Unraveling the drivers of leptospirosis risk in Thailand using machine learning.
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| Title: | Unraveling the drivers of leptospirosis risk in Thailand using machine learning. |
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| Authors: | Suttirat P; Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, Thailand.; Center for Disease Modeling, Faculty of Science, Mahidol University, Bangkok, Thailand., Chadsuthi S; Department of Physics, Faculty of Science, Naresuan University, Phitsanulok, Thailand., Modchang C; Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, Thailand.; Center for Disease Modeling, Faculty of Science, Mahidol University, Bangkok, Thailand.; Centre of Excellence in Mathematics, MHESI, Bangkok, Thailand., Rocklöv J; Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden.; Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.; Interdisciplinary Center of Scientific Computing, Heidelberg University, Heidelberg, Germany. |
| Source: | PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2025 Oct 14; Vol. 19 (10), pp. e0013618. Date of Electronic Publication: 2025 Oct 14 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1935-2735 |
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| DOI: | 10.1371/journal.pntd.0013618 |
