Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species
Cutaneous Leishmaniasis (CL) is the most prevalent form of Leishmaniasis and is widely endemic in the Americas. Several species of Leishmania are responsible for CL, a severely neglected tropical disease and the treatment of CL vary according to the different species of Leishmania. We proposed to ma...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | One Health |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352771421000975 |
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| author | Soushieta Jagadesh Marine Combe Marine Ginouvès Stéphane Simon Ghislaine Prévot Pierre Couppié Mathieu Nacher Rodolphe Elie Gozlan |
| author_facet | Soushieta Jagadesh Marine Combe Marine Ginouvès Stéphane Simon Ghislaine Prévot Pierre Couppié Mathieu Nacher Rodolphe Elie Gozlan |
| author_sort | Soushieta Jagadesh |
| collection | DOAJ |
| description | Cutaneous Leishmaniasis (CL) is the most prevalent form of Leishmaniasis and is widely endemic in the Americas. Several species of Leishmania are responsible for CL, a severely neglected tropical disease and the treatment of CL vary according to the different species of Leishmania. We proposed to map the distribution of the Leishmania species reported in French Guiana (FG) using a biogeographic approach based on environmental predictors. We also measured species endemism i.e., the uniqueness of species to a defined geographic location. Our results show that the distribution patterns varied between Leishmania spp. and were spatially dependent on climatic covariates. The species distribution modelling of the eco-epidemiological spatial patterns of Leishmania spp. is the first to measure endemism based on bioclimatic factors in FG. The study also emphasizes the impact of tree cover loss and climate on the increasing distribution of L. (Viannia) braziliensis in the most anthropized regions. Detection of high-risk regions for the different between Leishmania spp. is essential for monitoring and active surveillance of the vector. As climate plays a major role in the spatial distribution of the vector and reservoir and the survival of the pathogen, climatic covariates should be included in the analysis and mapping of vector-borne diseases. This study underscores the significance of local land management and the urgency of considering the impact of climate change in the development of vector-borne disease management strategies at the global scale. |
| first_indexed | 2024-12-22T20:35:28Z |
| format | Article |
| id | doaj.art-13a9f433fc074e3686408b6c2e80585a |
| institution | Directory Open Access Journal |
| issn | 2352-7714 |
| language | English |
| last_indexed | 2024-12-22T20:35:28Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | One Health |
| spelling | doaj.art-13a9f433fc074e3686408b6c2e80585a2022-12-21T18:13:28ZengElsevierOne Health2352-77142021-12-0113100307Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania speciesSoushieta Jagadesh0Marine Combe1Marine Ginouvès2Stéphane Simon3Ghislaine Prévot4Pierre Couppié5Mathieu Nacher6Rodolphe Elie Gozlan7Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland; Corresponding author at: ISPM, University of Bern, Switzerland.ISEM, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, FranceEquipe TBIP Tropical Biome and Immunophysiopathology, Université de Guyane, 97300 Cayenne, French Guiana; Centre National de Référence des Leishmanioses - Laboratoire Associé, Centre Hospitalier Andrée Rosemon, 97304 Cayenne Cedex, French Guiana; Centre National de Référence des Leishmanioses - Laboratoire Associé, Centre Hospitalier Andrée Rosemon, 97304 Cayenne Cedex, French GuianaEquipe TBIP Tropical Biome and Immunophysiopathology, Université de Guyane, 97300 Cayenne, French Guiana; Centre National de Référence des Leishmanioses - Laboratoire Associé, Centre Hospitalier Andrée Rosemon, 97304 Cayenne Cedex, French Guiana; Centre National de Référence des Leishmanioses - Laboratoire Associé, Centre Hospitalier Andrée Rosemon, 97304 Cayenne Cedex, French GuianaEquipe TBIP Tropical Biome and Immunophysiopathology, Université de Guyane, 97300 Cayenne, French Guiana; Univ. de Lille, CNRS, Inserm, Institut Pasteur de Lille, U1019-UMR9017-CIIL Centre d'Infection et d'Immunité de Lille, 59000 Lille, FranceEquipe TBIP Tropical Biome and Immunophysiopathology, Université de Guyane, 97300 Cayenne, French Guiana; Univ. de Lille, CNRS, Inserm, Institut Pasteur de Lille, U1019-UMR9017-CIIL Centre d'Infection et d'Immunité de Lille, 59000 Lille, France; Service de Dermatologie, Centre Hospitalier Andrée Rosemon, 97304 Cayenne Cedex, French GuianaEquipe TBIP Tropical Biome and Immunophysiopathology, Université de Guyane, 97300 Cayenne, French Guiana; Univ. de Lille, CNRS, Inserm, Institut Pasteur de Lille, U1019-UMR9017-CIIL Centre d'Infection et d'Immunité de Lille, 59000 Lille, France; Centre d'investigation Clinique (CIC Inserm 1424), Centre hospitalier Andrée Rosemon, 97304 Cayenne Cedex, French GuianaISEM, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, FranceCutaneous Leishmaniasis (CL) is the most prevalent form of Leishmaniasis and is widely endemic in the Americas. Several species of Leishmania are responsible for CL, a severely neglected tropical disease and the treatment of CL vary according to the different species of Leishmania. We proposed to map the distribution of the Leishmania species reported in French Guiana (FG) using a biogeographic approach based on environmental predictors. We also measured species endemism i.e., the uniqueness of species to a defined geographic location. Our results show that the distribution patterns varied between Leishmania spp. and were spatially dependent on climatic covariates. The species distribution modelling of the eco-epidemiological spatial patterns of Leishmania spp. is the first to measure endemism based on bioclimatic factors in FG. The study also emphasizes the impact of tree cover loss and climate on the increasing distribution of L. (Viannia) braziliensis in the most anthropized regions. Detection of high-risk regions for the different between Leishmania spp. is essential for monitoring and active surveillance of the vector. As climate plays a major role in the spatial distribution of the vector and reservoir and the survival of the pathogen, climatic covariates should be included in the analysis and mapping of vector-borne diseases. This study underscores the significance of local land management and the urgency of considering the impact of climate change in the development of vector-borne disease management strategies at the global scale.http://www.sciencedirect.com/science/article/pii/S2352771421000975BiogeographyCutaneous leishmaniasisOne healthStacked species distribution modellingDeforestationZoonosis |
| spellingShingle | Soushieta Jagadesh Marine Combe Marine Ginouvès Stéphane Simon Ghislaine Prévot Pierre Couppié Mathieu Nacher Rodolphe Elie Gozlan Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species One Health Biogeography Cutaneous leishmaniasis One health Stacked species distribution modelling Deforestation Zoonosis |
| title | Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species |
| title_full | Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species |
| title_fullStr | Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species |
| title_full_unstemmed | Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species |
| title_short | Spatial variations in Leishmaniasis: A biogeographic approach to mapping the distribution of Leishmania species |
| title_sort | spatial variations in leishmaniasis a biogeographic approach to mapping the distribution of leishmania species |
| topic | Biogeography Cutaneous leishmaniasis One health Stacked species distribution modelling Deforestation Zoonosis |
| url | http://www.sciencedirect.com/science/article/pii/S2352771421000975 |
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