = 0.02).
Means of An. arabiensis density, man biting rate, Sporozoite rate, human biting index and entomological inoculation rate (EIR) during the different seasons in Koka and Um Salala villages, eastern Sudan, December 2005 to October 2006.
Cool dry (November - February)
Hot dry (March - June)
Rainy (July - October)
Sporozoite and entomological inoculation rates (EIR)
In Koka, equal P. falciparum sporozoite rates (CSP = 14%) were observed in the population of An. arabiensis during both peaks in October (37/264) and in December (8/175). In Um Salala, the minor peak of P. falciparum sporozoite rate (1.59%) occurred in February (Table 2). In both villages, the main peak of the EIR occurred in October (1.42 ib/p/n in Koka and 0.02 ib/p/n in Um Salala) and the minor one, in December (0.36 ib/p/n in Koka and 0.004 ib/p/n in Um Salala) (Table 2). The lowest mean EIR was reported during the hot and dry seasons in both Koka (0.01 ib/p/n) and Um Salala (0.0 ib/p/n). Overall, the EIR remained similar throughout the seasons for both populations (Koka, F 2,3 = 0.75, P = 0.54; and Um Salala, F 2,3 = 0.77, P = 0.54). This is in spite of the fact that there was a significant difference in the proportion of infected mosquitoes in Koka (χ2 = 14.00, d.f. = 2, P = 0.001) whereas this was not the case in Um Salala (χ2 = 4.815, d.f. = 2, P = 0.090). Likewise, the EIR was similar between the two villages (t = 1.28, d.f. = 1, P = 0.23) in spite of the difference observed in the CSP between the two village vector populations (χ2 = 11.21, d.f. = 1, P = 0.0014) (Table 2 & 3).
While the observed average of the EIR was 0.30 ib/p/n,in Koka, it was 0.01 ib/p/n in Um Salala. (Table 1). The average EIR was also ranged from 0.01 ib/p/n during the hot dry season to 0.31 ib/p/n during the rainy season (Table 3). The combined average of the EIR calculated over the study period for the populations was 0.152 ib/p/n (95%CI, -1.0 - 9.1) and on average it would take approximately 192.7 days for an individual to receive an infective bite from An. arabiensis. The annual EIR estimated in the study area was 55.48 ib/p/y.
The ribosomal DNA-polymerase chain reaction has revealed that An. arabiensis was the only member of An. gambiae complex found in the study area. These results were similar to the previous observations from eastern Sudan [24, 25]. This vector has shown to adopt better to hot and arid conditions than An. gambiae s.s.[26, 27]; it appears to be distributed across Africa, predominantly in arid savannahs, in ecosystems similar to those found in the study area [28, 29]. The other anopheline species reported in the study area was An. rufipes which showed non-human blood feeding behaviour similar to the bovine blood feeding observed in rice cultivation areas of central Kenya .
The present study showed that the number of infective bites due to An. arabiensis was fluctuated with bimodal annual peaks. The major biting peak occurred during the rainy season when 79% of the total infective bites took place. The minor biting peak occurred during the cool dry season in December. Similar patterns have been shown in the same region in a permanent irrigated area of eastern Sudan . In general, the pattern observed in this area may be accounted for by seasonal rainfall, seasonal increase in the volume of the Rahad River and by temperature. In Sudan, recent studies showed that the fluctuation of seasonal density of An. arabiensis was generally fallowed rainfall . However, in areas where irrigated agricultural or rivers are found, a minor seasonal peak density of An. arabiensis was confirmed during the cool dry season [31–35]. It is well established that in eastern Sudan, rainfall is the significant climatic variable in the transmission of the disease, whereas heavy rainfall has been confirmed to initiate epidemics . In irrigated areas and along the river basins, a number of intermittent pools are persistent and maintain a relative low level of breeding activity of the vector An. arabiensis during the hot dry season [32, 36]. In the present study, the role of the Rahad River could be further confirmed by the relative high, but not significant, densities observed in Koka, the village closer to the river relative to Um Salala. In sub- Saharan Africa, it has been documented that houses or villages near water bodies i.e. swamps, rivers or streams, had higher Anopheles density than those just a few hundred meters away from the rivers or streams [37–39].
The present study showed that the sporozoite rate determined in Koka was nine folds higher than Um Salala and that people living in Koka received 30 times higher infective biting rates than those resides at Um Salala (Table 1). This could be supported by the fat that marked variation in the prevalence of P. falciparum malaria has been observed between the two populations and the infection was high in Koka population . Probably, this could be attributed to the high proportion of asymptomatic infections that has been shown previously among the Koka population during the hot dry season . In fact, in the present study, more than 34% of the different in the sporozoite rate between the two villages was related to this period. In eastern Sudan, the asymptomatic infections of the dry season have been shown to demonstrate high proportion of gametocytes (40%), and this has been confirmed by the sensitive gametocyte-specific RT-PCR . Based on mosquito feeding studies, it has been estimated that 28% of all transmission under setting of western Kenya is derived from asymptomatic gametocytes reservoir. This corresponded to 10-50 infectious bites per year, plenty to sustain a hyper or holoendemic pattern of malaria even if every symptomatic patient received highly effective treatment . In general, in sub-Saharan Africa, it has been accepted that villages only a few kilometers apart can have EIRs differing by several ten times [2, 43–46].
Overall, the combined mean annual P. falciparum EIR in the study area was 55.48 ib/p/y. This appeared to be greater than 2-3 ib/p/y that have been shown in non irrigated areas of eastern Sudan . However, the mean was still bellow the level of high endemic areas, where annual EIRs could be more than 700 ib/p/y in a period for more than six months . The pattern of transmission observed in the study area is likely perennial and moderate rather than seasonal and low and had typical fluctuation to that observed in areas of permanent irrigation system . These data suggests that, rainfall and riverine breeding sites are the main factors driving transmission pattern in the area whereas asymptomatic infection is likely to increase transmission intensity. Investigating spatial distribution of the most productive habitats is vital for targeting larval control. Research should continue to establish a safety and cost effective protocol for quantifying and treating the asymptomatic infection . This appears to be more important in order to reduce the overall transmission, particularly when plan of malaria control move towards elimination.
Given the observed bimodal annual peaks and active transmission during the hot dry season and the fact that the vector An. arabiensis has shown exhibited exophilic feeding behaviour  and knock down resistance (kdr) mechanism , none adulticides vector interventions such as larval control or source reduction should be integrated with the current vector control strategies of mass distribution of ITNs which has been shown confer less protection against exophagic vectors . In these dry savannah areas of semi-desert environments, such larval control program is more appropriate to be operated during the dry seasons when the distributions of vector breeding sites are limited to certain areas .
The technical assistance of staff of Malaria training center, Sennar state is greatly acknowledged. Dr. Robert Wirtz and Dr. Melissa Avery, Department of Medical Entomology, Centre of Disease Control and Prevention, Atlanta, USA, are greatly acknowledged for providing ELISA reagents. This study obtained financial assistance from the MIM/TDR research project (ID No. TDA 40048A) and the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement N° 242095.
- Clark TD, Greenhouse B, Njama-Meya D, Nzarubara B, Maiteki-Sebuguzi C, Staedke SG, Seto E, Kamya MR, Rosenthal PJ, Dorsey G: Factors determining the heterogeneity of malaria incidence in children in Kampala, Uganda. J Infect Dis. 2008, 198: 393-400. 10.1086/589778.View ArticlePubMedGoogle Scholar
- Elissa N, Migot-Nabias F, Luty A, Renaut A, Touré F, Vaillant M, Lawoko M, Yangari P, Mayombo J, Lekoulou F, Tshipamba P, Moukagni R, Millet P, Deloron P: Relationship between entomological inoculation rate, Plasmodium falciparum prevalence rate, and incidence of malaria attack in rural Gabon. Acta Trop. 2003, 85: 355-361. 10.1016/S0001-706X(02)00266-8.View ArticlePubMedGoogle Scholar
- Smith DL, Dushoff J, Snow RW, Hay SI: The entomological inoculation rate and Plasmodium falciparum infection in African children. Nature. 2005, 438: 492-495. 10.1038/nature04024.PubMed CentralView ArticlePubMedGoogle Scholar
- Carter R, Mendis KN, Roberts D: Spatial targeting of interventions against malaria. Bull World Health Organ. 2000, 78: 1401-1411.PubMed CentralPubMedGoogle Scholar
- Noor AM, Mutheu JJ, Tatem AJ, Hay SI, Snow RW: Insecticide-treated net coverage in Africa: mapping progress in 2000-07. Lancet. 2009, 373 (9657): 58-67. 10.1016/S0140-6736(08)61596-2.PubMed CentralView ArticlePubMedGoogle Scholar
- Snow RW, Marsh K: Will reducing Plasmodium falciparum transmission alter malaria transmission among African children?. Parasitol Today. 1995, 11: 435-442.Google Scholar
- Githeko AK, Service MW, Mbogo CM, Atieli FK, Juma FO: Plasmodium falciparum Sporozoite and entomological inoculation rates at the Ahero rice irrigation scheme and the Miwani sugar-belt in western Kenya. Ann Trop Med Parasitol. 1993, 87: 379-391.PubMedGoogle Scholar
- Killeen GF, Ross A, Smith T: Infectiousness of malaria-endemic human populations to vectors. Am J Trop Med Hyg. 2006, 75 (2 Suppl): 38-45.PubMedGoogle Scholar
- Burkot TR, Graves PM: The value of vector-based estimation of malaria transmission. Ann Trop Med Parasitol. 1995, 89: 125-134.PubMedGoogle Scholar
- Molineaux L, Muir DA, Spencer HC, Wernsdorfer WH: The epidemiology of malaria and its measurement. Malaria - principles and practice of malariology. Edited by: Wernsdorfer WH, McGregor I. 1988, Churchill Livingstone, Edinburgh, 999-1090.Google Scholar
- Kelly-Hope LA, Hemingway J, McKenzie FE: Environmental factors associated with the malaria vectors Anopheles gambiae and Anopheles funestus in Kenya. Malar J. 2009, 26: 8-268Google Scholar
- Beier JC, Killeen GF, Githure JI: Short report: entomologic inoculation rates and Plasmodium falciparum malaria prevalence in Africa. Am J Trop Med Hyg. 1999, 61: 109-113.PubMedGoogle Scholar
- Shaukat AM, Breman JG, McKenzie FE: Using the entomological inoculation rate to assess the impact of vector control on malaria parasite transmission and elimination. Malar J. 2010, 9: 122. 10.1186/1475-2875-9-122.PubMed CentralView ArticlePubMedGoogle Scholar
- Kelly-Hope LA, McKenzie FE: The multiplicity of malaria transmission: a review of entomological inoculation rate measurements and methods across sub-Saharan Africa. Malar J. 2009, 8: 19. 10.1186/1475-2875-8-19.PubMed CentralView ArticlePubMedGoogle Scholar
- Hamad AA, Nugud Ael H, Arnot DE, Giha HA, Abdel-Muhsin AM, Satti GM, Theander TG, Creasey AM, Babiker HA, Elnaiem DE: A marked seasonality of malaria transmission in two rural sites in eastern Sudan. Acta Trop. 2002, 83: 71-82. 10.1016/S0001-706X(02)00059-1.View ArticlePubMedGoogle Scholar
- Himeidan YE, Elbashir MI, El-Rayah E, Adam I: Epidemiology of malaria in an irrigated area in the eastern Sudan. East Mediterr Health J. 2005, 11: 499-504.PubMedGoogle Scholar
- Himeidan YE, Hamid EE, Thalib l, Elbashir MI, Adam I: Climatic variables and transmission of falciparum malaria in New Halfa, eastern Sudan. East Mediterr Health J. 2007, 13: 17-24.PubMedGoogle Scholar
- WHO: Manual on Practical Entomology in Malaria. Part II. Methods and Techniques. No. 13. Geneva. 1975Google Scholar
- Gillies MT, De Meillon B: The Anophelinae of Africa south of the Sahara. 1968, Johannesburg: South African Institute for Medical Research PressGoogle Scholar
- Scott JA, Brogdon WG, Collins FH: Identification of single species of the Anopheles gambiae complex by the polymerase chain reaction. Am J Trop Med Hyg. 1993, 49: 520-529.PubMedGoogle Scholar
- Wirtz RA, Burkot TR: Detection of malarial parasites in mosquitoes. Adv Dis Vect Res. 1991, 8: 77-106.View ArticleGoogle Scholar
- Beier JC, Koros JK: Visual assessment of Sporozoite and bloodmeal ELISA samples in malaria field studies. J Med Entomol. 1991, 28: 805-808.View ArticlePubMedGoogle Scholar
- Beier JC, Perkins PV, Wirtz RA, Koros J, Diggs D, Gargan TP, Koech DK: Bloodmeal identification by direct enzyme-linked immunosorbent assay (ELISA), tested on Anopheles (Diptera: Culicidae) in Kenya. J Med Entomol. 1988, 25: 9-16.View ArticlePubMedGoogle Scholar
- Petrarca V, Nugud AD, Ahmad MA, Haridi AM, Di Deco MA, Coluzzi M: Cytogenetics of the Anopheles gambiae complex in Sudan, with special reference to An. arabiensis: relationships with east and West Africa populations. Med Vet Entomol. 2000, 14: 149-164. 10.1046/j.1365-2915.2000.00231.x.View ArticlePubMedGoogle Scholar
- Himeidan YE, Chen H, Chandre F, Donnelly MJ, Yan G: Permethrin and DDT resistance in the malaria vector Anopheles arabiensis from eastern Sudan. Am J Trop Med Hyg. 2007, 77: 1066-1068.PubMedGoogle Scholar
- Robert V: Age grading Anopheles arabiensis: their gorging and surviving responses using a membrane feeding system. Parasite. 1998, 5: 87-90.View ArticlePubMedGoogle Scholar
- Kirby MJ, Lindsay SW: Responses of adult mosquitoes of two sibling species, Anopheles arabiensis and Anopheles gambiae s.s. (Diptera: Culicidae), to high temperatures. Bull Entomol Res. 2004, 94: 441-448.View ArticlePubMedGoogle Scholar
- Sinka ME, Bangs MJ, Manguin S, Coetzee M, Mbogo CM, Hemingway J, Patil AP, Temperley WH, Gething PW, Kabaria CW, Okara RM, Van Boeckel T, Godfray HC, Harbach RE, Hay SI: The dominant Anopheles vectors of human malaria in Africa, Europe and the Middle East: occurrence data, distribution maps and bionomic précis. Parasit Vectors. 2010, 3: 117. 10.1186/1756-3305-3-117.PubMed CentralView ArticlePubMedGoogle Scholar
- Coetzee M, Craig M, le Sueur D: Distribution of African malaria mosquitoes belonging to the Anopheles gambiae complex. Parasitol Today. 2000, 16: 74-77. 10.1016/S0169-4758(99)01563-X.View ArticlePubMedGoogle Scholar
- Muturi EJ, Muriu S, Shililu J, Mwangangi J, Jacob BG, Mbogo C, Githure J, Novak RJ: Effect of rice cultivation on malaria transmission in central Kenya. Am J Trop Med Hyg. 2008, 78: 270-275.PubMedGoogle Scholar
- Himeidan YE, Dukeen MY, El-Rayah E, Adam I: Anopheles arabiensis: abundance and insecticide resistance in an irrigated area of eastern Sudan. East Mediterr Health J. 2009, 10: 167-174.Google Scholar
- Dukeen MY, Omer SM: Ecology of the malaria vector Anopheles arabiensis Patton (Diptera: Culicidae) by the Nile in northern Sudan. Bull Entomol Res. 1986, 76: 451-467. 10.1017/S0007485300014942.View ArticleGoogle Scholar
- El Gaddal AA: The experience of the Blue Nile Health Project in the control of malaria and other water associated diseases. American Association for Advancement of Science. Malaria and development in Africa. A cross-sectoral approach. 1991, Washington DC, AAAS, [http://www.aaas.org/international/africa/malaria91/index.html]Google Scholar
- Hamza AM, Himeidan YE, Adam I, El-Rayah E: The ecology of Anopheles arabiensis and insecticide resistance/susceptibility status in Kassala area, eastern Sudan. Gezira Jounral of Health Sciences. 2005, 1: 46-54.Google Scholar
- Ageep TB, Cox J, Hassan MM, Knols BG, Benedict MQ, Malcolm CA, Babiker A, El Sayed BB: Spatial and temporal distribution of the malaria mosquito Anopheles arabiensis in northern Sudan: influence of environmental factors and implications for vector control. Malar J. 2009, 8: 123. 10.1186/1475-2875-8-123.PubMed CentralView ArticlePubMedGoogle Scholar
- Himeidan YE, El-Rayah El-A: Role of some environmental factors on the breeding activity of Anopheles arabiensis, in New Halfa town, eastern Sudan. East Mediterr Health J. 2008, 14: 252-259.PubMedGoogle Scholar
- Zhou G, Minakawa N, Githeko A, Yan G: Spatial distribution patterns of malaria vectors and sample size determination in spatially heterogeneous environments: a case study in the west Kenyan highland. J Med Entomol. 2004, 41: 1001-1009. 10.1603/0022-2585-41.6.1001.View ArticlePubMedGoogle Scholar
- Sogoba N, Vounatsou P, Bagayoko MM, Doumbia S, Dolo G, Gosoniu L, Traore SF, Toure YT, Smith T: The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali. Geospat Health. 2007, 1: 213-222.View ArticlePubMedGoogle Scholar
- Protopopoff N, Van Bortel W, CSPeybroeck N, Van Geertruyden JP, Baza D, D'Alessandro U, Coosemans M: Ranking malaria risk factors to guide malaria control efforts in African highlands. PLoS One. 2009, 4 (11): e8022. 10.1371/journal.pone.0008022.PubMed CentralView ArticlePubMedGoogle Scholar
- Yousif LE: Immuno-epidemiology of malaria in Rahad River area,eastern Sudan. Athesis submitted for fulfillment of the degree of master of Immunology, Institute of endemic diseases, University of Khartoum, Khartoum, Sudan. 2002Google Scholar
- Nassir E, Abdel-Muhsin AM, Suliaman S, Kenyon F, Kheir A, Geha H, Ferguson HM, Walliker D, Babiker HA: Impact of genetic complexity on longevity and gametocytogenesis of Plasmodium falciparum during the dry and transmission-free season of eastern Sudan. Int J Parasitol. 2005, 35: 49-55. 10.1016/j.ijpara.2004.10.014.View ArticlePubMedGoogle Scholar
- Githeko AK, Brandling-Bennett AD, Beier M, Atieli F, Owaga M, Collins FH: The reservior of Plasmodium falciparum malaria in a holoendemic area of western Kenya. Trans R Soc Trop Med Hyg. 1992, 86: 355-358. 10.1016/0035-9203(92)90216-Y.View ArticlePubMedGoogle Scholar
- Mbogo CM, Mwangangi JM, Nzovu J, Gu W, Yan G, Gunter JT, Swalm C, Keating J, Regens JL, Shililu JI, Githure JI, Beier JC: Spatial and temporal heterogeneity of Anopheles mosquitoes and Plasmodium falciparum transmission along the Kenyan coast. Am J Trop Med Hyg. 2003, 68: 734-742.PubMedGoogle Scholar
- Staedke SG, Nottingham EW, Cox J, Kamya MR, Rosenthal PJ, Dorsey G: Short report: proximity to mosquito breeding sites as a risk factor for clinical malaria episodes in an urban cohort of Ugandan children. Am J Trop Med Hyg. 2003, 69: 244-246.PubMedGoogle Scholar
- Van Der HW, Konradsen F, Amerasinghe PH, Perera D, Piyaratne MK, Amerasinghe FP: Towards a risk map of malaria for Sri Lanka: the importance of house location relative to vector breeding. Int J Epidemiol. 2003, 32: 280-285. 10.1093/ije/dyg055.View ArticleGoogle Scholar
- Oesterholt M, Bousema JT, Mwerinde OK, Harris C, Lushino P, Masokoto A, Mwerinde H, Mosha FW, Drakeley CJ: Spatial and temporal variation in malaria transmission in a low endemicity area in northern Tanzania. Malar J. 2006, 5: 98. 10.1186/1475-2875-5-98.PubMed CentralView ArticlePubMedGoogle Scholar
- Hay SI, Rogers DJ, Toomer JF, Snow RW: Annual Plasmosdium falciparum inoculation rates (EIR) across Africa: literature survey, Internet access and review. Trans R Soc Trop Med Hyg. 2000, 94: 113-127. 10.1016/S0035-9203(00)90246-3.PubMed CentralView ArticlePubMedGoogle Scholar
- El-Sayed B, El-Zaki SE, Babiker H, Gadalla N, Ageep T, Mansour F, Baraka O, Milligan P, Babiker A: A randomized open-label trial of artesunate- sulfadoxine-pyrimethamine with or without primaquine for elimination of sub-microscopic P. falciparum parasitaemia and gametocyte carriage in eastern Sudan. PLoS One. 2007, 2 (12): e1311. 10.1371/journal.pone.0001311.PubMed CentralView ArticlePubMedGoogle Scholar
- Geissbühler Y, Chaki P, Emidi B, Govella NJ, Shirima R, Mayagaya V, Mtasiwa D, Mshinda H, Fillinger U, Lindsay SW, Kannady K, Caldas de Castro M, Tanner M, Killeen GF: Interdependence of domestic malaria prevention measures and mosquito-human interactions in urban Dar es Salaam, Tanzania. Malar J. 2007, 6: 126. 10.1186/1475-2875-6-126.PubMed CentralView ArticlePubMedGoogle Scholar
- Mala AO, Irungu LW, Shililu JI, Muturi EJ, Mbogo CC, Njagi JK, Githure JI: Dry season ecology of Anopheles gambiae complex mosquitoes at larval habitats in two traditionally semi-arid villages in Baringo, Kenya. Parasit Vectors. 2011, 4: 25. 10.1186/1756-3305-4-25.PubMed CentralView ArticlePubMedGoogle Scholar
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 (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.