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Parasites & Vectors

Open Access

Geo-statistical analysis of Culicoides spp. distribution and abundance in Sicily, Italy

  • Valeria Blanda1,
  • Marcellocalogero Blanda1,
  • Francesco La Russa1,
  • Rossella Scimeca1,
  • Salvatore Scimeca1,
  • Rosalia D’Agostino1,
  • Michelangelo Auteri1 and
  • Alessandra Torina1Email authorView ORCID ID profile
Contributed equally
Parasites & Vectors201811:78

https://doi.org/10.1186/s13071-018-2658-2

Received: 25 May 2017

Accepted: 18 January 2018

Published: 1 February 2018

Abstract

Background

Biting midges belonging to Culicoides imicola, Culicoides obsoletus complex and Culicoides pulicaris complex (Diptera: Ceratopogonidae) are increasingly implicated as vectors of bluetongue virus in Palaearctic regions. Culicoides obsoletus complex includes C. obsoletus (sensu stricto), C. scoticus, C. dewulfi and C. chiopterus. Culicoides pulicaris and C. lupicaris belong to the Culicoides pulicaris complex. The aim of this study was a geo-statistical analysis of the abundance and spatial distribution of Culicoides spp. involved in bluetongue virus transmission. As part of the national bluetongue surveillance plan 7081 catches were collected in 897 Sicilian farms from 2000 to 2013.

Methods

Onderstepoort-type blacklight traps were used for sample collection and each catch was analysed for the presence of Culicoides spp. and for the presence and abundance of Culicoides vector species (C. imicola, C. pulicaris / C. obsoletus complexes). A geo-statistical analysis was carried out monthly via the interpolation of measured values based on the Inverse Distance Weighted method, using a GIS tool. Raster maps were reclassified into seven classes according to the presence and abundance of Culicoides, in order to obtain suitable maps for Map Algebra operations.

Results

Sicilian provinces showing a very high abundance of Culicoides vector species were Messina (80% of the whole area), Palermo (20%) and Catania (12%). A total of 5654 farms fell within the very high risk area for bluetongue (21% of the 26,676 farms active in Sicily); of these, 3483 farms were in Messina, 1567 in Palermo and 604 in Catania. Culicoides imicola was prevalent in Palermo, C. pulicaris in Messina and C. obsoletus complex was very abundant over the whole island with the highest abundance value in Messina.

Conclusions

Our study reports the results of a geo-statistical analysis concerning the abundance and spatial distribution of Culicoides spp. in Sicily throughout the fourteen year study. It provides useful decision support in the field of epidemiology, allowing the identification of areas to be monitored as bases for improved surveillance plans. Moreover, this knowledge can become a tool for the evaluation of virus transmission risks, especially if related to vector competence.

Keywords

Culicoides C. imicola C. obsoletus complex C. pulicaris AbundanceGISInverse distance weighted methodSicilyItaly

Background

Culicoides biting midges (Diptera: Ceratopogonidae) are small hematophagous insects widely spread through different geographical areas, from America to Europe, Asia and Oceania [1]. Breeding sites for Culicoides include a wide range of habitats often located nearby their hosts, in and around farm holdings, such as decaying vegetation, dung, pond borders and moist soils. Furthermore, their larvae can survive within aquatic sites characterized by different ranges of acidity and salinity [2]. Blood-feeding is required for egg production by females, which bite hosts such as amphibians, birds and mammals including humans and domestic animals [3].

Different species included in the genus Culicoides are of veterinary importance as vectors of different arboviruses causing severe animal diseases. Bluetongue virus (BTV) and African horse sickness virus (AHSV), listed as causative agents of globally important diseases by the OIE (Office International des Epizooties), are transmitted by Culicoides species [3]. Moreover, the species of the Culicoides obsoletus complex have been recently considered the potential vectors of the Schmallenberg virus (SVB), a virus that was not previously detected in Europe [4]. Culicoides spp. can also transmit filarial diseases such as onchocercosis and mansonellosis, affecting various species including humans [3, 5].

Concerning BTV infection, just about 30 Culicoides species have fulfilled the criteria required to be considered as BTV vectors, due to a series of barrier systems preventing virus replication within the biting midges. Recognized BTV vectors include C. imicola (the main vector in Africa, the Middle East, Southeast Asia and areas of southern Europe), C. sonorensis (the main vector in North America) and C. brevitarsis (the main vector in Australia) [6]. Wind-borne transportation of Culicoides or accidental importation of infected hosts can contribute to BTV entry in novel areas [7]. Spreading of species such as Culicoides imicola was possibly favoured by ongoing climate changes, allowing its diffusion in northern Europe as well as an increase of the seasonal activity period, vector density and virus infections susceptibility [8].

In Europe, BTV vectors belong to three main species or species complexes [9]. Species within the Culicoides obsoletus complex, i.e. Culicoides obsoletus (sensu stricto), Culicoides scoticus, Culicoides dewulfi and Culicoides chiopterus, are putative BTV vectors in northern and central Europe [10, 11]. Other relevant BTV vector species belong to the Culicoides pulicaris complex [12]. Finally, Culicoides imicola is the most important vector in the Mediterranean basin and it may have a role in northern Europe [12]. Within the Mediterrean, Sicily (Italy) has geographical and climatic features particularly suitable for introduction and spread of Culicoides vectors. Sicily has a typical Mediterranean climate, with mild winters, warm autumns/springs and hot summers; however, temperatures can vary among areas depending on the distance from the sea and the presence of mountains.

Studies on the abundance and distribution of Culicoides species involved in vector-borne diseases are essential to define infection risk areas, as well as to identify possible local factors favouring the diffusion of Culicoides and associated pathogens. For such purposes, geographical information system (GIS) technologies have become useful tools for disease mapping, ecological analyses, prediction of parasite occurrence/seasonality and surveillance of parasitic diseases [13]. Thus, GIS technology is increasingly used to carry out a systematic analysis of spatial distribution of vectors and related diseases, usable for the development of effective countermeasures against arthropod-borne diseases.

Our study was focused on a geo-statistical analysis of the abundance and spatial distribution of Culicoides involved in the bluetongue virus transmission, elaborating data obtained from a long monitoring period (2000–2013) in Sicily. Our results will be of importance for improving current surveillance plans in Sicily and may represent a basis for a systematic use of GIS in Culicoides-trasmitted disease risk analysis.

Methods

Vector monitoring

Farms included in our study were part of the National Entomologic Surveillance Program for Bluetongue under the supervision of the Italian Ministry of Health, and thus they were chosen in order to cover the entire territory of Sicily ensuring as much as possible a uniform distribution throughout the different provinces, as well as in consideration of ecological factors (e.g. altitude, distance from the sea, vegetation). From 2000 to 2013, 7081 catches have been collected in 897 farms distributed in Sicily (Fig. 1). Catches were collected in cattle, sheep and goat farms through the use of Onderstepoort-type blacklight suction traps [14]. In addition to mobile traps, stationary traps were also placed in each of the different Sicilian provinces (Agrigento, Caltanissetta, Catania, Enna, Messina, Palermo, Ragusa, Siracusa and Trapani). This standardized trap type is commonly used in monitoring and surveillance programs, since it is very efficient compared to other suction light traps [15]. Traps were hung at a height of 1.5 m above the ground; the distance from stables and paddocks with cattle and sheep was less than 20 m and traps were activated from sunset (07:00 pm) to sunrise (08:00 am). For each farm, traps were activated once a week (4 nights per month).
Fig. 1

Location of farms. The farms were located using geographical coordinates measured on the field with GPS and reported on a digital elevation model. The digital elevation model was processed through the interpolation of level curve values of the Sicilian region

The insects, attracted by the UV light, were sucked into plastic containers containing 200–300 ml of water in which a few drops of detergent were added to reduce surface tension. Collected insects were then placed in vials filled with 70% ethanol.

Culicoides spp. were first separated from other insects under a stereomicroscope. Afterwards, Culicoides species/complexes were identified by the characteristic wing patterns and spots [1618]. In particular, regarding the species most involved in pathogen transmission, C. imicola specimens were recorded from 2000 to 2013, while the occurrence of species belonging to the C. obsoletus and C. pulicaris complexes was analysed from 2005 to 2013.

Spatial analysis

Results were recorded in a database and the monthly average abundance was calculated for each farm. The monthly average was chosen as a reliable parameter for estimating Culicoides abundance, since it may vary in the Sicilian territories throughout a month, in a negative or positive way due to transitory adverse or favourable weather conditions. For every month, a geo-statistical analysis via a GIS tool was performed by interpolating measured values with the IDW (inverse distance weighted) method, one of the most important tools in GIS-based spatial interpolation. The IDW method was used for data analysis considering its easy implementation and its suitability to the characteristics of our data, compared to other interpolation methods. This methodology allowed the estimation of values in unsampled points focusing on the basic assumption that values in unsampled points are the weighted average of values in nearby sampled points. Weights are elaborated as the inverse squares of distances. The final objective of IDW analysis is the creation of a smooth surface where values in unsampled points are more similar to nearby points than distant points [19].

In detail, 12 monthly maps were processed for each species. Once processed, each raster map was reclassified into 7 classes in relation to Culicoides presence and abundance (0, absent to 6, very high), giving a score for each class to each pixel of the image. The abundance classes were the same for each month and for each Culicoides species, and they were defined using the same threshold values.

The 12 monthly maps were drawn from IDW maps for each of the three Culicoides species or complex of species considered as the most important bluetongue virus vectors. Areas with cells showing the highest values represent the ones with high levels of Culicoides. The reclassification allowed us to draw comparable maps that permit Map Algebra operations, such as summation (Fig. 2).
Fig. 2

Algebra map (sum of raster). Using the algebra map, the sum ​​of the pixel values ​​from the reclassified raster images was used to develop distribution and abundance maps of Culicoides species

Through the sum of the monthly maps, it was possible to draw up a map of abundance for each of the three Culicoides species/complexes (C. imicola, C. pulicaris and C. obsoletus). Such maps were further processed to produce a general map comprehensive of all the three species, from which a final map reporting abundance classes in all the Sicilian provinces was elaborated with the evidence of municipalities at risk.

Results

Results of the monitoring carried out from 2000 to 2013, with a particular attention to the Culicoides species/complexes most involved in the bluetongue virus transmission (C. imicola, C. pulicaris and C. obsoletus), are reported in Table 1. In addition, the following other Culicoides species were recorded: C. agathensis, C. cataneii, C. circumscriptus, C. fagineus, C. fascipennis, C. festivipennis, C. gejgelensis, C. heteroclitus, C. kijng, C. monoculicoides, C. newsteadi, C. nubeculosis, C. paulae, C. pictipennis, C. punctatus, C. puncticollis, C. schultzei, C. stigma, C. subfascipennis and C. tauricus (data not shown).
Table 1

Abundance of Culicoides spp., C. imicola, C. obsoletus complex and C. pulicaris complex based on 7081 catches during 2000–2013

 

No. of specimens

Monitoring period

Insects

4,815,500

2000–2013

Culicoides spp.

954,776

2000–2013

C. imicola

78,278

2000–2013

C. obsoletus complex

265,575

2005–2013

C. pulicaris complex

9099

2005–2013

Maps for C. imicola, C. obsoletus complex and C. pulicaris complex showed their different spatial distributions (Figs. 3-6). Culicoides imicola was widespread in Palermo province, followed by Siracusa and Trapani provinces. This species was less abundant in the southern part of the island, in Agrigento and Caltanissetta provinces (Fig. 3). Culicoides pulicaris complex was mainly found in Messina province and in the eastern area of Palermo province, whilst it was scarcely present in some areas of Trapani, Palermo and Ragusa provinces (Fig. 4). Culicoides obsoletus complex was especially abundant within the territory of Messina province, while it was less abundant in some areas of Trapani, Catania and Ragusa provinces (Fig. 5). The general map including the three Culicoides species/complexes showed that they were present in the whole of Sicily, with the highest levels in Messina province, followed by the eastern part of Palermo province and the northern area of Catania province. The lowest levels were found in Ragusa province (Fig. 6).
Fig. 3

Culicoides imicola distribution and abundance map. The map was created using the Esri ArcMap 9.3 software. Abbreviations: AG, Agrigento; CL, Caltanissetta; CT, Catania; EN, Enna; ME, Messina; PA, Palermo; RG, Ragusa; SR, Siracusa; TP, Trapani

Fig. 4

Culicoides pulicaris complex distribution and abundance map. The map was created using the Esri ArcMap 9.3 software. Abbreviations: AG, Agrigento; CL, Caltanissetta; CT, Catania; EN, Enna; ME, Messina; PA, Palermo; RG, Ragusa; SR, Siracusa; TP, Trapani

Fig. 5

Culicoides obsoletus complex distribution and abundance map. The map was created using the Esri ArcMap 9.3 software. Abbreviations: AG, Agrigento; CL, Caltanissetta; CT, Catania; EN, Enna; ME, Messina; PA, Palermo; RG, Ragusa; SR, Siracusa; TP, Trapani

Fig. 6

Distribution and abundance map of all the three Culicoides species/complexes. The map was created using the Esri ArcMap 9.3 software. Abbreviations: AG, Agrigento; CL, Caltanissetta; CT, Catania; EN, Enna; ME, Messina; PA, Palermo; RG, Ragusa; SR, Siracusa; TP, Trapani

The final map reporting the abundance classes for the three species/complexes (Fig. 7) highlighted that the Sicilian provinces fell into three classes (medium, high and very high abundance). The percentage of land falling in the different classes for each province (Table 2) showed that provinces at very high-risk are Messina (80%), Palermo (20%) and Catania (12%), while a medium risk levels could be noticed in Ragusa. The number of farms (ovine and bovine) that fell within the very high risk area was 5654, corresponding to 21% of the 26,676 farms active in Sicily; of these, 3483 farms fell in Messina province, 1567 in Palermo province and 604 in Catania province.
Fig. 7

Abundance map of all the three Culicoides species/complexes with evidence of municipalities at risk. The map shows the areas and the municipalities with medium, high and very high Culicoides abundance and allows calculation of the percentage of the territories of each province. Abbreviations: AG, Agrigento; CL, Caltanissetta; CT, Catania; EN, Enna; ME, Messina; PA, Palermo; RG, Ragusa; SR, Siracusa; TP, Trapani

Table 2

Percentages of areas with different Culicoides abundance in Sicilian provinces

Province

Medium

High

Very high

Trapani

76

24

Palermo

31

49

20

Messina

1

19

80

Agrigento

88

12

Caltanissetta

63

37

Enna

80

20

Catania

47

41

12

Ragusa

100

Siracusa

52

48

Discussion

Our work reports the results of a geo-statistical approach applied to the study of the abundance of some relevant Culicoides vector species, analysing a significant number of catches distributed all over the seasons during 14 years. Our approach allows integration of the field data with the ones resulting from the GIS-based IDW method, permitting the elaboration of comprehensive maps including areas where no measurements were available.

As reported, Culicoides spp. are spread all over Sicilian territories, with C. imicola particularly abundant in Palermo, and C. pulicaris complex and C. obsoletus complex being particularly abundant in Messina. Considering all the three species together (Fig. 7), Culicoides are particularly abundant in Messina province and less abundant in Ragusa territories.

Several factors may influence the spread of Culicoides spp., including both biotic (e.g. vegetation, human presence, other animal presence) and abiotic (light, soil, water, air, climatic factors etc.) factors as well as other factors that can vary in terms of macrohabitat or microhabitat. All of these factors are implicated in producing substantial differences in the presence and abundance of Culicoides spp., and local variations occur also at short distance. As an example, C. imicola, is widely distributed across the world, from South Africa to the Mediterranean basin and the Middle and Far East [20]. There are, however, areas with either low abundance or even completely free of C. imicola [14], underlining a patchy distribution of this species. Other studies have confirmed that the spatial distribution of Culicoides spp. could be influenced both by different climatic zones [21] as well as by local factors, such as flock management systems. Influence of seasonal and metereological parameters on Culicoides activity was also investigated [2225] and other studies reported risk maps obtained via the analysis of habitat characteristics [2628]. As an example, an association between the bluetongue disease diffusion and some landscape metrics, such as woodland and open prairies, was revealed [29].

Accordingly, even in our study we observed an irregular distribution of Culicoides abundance in Sicily that could also be explained by a possible correlation to specific biotic or abiotic factors in the different provinces. For instance, the high number of farms falling in high risk territories in Messina province could be explained by the farm type, mostly represented by family-owned farms with a small number of animals. Conversely, in Catania province industrial farms with a great number of animals are common. Other factors could influence the distribution pattern of Culicoides in Sicily, including different vegetation, animal presence and microclimatic factors such as altitude, temperature and precipitation. In this study, we provided a picture of Culicoides presence in the Sicilian territories; we related the risk for Culicoides-transmitted diseases with the Culicoides abundance in the different provinces. However, several facets of the data can be further examined and developed, as indeed the correlation with environmental factors and seasonality, which would be our future perspectives of analysis. At present, we have provided an overview about the annual overall abundance of each species, reporting maps obtained by the sum of monthly maps. However, in the perspective of seasonality studies, the specific abundance values within each season/month could be used for correlation with seasonal/monthly environmental parameters. In this view, the implementation of modelling analysis would provide a useful tool to enhance data analysis and to uncover the multiform facets connecting entomological field data to environmental factors, population dynamics, and pathogen diffusion.

The significance of the maps we obtained should also be evaluated in relation to the vector competence of a species towards a pathogen. In Sicily, for example, the bluetongue outbreaks that occurred from 2000 to 2013 severely affected Trapani province, as well as the western part of Palermo province. These occurrences can be explained analysing the map of C. imicola that is a very competent vector of bluetongue virus (Fig. 3). Similarly, to evaluate the risk of Schmallenberg virus spreading, the map reporting C. obsoletus complex distribution has to be considered.

However, the transmission of the same pathogen may be due to several Culicoides species with different vector competence. Thus, correction factors relative to the competence of a Culicoides species towards the examined pathogen should be considered for map elaboration. However, studies on vector competence are complex, requiring highly specialized laboratories, pathogen availability and laboratory colonies of the vector. Nevertheless, for some vectors and pathogens, this information is available. For example, a study conducted on vector competence of C. sonorensis [30] showed that this species has a competence of 32% towards epizootic hemorragic disease virus and this information certainly allows a precise assessment of the disease risk correlated to this species. Studies providing novel data on competence for the other Culicoides species involved in pathogen transmission could lead to the elaboration of improved maps that better define the risk for Culicoides-related diseases.

Conclusions

In conclusion, this study uses a GIS-based geo-statistical approach to perform a comprehensive analysis of abundance and spatial distribution of Culicoides spp. most involved in virus transmission. We reported data derived from a long time surveillance period (2000–2013). Our study confirmed the high abundance of Culicoides species in Sicily, underlining the presence of C. imicola in Palermo province and of C. pulicaris complex and C. obsoletus complex in Messina province. The analysis provides a useful tool for decision support in the field of epidemiology, allowing the identification of areas to focus on for surveillance purposes. Indeed, the data showed the presence of medium- to high-risk areas in the whole Sicily and of a particularly high-risk area in Messina province. Moreover, if related to vector competence, these data can become an instrument for the prevention of pathogen transmission risks.

Declarations

Acknowledgements

We would like to thank Pippo Bono, Gaspare Lo Bue and Nicola Galati (Istituto Zooprofilattico Sperimentale della Sicilia, Palermo, Sicily, Italy) for technical assistance and their contribution in the realization of the catches.

Funding

The project was funded by Italian Ministry of Health (Project RC IZS SI 01/13).

Availability of data and materials

All data generated or analysed during this study are included in this published article. The raw datasets generated and/or analysed during the current study are available from the corresponding author upon reasonable request.

Authors’ contributions

VB created and filled the data base for data analysis and wrote the paper. MB elaborated the maps and performed the spatial analysis by IDW (Inverse Distance Weighted) method. MA carried out data analysis. FLR, RS, SS and RDA carried out morphological Culicoides spp. identification. AT organized monitoring activities and project plan. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Istituto Zooprofilattico Sperimentale della Sicilia “A. Mirri”, Palermo, Italy

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Copyright

© The Author(s). 2018

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