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Chanda MM, Purse BV, Sedda L, Benz D, Prasad M, Reddy YN, Yarabolu KR, Byregowda SM, Carpenter S, Prasad G, Rogers DJ. Bluetongue Risk Map for Vaccination and Surveillance Strategies in India. Pathogens 2024; 13:590. [PMID: 39057817 PMCID: PMC11280473 DOI: 10.3390/pathogens13070590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 07/07/2024] [Accepted: 07/13/2024] [Indexed: 07/28/2024] Open
Abstract
Bluetongue virus (BTV, Sedoreoviridae: Orbivirus) causes an economically important disease, namely, bluetongue (BT), in domestic and wild ruminants worldwide. BTV is endemic to South India and has occurred with varying severity every year since the virus was first reported in 1963. BT can cause high morbidity and mortality to sheep flocks in this region, resulting in serious economic losses to subsistence farmers, with impacts on food security. The epidemiology of BTV in South India is complex, characterized by an unusually wide diversity of susceptible ruminant hosts, multiple vector species biting midges (Culicoides spp., Diptera: Ceratopogonidae), which have been implicated in the transmission of BTV and numerous co-circulating virus serotypes and strains. BT presence data (1997-2011) for South India were obtained from multiple sources to develop a presence/absence model for the disease. A non-linear discriminant analysis (NLDA) was carried out using temporal Fourier transformed variables that were remotely sensed as potential predictors of BT distribution. Predictive performance was then characterized using a range of different accuracy statistics (sensitivity, specificity, and Kappa). The top ten variables selected to explain BT distribution were primarily thermal metrics (land surface temperature, i.e., LST, and middle infrared, i.e., MIR) and a measure of plant photosynthetic activity (the Normalized Difference Vegetation Index, i.e., NDVI). A model that used pseudo-absence points, with three presence and absence clusters each, outperformed the model that used only the recorded absence points and showed high correspondence with past BTV outbreaks. The resulting risk maps may be suitable for informing disease managers concerned with vaccination, prevention, and control of BT in high-risk areas and for planning future state-wide vector and virus surveillance activities.
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Affiliation(s)
- Mohammed Mudassar Chanda
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru 560064, India
| | - Bethan V. Purse
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford OX10 8BB, UK;
| | - Luigi Sedda
- Lancaster Ecology and Epidemiology Group, Lancaster Medical School, Lancaster University, Furness Building, Lancaster LA1 4YG, UK;
| | - David Benz
- Department of Biology, University of Oxford, 11A Mansfield Road, Oxford OX1 3SZ, UK; (D.B.); (D.J.R.)
| | - Minakshi Prasad
- National Research Centre on Equines, Sirsa Road, Hisar 125001, India;
| | - Yella Narasimha Reddy
- Department of Animal Biotechnology, P.V. Narsimha Rao Telangana University, Hyderabad 500030, India;
| | - Krishnamohan Reddy Yarabolu
- Vaccine Research Centre-Viral Vaccines, Centre for Animal Health Studies Tamil Nadu Veterinary and Animal Sciences University, Chennai 600051, India;
| | - S. M. Byregowda
- Institute of Animal Health and Veterinary Biological, Bengaluru 560024, India;
| | - Simon Carpenter
- School of the Biological Sciences, 17 Mill Lane, Cambridge CB2 1RX, UK;
| | - Gaya Prasad
- International Institute of Veterinary Education & Research, Rohtak 124001, India;
| | - David John Rogers
- Department of Biology, University of Oxford, 11A Mansfield Road, Oxford OX1 3SZ, UK; (D.B.); (D.J.R.)
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Hadj-Henni L, Millot C, Lehrter V, Augot D. Wing morphometrics of biting midges (Diptera: Culicoides) of veterinary importance in Madagascar. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 114:105494. [PMID: 37640128 DOI: 10.1016/j.meegid.2023.105494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 08/31/2023]
Abstract
Biting midges are vectors of arboviruses such as bluetongue virus, bovine ephemeral fever virus, Akabane virus, African horse sickness virus, epizootic haemorrhagic disease virus and Schmallenberg virus. Fast and accurate identification of biting midges is crucial in the study of Culicoides-borne diseases. Morphological identification of biting midges has revealed the presence of cryptic species. A total of 20 species are reported in Madagascar. In this study, we assessed wing morphometric analysis for identification of seven species namely C. dubitatus Kremer, Rebholtz-Hirtzel and Delécolle, C. enderleini Cornet and Brunhes, C. kibatiensis Goetghebuer, C. miombo Meiswinkel, C. moreli Clastrier, C. nevilli Cornet and Brunhes, and C. zuluensis de Meillon. Culicoides enderleini, C. miombo, C. moreli, C. nevilli and C. zuluensis are vectors diseases. A molecular approach, based on the cytochrome oxidase I gene (Cox1), was used for species delimitation. The molecular analysis presented seven different clades grouped two-by-two according to morphological characters. A total of 179 wing images were digitised. We found morphometric variation among seven species based on 11 landmarks and two outlines. Wing shape variation plots showed that species overlapped with species belonging to the same group. The cross-validation revealed a relatively high percentage of correct classification in most species, ranging from 91.3% to 100% for landmarks; 60% to 82.6% for outlines-1 and 77.1% to 91.3% for outlines-2. Our study suggests that wing geometric morphometric analysis is a robust tool for reliable "Moka Fohy" identification in Madagascar. This inexpensive and simple method is a precise supplement to morphological identification, with reaches the accuracy of Cox1 barcoding.
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Affiliation(s)
- Leila Hadj-Henni
- Usc Vecpar-ANSES LSA, EA 7510, SFR Cap Santé, Université de Reims Champagne-Ardenne, 51 rue Cognacq-Jay, 51096 Reims Cedex, France
| | - Christine Millot
- Usc Vecpar-ANSES LSA, EA 7510, SFR Cap Santé, Université de Reims Champagne-Ardenne, 51 rue Cognacq-Jay, 51096 Reims Cedex, France.
| | - Véronique Lehrter
- Unité BioSpecT, EA7506, Université de Reims Champagne-Ardenne, Reims, France
| | - Denis Augot
- Usc Vecpar-ANSES LSA, EA 7510, SFR Cap Santé, Université de Reims Champagne-Ardenne, 51 rue Cognacq-Jay, 51096 Reims Cedex, France; ANSES, INRAe, ENVA, UMR-BIPAR, Laboratoire de Santé Animale, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort Cedex, France.
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3
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Identifying stable and overlapping habitats for a predator (common leopard) and prey species (Himalayan grey goral & Himalayan grey langur) in northern Pakistan. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2023.e02418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023] Open
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Soliman MM, Al-Khalaf AA, El-Hawagry MSA. Effects of Climatic Change on Potential Distribution of Spogostylum ocyale (Diptera: Bombyliidae) in the Middle East Using Maxent Modelling. INSECTS 2023; 14:120. [PMID: 36835689 PMCID: PMC9960050 DOI: 10.3390/insects14020120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/19/2023] [Accepted: 01/21/2023] [Indexed: 06/18/2023]
Abstract
Spogostylum ocyale (Wiedemann 1828) is a large robust species of bee fly (family Bombyliidae), known to be a larval ectoparasitoid as well as an important flower pollinator as an adult. This species has become extremely rare or has disappeared from many of its historic habitats due to substantial changes in floral and faunal compositions in recent years. Climate change and urbanisation, together with other anthropogenic activities, may be to blame for these changes. Distribution modelling based on environmental variables together with known occurrences is a powerful tool in analytical biology, with applications in ecology, evolution, conservation management, epidemiology and other fields. Based on climatological and topographic data, the current and future distributions of the parasitoid in the Middle East region was predicted using the maximum entropy model (Maxent). The model performance was satisfactory (AUC mean = 0.834; TSS mean = 0.606) and revealed a good potential distribution for S. ocyale featured by the selected factors. A set of seven predictors was chosen from 19 bioclimatic variables and one topographic variable. The results show that the distribution of S. ocyale is mainly affected by the maximum temperature of the warmest period (Bio5) and temperature annual range (Bio7). According to the habitat suitability map, coastal regions with warm summers and cold winters had high to medium suitability. However, future scenarios predict a progressive decline in the extent of suitable habitats with global climate warming. These findings lead to robust conservation management measures in current or future conservation planning.
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Affiliation(s)
- Mustafa M. Soliman
- Department of Entomology, Faculty of Science, Cairo University, Giza 12613, Egypt
| | - Areej A. Al-Khalaf
- Biology Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia
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Gahn MCB, Seck MT, Ciss M, Lo MM, Ndiaye M, Fall M, Biteye B, Sailleau C, Viarouge C, Postic L, Zientara S, Bréard E, Fall AG. Insight on Bluetongue virus transmission in small ruminants in Senegal. Acta Trop 2022; 232:106487. [PMID: 35487295 DOI: 10.1016/j.actatropica.2022.106487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/20/2022] [Accepted: 04/24/2022] [Indexed: 11/28/2022]
Abstract
Bluetongue (BT) is an infectious, arthropod-borne viral disease of domestic and wild ruminants. The disease causes animal mortality, production decrease and commercial limits for herds. Despite the active circulation of the disease in the world, few studies have been carried out in Senegal. The objective of this study was to assess the current prevalence of BT in small ruminants and the serotypes circulating in Senegal. A cross-sectional study was conducted in the fourteen regions of Senegal. After the sampling campaign, sera collected in sheep and goats herds were screened for the presence of Bluetongue virus (BTV) specific antibodies using c-Elisa. The whole blood of seropositive animals was further analyzed by RT-qPCR and positive samples were typed to identify BTV serotypes. Analysis of several risk factors such as age, sex and species of animals was performed using logistic regression. The overall seroprevalence of BTV in Senegal was 72.6% (95% CI: 70.3-74.9%) with 75.9% (95% CI: 72.2-79.5%) in goat and 70.6% (95% CI: 67.5-73.6%) in sheep. Female (prevalence=77.1%) and adult (prevalence=80%) animals showed the highest seropositivity to BTV compared respectively to male (55.7%, p=6.133e-09) and young (49.4%, p < 2.2e-16). The RT-qPCR results showed the presence of BT viral genome in 359 small ruminants. The results obtained from serological and genotyping studies showed an active spread of the Bluetongue virus in domestic ruminants and phylogenetic analysis showed that the BTV-2 is one of the circulating serotypes in Senegal. This study allows having baseline information for controlling Bluetongue in Senegal.
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Affiliation(s)
- Marie Cicille Ba Gahn
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal.
| | - Momar Talla Seck
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal
| | - Mamadou Ciss
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal
| | - Modou Moustapha Lo
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal
| | - Mbengué Ndiaye
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal
| | - Moussa Fall
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal
| | - Biram Biteye
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal
| | - Corinne Sailleau
- UMR Virologie, INRA, Ecole Nationale Vétérinaire d'Alfort, ANSES, Laboratoire de santé animale, Université Paris-Est, Maison Alfort 94700, France
| | - Cyril Viarouge
- UMR Virologie, INRA, Ecole Nationale Vétérinaire d'Alfort, ANSES, Laboratoire de santé animale, Université Paris-Est, Maison Alfort 94700, France
| | - Lydie Postic
- UMR Virologie, INRA, Ecole Nationale Vétérinaire d'Alfort, ANSES, Laboratoire de santé animale, Université Paris-Est, Maison Alfort 94700, France
| | - Stéphan Zientara
- UMR Virologie, INRA, Ecole Nationale Vétérinaire d'Alfort, ANSES, Laboratoire de santé animale, Université Paris-Est, Maison Alfort 94700, France
| | - Emmanuel Bréard
- UMR Virologie, INRA, Ecole Nationale Vétérinaire d'Alfort, ANSES, Laboratoire de santé animale, Université Paris-Est, Maison Alfort 94700, France
| | - Assane Gueye Fall
- Laboratoire National de l'Elevage et de Recherches Vétérinaires (ISRA-LNERV), Institut Sénégalais de Recherches Agricoles, BP: 2057 Dakar-Hann, Sénégal.
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Identifying the habitat suitability and built-in corridors for Asiatic black bear (Ursus thibetanus) movement in the northern highlands of Pakistan. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2021.101532] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Predicting the possibility of African horse sickness (AHS) introduction into China using spatial risk analysis and habitat connectivity of Culicoides. Sci Rep 2022; 12:3910. [PMID: 35273211 PMCID: PMC8913660 DOI: 10.1038/s41598-022-07512-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 02/14/2022] [Indexed: 12/04/2022] Open
Abstract
African horse sickness (AHS) is a devastating equine infectious disease. On 17 March 2020, it first appeared in Thailand and threatened all the South-East Asia equine industry security. Therefore, it is imperative to carry out risk warnings of the AHS in China. The maximum entropy algorithm was used to model AHS and Culicoides separately by using climate and non-climate variables. The least cost path (LCP) method was used to analyze the habitat connectivity of Culicoides with the reclassified land cover and altitude as cost factors. The models showed the mean area under the curve as 0.918 and 0.964 for AHS and Culicoides. The prediction result map shows that there is a high risk area in the southern part of China while the habitats of the Culicoides are connected to each other. Therefore, the risk of introducing AHS into China is high and control of the border area should be strengthened immediately.
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Mahmoud MM, Younes AA, El-Sherif HA, Gawish FA, Habib MR, Kamel M. Predicting the habitat suitability of Schistosoma intermediate host Bulinus truncatus, its predatory aquatic insect Odonata nymph, and the associated aquatic plant Ceratophyllum demersum using MaxEnt. Parasitol Res 2022; 121:205-216. [PMID: 34981215 DOI: 10.1007/s00436-021-07392-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 11/19/2021] [Indexed: 11/30/2022]
Abstract
Schistosomiasis is one of the most important parasitic diseases in tropical and subtropical areas. Its prevalence is associated with the distribution of freshwater snails, which are their intermediate hosts. Thus, control of freshwater snails is the solution to reduce the transmission of this disease. This will be achieved by understanding the relationship between the snails and their habitats including natural enemies and associated aquatic plants as well as the factors affecting their distribution. In this study, Maximum Entropy model (MaxEnt) was used for mapping and predicting the possible geographic distribution of Bulinus truncatus snail (the intermediate host of Schistosoma haematobium), Odonata nymph (predatory aquatic insect), and Ceratophyllum demersum (the associated aquatic plant) in Egypt based on topographic and climatic factors. The models of the investigated species were evaluated using the area under receiver operating characteristic curve. The results showed that the potential risk areas were along the banks of the Nile River and its irrigation canals. In addition, the MaxEnt models revealed some similarities in the distribution pattern of the vector, the predator, and the aquatic plant. It is obvious that the predictive distribution range of B. truncatus was affected by altitude, precipitation seasonality, isothermality, and mean temperature of warmest quarter. The presence of B. truncatus decreases with the increase of altitude and precipitation seasonality values. It could be concluded that the MaxEnt model could help introducing a predictive risk map for Schistosoma haematobium prevalence and performing better management strategies for schistosomiasis.
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Affiliation(s)
- Marwa M Mahmoud
- Department of Entomology, Faculty of Science, Cairo University, Giza, Egypt. .,Department of Medical Malacology, Theodor Bilharz Research Institute, Giza, Egypt.
| | - Aly A Younes
- Department of Entomology, Faculty of Science, Cairo University, Giza, Egypt
| | - Hanaa A El-Sherif
- Department of Entomology, Faculty of Science, Cairo University, Giza, Egypt
| | - Fathia A Gawish
- Department of Medical Malacology, Theodor Bilharz Research Institute, Giza, Egypt
| | - Mohamed R Habib
- Department of Medical Malacology, Theodor Bilharz Research Institute, Giza, Egypt
| | - Mohamed Kamel
- Department of Environmental Basic Sciences, Institute of Environmental Studies and Research, Ain Shams University, Cairo, Egypt
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Thameur BH, Soufiène S, Haj Ammar H, Hammami S. Spatial distribution and habitat selection of culicoides imicola: The potential vector of bluetongue virus in Tunisia. Onderstepoort J Vet Res 2021; 88:e1-e9. [PMID: 34476951 PMCID: PMC8424768 DOI: 10.4102/ojvr.v88i1.1861] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 12/24/2020] [Accepted: 12/09/2020] [Indexed: 11/28/2022] Open
Abstract
The increasing threat of vector-borne diseases (VBDs) represents a great challenge to those who manage public and animal health. Determining the spatial distribution of arthropod vector species is an essential step in studying the risk of transmission of a vector-borne pathogen (VBP) and in estimating risk levels of VBD. Risk maps allow better targeting surveillance and help in designing control measures. We aimed to study the geographical distribution of Culicoides imicola, the main competent vector of Bluetongue virus (BTV) in sheep in Tunisia. Fifty-three records covering the whole distribution range of C.imicola in Tunisia were obtained during a 2-year field entomological survey (August 2017 – January 2018 and August 2018 – January 2019). The ecological niche of C. imicola is described using ecological-niche factor analysis (ENFA) and Mahalanobis distances factor analysis (MADIFA). An environmental suitability map (ESM) was developed by MaxEnt software to map the optimal habitat under the current climate background. The MaxEnt model was highly accurate with a statistically significant area under curve (AUC) value of 0.941. The location of the potential distribution of C. imicola is predicted in specified regions of Tunisia. Our findings can be applied in various ways such as surveillance and control program of BTV in Tunisia.
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Affiliation(s)
- Ben H Thameur
- Ministry of Agriculture of Tunisia, General Directorate of Veterinary Services, CRDA Nabeul.
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Gahn MCB, Niakh F, Ciss M, Seck I, Lo MM, Fall AG, Biteye B, Fall M, Ndiaye M, Ba A, Seck MT, Sall B, Lo M, Faye C, Squarzoni-Diaw C, Ka A, Amevoin Y, Apolloni A. Assessing the Risk of Occurrence of Bluetongue in Senegal. Microorganisms 2020; 8:E1766. [PMID: 33187059 PMCID: PMC7697801 DOI: 10.3390/microorganisms8111766] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/10/2020] [Accepted: 09/10/2020] [Indexed: 11/16/2022] Open
Abstract
Bluetongue is a non-contagious viral disease affecting small ruminants and cattle that can cause severe economic losses in the livestock sector. The virus is transmitted by certain species of the genus Culicoides and consequently, understanding their distribution is essential to enable the identification of high-risk transmission areas. In this work we use bioclimatic and environmental variables to predict vector abundance, and estimate spatial variations in the basic reproductive ratio R0. The resulting estimates were combined with livestock mobility and serological data to assess the risk of Bluetongue outbreaks in Senegal. The results show an increasing abundance of C. imicola, C. oxystoma, C. enderleini, and C. miombo from north to south. R0 < 1 for most areas of Senegal, whilst southern (Casamance) and southeastern (Kedougou and part of Tambacounda) agro-pastoral areas have the highest risk of outbreak (R0 = 2.7 and 2.9, respectively). The next higher risk areas are in the Senegal River Valley (R0 = 1.07), and the Atlantic coast zones. Seroprevalence rates, shown by cELISA, weren't positively correlated with outbreak probability. Future works should include follow-up studies of competent vector abundancies and serological surveys based on the results of the risk analysis conducted here to optimize the national epidemiological surveillance system.
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Affiliation(s)
- Marie Cicille Ba Gahn
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Fallou Niakh
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
- ASTRE, Univ Montpellier, CIRAD, INRAE, F-34398 Montpellier, France;
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, F-34398 Montpellier, France
- École Nationale de la Statistique et de l’Administration Économique, 91764 Palaiseau CEDEX, France
| | - Mamadou Ciss
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Ismaila Seck
- FAO, ECTAD Regional Office for Africa, 2 Gamel Abdul Nasser Road, P.O. Box GP 1628, Accra, Ghana;
- Direction des Services Vétérinaires, Dakar 45677, Senegal; (B.S.); (M.L.); (C.F.)
| | - Modou Moustapha Lo
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Assane Gueye Fall
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Biram Biteye
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Moussa Fall
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Mbengué Ndiaye
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Aminata Ba
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Momar Talla Seck
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
| | - Baba Sall
- Direction des Services Vétérinaires, Dakar 45677, Senegal; (B.S.); (M.L.); (C.F.)
| | - Mbargou Lo
- Direction des Services Vétérinaires, Dakar 45677, Senegal; (B.S.); (M.L.); (C.F.)
| | - Coumba Faye
- Direction des Services Vétérinaires, Dakar 45677, Senegal; (B.S.); (M.L.); (C.F.)
| | - Cécile Squarzoni-Diaw
- ASTRE, Univ Montpellier, CIRAD, INRAE, F-34398 Montpellier, France;
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, F-34398 Montpellier, France
- CIRAD, UMR ASTRE, F-97491 Ste-Clotilde, La Reunion, France
| | - Alioune Ka
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
- ASTRE, Univ Montpellier, CIRAD, INRAE, F-34398 Montpellier, France;
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, F-34398 Montpellier, France
| | - Yves Amevoin
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
- ASTRE, Univ Montpellier, CIRAD, INRAE, F-34398 Montpellier, France;
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, F-34398 Montpellier, France
| | - Andrea Apolloni
- Institut Sénégalais de Recherches Agricoles, Laboratoire National de l’Elevage et de Recherches Vétérinaires (ISRA-LNERV), Dakar-Hann BP 2057, Senegal; (M.C.B.G.); (F.N.); (M.C.); (M.M.L.); (A.G.F.); (B.B.); (M.F.); (M.N.); (A.B.); (M.T.S.); (A.K.); (Y.A.)
- ASTRE, Univ Montpellier, CIRAD, INRAE, F-34398 Montpellier, France;
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, F-34398 Montpellier, France
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11
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Altamiranda-Saavedra M, Osorio-Olvera L, Yáñez-Arenas C, Marín-Ortiz JC, Parra-Henao G. Geographic abundance patterns explained by niche centrality hypothesis in two Chagas disease vectors in Latin America. PLoS One 2020; 15:e0241710. [PMID: 33147272 PMCID: PMC7641389 DOI: 10.1371/journal.pone.0241710] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 10/19/2020] [Indexed: 11/18/2022] Open
Abstract
Ecoepidemiological scenarios for Chagas disease transmission are complex, so vector control measures to decrease human–vector contact and prevent infection transmission are difficult to implement in all geographic contexts. This study assessed the geographic abundance patterns of two vector species of Chagas disease: Triatoma maculata (Erichson, 1848) and Rhodnius pallescens (Barber, 1932) in Latin America. We modeled their potential distribution using the maximum entropy algorithm implemented in Maxent and calculated distances to their niche centroid by fitting a minimum-volume ellipsoid. In addition, to determine which method would accurately explain geographic abundance patterns, we compared the correlation between population abundance and the distance to the ecological niche centroid (DNC) and between population abundance and Maxent environmental suitability. The potential distribution estimated for T. maculata showed that environmental suitability covers a large area, from Panama to Northern Brazil. R. pallescens showed a more restricted potential distribution, with environmental suitability covering mostly the coastal zone of Costa Rica and some areas in Nicaragua, Honduras, Belize and the Yucatán Peninsula in Mexico, northern Colombia, Acre, and Rondônia states in Brazil, as well as a small region of the western Brazilian Amazon. We found a negative slope in the relationship between population abundance and the DNC in both species. R. pallecens has a more extensive potential latitudinal range than previously reported, and the distribution model for T. maculata corroborates previous studies. In addition, population abundance increases according to the niche centroid proximity, indicating that population abundance is limited by the set of scenopoetic variables at coarser scales (non-interactive variables) used to determine the ecological niche. These findings might be used by public health agencies in Latin America to implement actions and support programs for disease prevention and vector control, identifying areas in which to expand entomological surveillance and maintain chemical control, in order to decrease human–vector contact.
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Affiliation(s)
- Mariano Altamiranda-Saavedra
- Centro de Investigación en Salud para el Trópico (CIST), Universidad Cooperativa de Colombia, Santa Marta, Colombia
- Politécnico Colombiano Jaime Isaza Cadavid, Medellín, Antioquia, Colombia
- * E-mail:
| | - Luis Osorio-Olvera
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, United States of America
| | - Carlos Yáñez-Arenas
- Laboratorio de Ecología Geográfica, Unidad de Conservación de la Biodiversidad, UMDI-Sisal, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Juan Carlos Marín-Ortiz
- Departamento de Ciencias Agrarias, Universidad Nacional de Colombia, Facultad de Ciencias Agrarias, Medellín, Colombia
| | - Gabriel Parra-Henao
- Centro de Investigación en Salud para el Trópico (CIST), Universidad Cooperativa de Colombia, Santa Marta, Colombia
- National Health Institute (Instituto Nacional de Salud), Bogotá, Colombia
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