Mammals, wildlife trade, and the next global pandemic
Data files
Apr 16, 2021 version files 51.39 MB
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Mammal_phylogeny.nex
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README.txt
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Sampling_Effect.csv
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Virus_matrix.csv
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Virus_Taxonomy_Host_Range.csv
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VirusRichness_AnimalCategory_Data.csv
May 24, 2021 version files 51.39 MB
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DataS1.csv
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DataS2.csv
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DataS3.csv
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DataS4.csv
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DataS5.nex
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README.txt
May 27, 2021 version files 50.91 MB
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DataS5.nex
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README.txt
Abstract
Most new infectious diseases emerge when pathogens transfer from animals to humans1,2. The suspected origin of the COVID pandemic in wildlife wet market has resurfaced debates on the role of wildlife trade as a potential source of emerging zoonotic diseases3,4,5. Yet, there are no studies quantitatively assessing zoonotic disease risk associated with wildlife trade. Combining data of mammal species hosting zoonotic viruses and data on mammals known to be in current and future wildlife trade6, we find that one-quarter (26.5%) of the mammals in wildlife trade harbor 75% of known zoonotic viruses, at levels much higher than domesticated and non-traded mammals. The traded mammals also harbor distinct composition of zoonotic viruses and different host reservoirs than non-traded and domesticated mammals. Furthermore, we highlight that species of primates, ungulates, carnivores, and bats represent significant zoonotic diseases risk as they host a 132 (58%) of 226 known zoonotic viruses in present wildlife trade. Whereas species of bats, rodents, and marsupials represent significant zoonotic diseases risk in future wildlife trade. Thus, the risk of carrying zoonotic diseases is not equal for all mammal species in wildlife trade. Overall, our findings strengthen the evidence that wildlife trade and zoonotic disease risks are strongly associated and that mitigation measures should prioritize species with the highest risk of carrying zoonotic viruses. Curbing the sales of wildlife products and developing principles that support the sustainable and healthy trade of wildlife could be a cost-effective investment given the potential risk and consequences of zoonotic outbreaks.
Methods
Dataset was collected through literature survey