Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses
| Autor: | Christine K. Johnson, Pranav Pandit, Gaylen Drape, Cristin C. W. Young, Katrina Smart, Megan M. Doyle |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Disease reservoir Science viruses Wildlife General Physics and Astronomy Wild Animals Wild Models Biological complex mixtures Article General Biochemistry Genetics and Molecular Biology Life history theory 03 medical and health sciences Rare Diseases Models Zoonoses 2.1 Biological and endogenous factors 2.2 Factors relating to the physical environment Animals Humans Aetiology lcsh:Science Disease Reservoirs Disease surveillance Multidisciplinary biology Ecology Host (biology) Transmission (medicine) Prevention Flavivirus Outbreak virus diseases General Chemistry biochemical phenomena metabolism and nutrition biology.organism_classification Biological 030104 developmental biology Emerging Infectious Diseases Good Health and Well Being lcsh:Q Infection |
| Zdroj: | Nature communications, vol 9, iss 1 Nature Communications Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018) |
| Popis: | Flaviviruses continue to cause globally relevant epidemics and have emerged or re-emerged in regions that were previously unaffected. Factors determining emergence of flaviviruses and continuing circulation in sylvatic cycles are incompletely understood. Here we identify potential sylvatic reservoirs of flaviviruses and characterize the macro-ecological traits common to known wildlife hosts to predict the risk of sylvatic flavivirus transmission among wildlife and identify regions that could be vulnerable to outbreaks. We evaluate variability in wildlife hosts for zoonotic flaviviruses and find that flaviviruses group together in distinct clusters with similar hosts. Models incorporating ecological and climatic variables as well as life history traits shared by flaviviruses predict new host species with similar host characteristics. The combination of vector distribution data with models for flavivirus hosts allows for prediction of global vulnerability to flaviviruses and provides potential targets for disease surveillance in animals and humans. Flaviviruses have emerged or re-emerged in several regions, but factors underlying emergence are incompletely understood. Here, Pandit et al. identify potential sylvatic reservoirs of flaviviruses and, in combination with vector distribution data, predict regions of global vulnerability. |
| Databáze: | OpenAIRE |
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