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Weather integrated multiple machine learning models for prediction of dengue prevalence in India.
Kakarla, Satya Ganesh; Kondeti, Phani Krishna; Vavilala, Hari Prasad; Boddeda, Gopi Sumanth Bhaskar; Mopuri, Rajasekhar; Kumaraswamy, Sriram; Kadiri, Madhusudhan Rao; Mutheneni, Srinivasa Rao.
Afiliação
  • Kakarla SG; ENVIS Resource Partner On Climate Change and Public Health, Applied Biology Division, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
  • Kondeti PK; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
  • Vavilala HP; ENVIS Resource Partner On Climate Change and Public Health, Applied Biology Division, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
  • Boddeda GSB; ENVIS Resource Partner On Climate Change and Public Health, Applied Biology Division, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
  • Mopuri R; ENVIS Resource Partner On Climate Change and Public Health, Applied Biology Division, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
  • Kumaraswamy S; ENVIS Resource Partner On Climate Change and Public Health, Applied Biology Division, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
  • Kadiri MR; ENVIS Resource Partner On Climate Change and Public Health, Applied Biology Division, CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Tarnaka, Hyderabad, 500007, Telangana, India.
  • Mutheneni SR; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Int J Biometeorol ; 67(2): 285-297, 2023 Feb.
Article em En | MEDLINE | ID: mdl-36380258
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dengue Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dengue Idioma: En Ano de publicação: 2023 Tipo de documento: Article