Spatiotemporal variations and influencing factors of highly pathogenic avian influenza risk in the Pan-Tibetan Plateau region

BACKGROUND: Highly pathogenic avian influenza (HPAI) is a major infectious disease threatening the poultry industry and public health severely. The spatiotemporal patterns and driving forces, however, remain elusive in the Tibetan Plateau and its vicinity, an ecologically critical corridor for migratory birds. This study aims to identify the factors driving these variations and to assess the HPAI risk in wild birds and domestic poultry across this region. METHODS: Based on HPAI records from the Food and Agriculture Organization of the United Nations and the Official Veterinary Bulletin and 34 potential drivers in the Pan-Tibetan Plateau (PTP), comprising Xizang Autonomous Region (XZ), Qinghai Province (QH), Gansu Province (GS), Sichuan Province (SC), Yunnan Province (YN) and Xinjiang Uygur Autonomous Region (XJ), this study utilized the MaxEnt models to simulate spatial patterns of HPAI risk of wild birds, domestic poultry, and the integration of both, and identify key risk factors. RESULTS: Performances of models for wild birds and domestic poultry models were robust (both Test AUC values > 0.9). Although the mixed model performed acceptably overall, it significantly underestimated the infection risk in wild birds. High-risk areas of wild birds HPAI were concentrated in XZ, QH, GS and XJ (> 93%), showing a close relationship with natural factors like slope and distance to water sources. Conversely, those for domestic poultry were mainly distributed in YN, SC, GS (about 70%) and the peripheries of provincial capitals, dominated by socioeconomic variables such as gross domestic product and road networks. Moreover, overlapping HPAI risk areas were found in GS, XJ, XZ, and QH, which may be associated with increasing poultry production and fragmented wetland landscape. Additionally, it's recommended that HPAI risk modeling be stratified by host types, particularly in areas with sparse surveillance data. CONCLUSIONS: HPAI risks in wild birds and domestic poultry are dominated by natural factors and socioeconomic conditions respectively, and overlapping high-risk areas require focused attention. This study contributes to the understanding of HPAI transmission mechanisms in different hosts, providing a scientific basis for differentiated surveillance in the PTP.

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Publication Details

Journal
Infectious Diseases of Poverty
Published
2026-11-02
DOI
https://doi.org/10.1186/s40249-026-01506-w
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal variations and influencing factors of highly pathogenic avian influenza risk in the Pan-Tibetan Plateau region

Runhe Shi, Yao Wang, Hongyan Ren
2 links
Infectious Diseases of Poverty
Influenza Virus Research Studies
article

Spatiotemporal variations and influencing factors of highly pathogenic avian influenza risk in the Pan-Tibetan Plateau region

Runhe Shi, Yao Wang, Hongyan Ren
article en

Abstract

BACKGROUND: Highly pathogenic avian influenza (HPAI) is a major infectious disease threatening the poultry industry and public health severely. The spatiotemporal patterns and driving forces, however, remain elusive in the Tibetan Plateau and its vicinity, an ecologically critical corridor for migratory birds. This study aims to identify the factors driving these variations and to assess the HPAI risk in wild birds and domestic poultry across this region. METHODS: Based on HPAI records from the Food and Agriculture Organization of the United Nations and the Official Veterinary Bulletin and 34 potential drivers in the Pan-Tibetan Plateau (PTP), comprising Xizang Autonomous Region (XZ), Qinghai Province (QH), Gansu Province (GS), Sichuan Province (SC), Yunnan Province (YN) and Xinjiang Uygur Autonomous Region (XJ), this study utilized the MaxEnt models to simulate spatial patterns of HPAI risk of wild birds, domestic poultry, and the integration of both, and identify key risk factors. RESULTS: Performances of models for wild birds and domestic poultry models were robust (both Test AUC values > 0.9). Although the mixed model performed acceptably overall, it significantly underestimated the infection risk in wild birds. High-risk areas of wild birds HPAI were concentrated in XZ, QH, GS and XJ (> 93%), showing a close relationship with natural factors like slope and distance to water sources. Conversely, those for domestic poultry were mainly distributed in YN, SC, GS (about 70%) and the peripheries of provincial capitals, dominated by socioeconomic variables such as gross domestic product and road networks. Moreover, overlapping HPAI risk areas were found in GS, XJ, XZ, and QH, which may be associated with increasing poultry production and fragmented wetland landscape. Additionally, it's recommended that HPAI risk modeling be stratified by host types, particularly in areas with sparse surveillance data. CONCLUSIONS: HPAI risks in wild birds and domestic poultry are dominated by natural factors and socioeconomic conditions respectively, and overlapping high-risk areas require focused attention. This study contributes to the understanding of HPAI transmission mechanisms in different hosts, providing a scientific basis for differentiated surveillance in the PTP.

Infectious Diseases of PovertyVol. 15(1)
Chinese Academy of Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), State Key Laboratory of Resources and Environmental Information System (CN), East China Normal University (CN)
National Key Research and Development Program of China
Good health and well-being, Zero hunger
Openalex Percentile: Top 14%
Influenza Virus Research Studies
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