An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk.
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| Title: | An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk. |
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| Authors: | Yuan HY; Department of Biomedical Sciences, City University of Hong Kong, College of Biomedicine, Hong Kong SAR, China.; Centre for Applied One Health Research and Policy Advice Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China., Lin PS; Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan. pslin@nhri.edu.tw., Liu WL; National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Miaoli, Taiwan., Wen TH; Department of Geography, National Taiwan University, Taipei, Taiwan., Lu YC; Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan., Chen CH; National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Miaoli, Taiwan. chunhong@gmail.com.; National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan. chunhong@gmail.com.; Department Institute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan. chunhong@gmail.com., Chen LW; Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan. |
| Source: | International journal of health geographics [Int J Health Geogr] 2025 Aug 06; Vol. 24 (1), pp. 22. Date of Electronic Publication: 2025 Aug 06. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101152198 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-072X (Electronic) Linking ISSN: 1476072X NLM ISO Abbreviation: Int J Health Geogr Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1476-072X |
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| DOI: | 10.1186/s12942-025-00403-z |
