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Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia

BACKGROUND: Bluetongue (BT) is an important infectious, non-contagious, OIE-listed viral disease of domestic and wild ruminants. The disease is transmitted among susceptible animals by a few species of an insect vector in the genus Culicoides. Recently, during the fall of 2020 (September and October...

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Autores principales: Hassine, Thameur Ben, Sghaier, Soufiène, Thabet, Sarah, Ammar, Héni Haj, Hammami, Salah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculty of Veterinary Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956234/
https://www.ncbi.nlm.nih.gov/pubmed/35342732
http://dx.doi.org/10.5455/OVJ.2022.v12.i1.14
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author Hassine, Thameur Ben
Sghaier, Soufiène
Thabet, Sarah
Ammar, Héni Haj
Hammami, Salah
author_facet Hassine, Thameur Ben
Sghaier, Soufiène
Thabet, Sarah
Ammar, Héni Haj
Hammami, Salah
author_sort Hassine, Thameur Ben
collection PubMed
description BACKGROUND: Bluetongue (BT) is an important infectious, non-contagious, OIE-listed viral disease of domestic and wild ruminants. The disease is transmitted among susceptible animals by a few species of an insect vector in the genus Culicoides. Recently, during the fall of 2020 (September and October), a Bluetongue virus-4 epizootic marked the epidemiological situation in several delegations of Tunisia with clinical cases recorded in sheep and cattle. AIM: Determine the eco-climatic variables most likely associated with delegations reporting BT cases. METHODS: A logistic regression model (LRM) was used to examine which eco-climatic variables were most likely associated with delegations reporting BT cases. RESULTS: Based on the LRM, our findings demonstrated that the key factors contributing significantly to BT cases’ distribution among delegations in Tunisia included day land surface temperatures (DLST), night land surface temperatures (NLST) and normalized difference vegetation index (NDVI). A positive correlation between sheep distribution and rainfall amounts was demonstrated. Statistical analysis focusing on the most affected delegations during the BT epidemic (the Sahel and the Centre of Tunisia) demonstrated that the epidemic situation seems to be a consequence of the combination of the following environmental parameters: NDVI with values ranging between 0.16 and 0.2, moderate rainfall 2–4-fold above the normal (10–50 mm) and DLST values between 32°C and 34°C in September. CONCLUSION: These findings suggest and develop a robust and efficient early warning surveillance program in risk areas based on eco-climatic risk factors.
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spelling pubmed-89562342022-03-26 Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia Hassine, Thameur Ben Sghaier, Soufiène Thabet, Sarah Ammar, Héni Haj Hammami, Salah Open Vet J Original Research BACKGROUND: Bluetongue (BT) is an important infectious, non-contagious, OIE-listed viral disease of domestic and wild ruminants. The disease is transmitted among susceptible animals by a few species of an insect vector in the genus Culicoides. Recently, during the fall of 2020 (September and October), a Bluetongue virus-4 epizootic marked the epidemiological situation in several delegations of Tunisia with clinical cases recorded in sheep and cattle. AIM: Determine the eco-climatic variables most likely associated with delegations reporting BT cases. METHODS: A logistic regression model (LRM) was used to examine which eco-climatic variables were most likely associated with delegations reporting BT cases. RESULTS: Based on the LRM, our findings demonstrated that the key factors contributing significantly to BT cases’ distribution among delegations in Tunisia included day land surface temperatures (DLST), night land surface temperatures (NLST) and normalized difference vegetation index (NDVI). A positive correlation between sheep distribution and rainfall amounts was demonstrated. Statistical analysis focusing on the most affected delegations during the BT epidemic (the Sahel and the Centre of Tunisia) demonstrated that the epidemic situation seems to be a consequence of the combination of the following environmental parameters: NDVI with values ranging between 0.16 and 0.2, moderate rainfall 2–4-fold above the normal (10–50 mm) and DLST values between 32°C and 34°C in September. CONCLUSION: These findings suggest and develop a robust and efficient early warning surveillance program in risk areas based on eco-climatic risk factors. Faculty of Veterinary Medicine 2022 2022-02-15 /pmc/articles/PMC8956234/ /pubmed/35342732 http://dx.doi.org/10.5455/OVJ.2022.v12.i1.14 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License(http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Original Research
Hassine, Thameur Ben
Sghaier, Soufiène
Thabet, Sarah
Ammar, Héni Haj
Hammami, Salah
Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia
title Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia
title_full Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia
title_fullStr Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia
title_full_unstemmed Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia
title_short Role of eco-climatic factors in the distribution of bluetongue in endemic areas in Tunisia
title_sort role of eco-climatic factors in the distribution of bluetongue in endemic areas in tunisia
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956234/
https://www.ncbi.nlm.nih.gov/pubmed/35342732
http://dx.doi.org/10.5455/OVJ.2022.v12.i1.14
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