View in EDS HTML Full Text PDF Full Text

Unraveling the drivers of leptospirosis risk in Thailand using machine learning.

Saved in:
Bibliographic Details
Title: Unraveling the drivers of leptospirosis risk in Thailand using machine learning.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41086238
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Unraveling the drivers of leptospirosis risk in Thailand using machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Suttirat+P%22">Suttirat P</searchLink>; Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, Thailand.; Center for Disease Modeling, Faculty of Science, Mahidol University, Bangkok, Thailand.<br /><searchLink fieldCode="AU" term="%22Chadsuthi+S%22">Chadsuthi S</searchLink>; Department of Physics, Faculty of Science, Naresuan University, Phitsanulok, Thailand.<br /><searchLink fieldCode="AU" term="%22Modchang+C%22">Modchang C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Rocklöv+J%22">Rocklöv J</searchLink>; 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.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101291488%22">PLoS neglected tropical diseases</searchLink> [PLoS Negl Trop Dis] 2025 Oct 14; Vol. 19 (10), pp. e0013618. <i>Date of Electronic Publication: </i>2025 Oct 14 (<i>Print Publication: </i>2025).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101291488 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1935-2735 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219352727%22">19352727 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Negl Trop Dis <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41086238
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pntd.0013618
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0013618
    Titles:
      – TitleFull: Unraveling the drivers of leptospirosis risk in Thailand using machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Suttirat P
      – PersonEntity:
          Name:
            NameFull: Chadsuthi S
      – PersonEntity:
          Name:
            NameFull: Modchang C
      – PersonEntity:
          Name:
            NameFull: Rocklöv J
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 14
              M: 10
              Text: 2025 Oct 14
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1935-2735
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: PLoS neglected tropical diseases
              Type: main
ResultId 1