Mapping global avian influenza risk patterns through waterbird activity entropy

Avian influenza viruses (AIV) pose a major zoonotic threat with pandemic potential. Waterbirds facilitate AIV spillovers into farm animals and humans through exposure and virus reassortment. Here, we propose waterbird activity entropy (WAE), an indicator of waterbird activity intensity based on monthly distributions of 779 species worldwide. WAE demonstrated high explanative power (AUC = 0.87 ± 0.001) for global avian influenza cases, particularly for H5N1, revealing the potential of WAE for identifying AIV exposure hotspots which cover 14% of global land area. Notably, the AIV exposure hotspots in the USA, EU, China, and India contain 52% of the globally exposed human population, 41% cattle, and 51% poultry. Despite reporting <1% of global cases, sub-Saharan Africa contains >300 Mha of hotspots area (15% globally), highlighting considerable surveillance gaps. This WAE-based framework enhances AIV risk assessment by incorporating waterbird residency time, offering critical insights for anticipating AIV emergence and improving surveillance.

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Publication Details

Journal
Nature Communications
Published
2026-03-07
DOI
https://doi.org/10.1038/s41467-026-70432-0
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping global avian influenza risk patterns through waterbird activity entropy

Mariëlle L. van Toor, Juan Pu, Fanshu Du, Weipan Lei et al.
Nature Communications
Influenza Virus Research Studies
article

Mapping global avian influenza risk patterns through waterbird activity entropy

Mariëlle L. van Toor, Juan Pu, Fanshu Du, Weipan Lei, A. Townsend Peterson, Yue Zhan, Qiang Zhang, Yuzhe Li, Zhichao Li, Dayan Wang, Jinwei Dong, Xiangming Xiao, Jonas Waldenström, Yuxin Qiao
article en

Abstract

Avian influenza viruses (AIV) pose a major zoonotic threat with pandemic potential. Waterbirds facilitate AIV spillovers into farm animals and humans through exposure and virus reassortment. Here, we propose waterbird activity entropy (WAE), an indicator of waterbird activity intensity based on monthly distributions of 779 species worldwide. WAE demonstrated high explanative power (AUC = 0.87 ± 0.001) for global avian influenza cases, particularly for H5N1, revealing the potential of WAE for identifying AIV exposure hotspots which cover 14% of global land area. Notably, the AIV exposure hotspots in the USA, EU, China, and India contain 52% of the globally exposed human population, 41% cattle, and 51% poultry. Despite reporting <1% of global cases, sub-Saharan Africa contains >300 Mha of hotspots area (15% globally), highlighting considerable surveillance gaps. This WAE-based framework enhances AIV risk assessment by incorporating waterbird residency time, offering critical insights for anticipating AIV emergence and improving surveillance.

Nature Communications
University of Kansas (US), Chinese Academy of Sciences (CN), Linnaeus University (SE), Beijing Normal University (CN), National Institute for Viral Disease Control and Prevention (CN), Ministry of Agriculture and Rural Affairs (CN), Innovation Ecology (Israel) (IL), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), China Agricultural University (CN), Lanzhou University (CN), University of Oklahoma (US)
National Science Foundation, National Key Research and Development Program of China
Clean water and sanitation
Openalex Percentile: Top 31%
Influenza Virus Research Studies
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