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Emerging Microbes & Infections Volume 9, 2020 - Issue 1

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Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods

Dong Miaoa State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaView further author information

Ke Daia State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaView further author information

Guo-Ping Zhaoa State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaView further author information

Xin-Lou Lia State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaView further author information

Wen-Qiang Shia State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaView further author information

Jiu Song Zhanga State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaView further author information

Yang Yangb Department of Biostatistics, College of Public Health and Health Professions, and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USAView further author information

Wei Liua State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaCorrespondence[email protected]

https://orcid.org/0000-0002-9302-8170 View further author information

Li-Qun Fanga State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of ChinaCorrespondence[email protected]
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Pages 817-826 | Received 10 Feb 2020, Accepted 23 Mar 2020, Published online: 29 Apr 2020

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https://doi.org/10.1080/22221751.2020.1748521
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Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods

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