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Standard Operating Procedure for Lyssavirus Surveillance of the Bat Population in Taiwan
Published on: August 27, 2019
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Distribution of bat-borne viruses and environment patterns
Aneta Afelt1, Audrey Lacroix2, Urszula Zawadzka-Pawlewska3
1Interdisciplinary Center for Mathematical and Computational Modelling, University of Warsaw, Tyniecka 15/17, 02-630 Warsaw, Poland.
Summary
Habitat changes influence wildlife and increase zoonotic disease risk. Bat viruses like coronavirus and astrovirus link to specific environments, with some linked to human-altered landscapes.
Area of Science:
- Ecology
- Virology
- Conservation Biology
Background:
- Environmental changes drive biodiversity loss and habitat disturbance, increasing wildlife-human contact and zoonotic disease emergence.
- Bats are reservoirs for diverse viruses, including coronaviruses and astroviruses, posing potential public health risks.
Purpose of the Study:
- To analyze the relationship between environmental and land-use factors and the presence of bat-associated coronaviruses and astroviruses.
- To understand how habitat transformation influences virus-host associations in bats.
Main Methods:
- Remote spatial data analysis of environmental and land-use characteristics around bat sampling sites.
- Correlation analysis between virus detection (coronavirus and astrovirus) and specific habitat types.
Main Results:
- A significant association was observed between specific bat viruses and their habitats.
- Viruses in synanthropic bats (e.g., Myotis, Scotophilus) were linked to human-altered, transformed habitats.
- Viruses in fruit bats correlated with natural environments, including dense forests, grasslands, and high elevations.
- Group C betacoronaviruses were specifically associated with mosaic habitats in anthropized areas.
Conclusions:
- Bat host genera and their associated viruses exhibit distinct habitat preferences.
- Human-altered landscapes can promote the circulation of specific bat viruses, potentially increasing zoonotic spillover risks.
- Understanding these habitat-virus-host dynamics is crucial for predicting and mitigating zoonotic disease emergence.
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