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Malaria predictions based on seasonal climate forecasts in South Africa: A time series distributed lag nonlinear model.
Kim, Yoonhee; Ratnam, J V; Doi, Takeshi; Morioka, Yushi; Behera, Swadhin; Tsuzuki, Ataru; Minakawa, Noboru; Sweijd, Neville; Kruger, Philip; Maharaj, Rajendra; Imai, Chisato Chrissy; Ng, Chris Fook Sheng; Chung, Yeonseung; Hashizume, Masahiro.
Affiliation
  • Kim Y; Department of Global Environmental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ratnam JV; Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan.
  • Doi T; Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan.
  • Morioka Y; Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan.
  • Behera S; Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan.
  • Tsuzuki A; Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
  • Minakawa N; Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
  • Sweijd N; Alliance for Collaboration on Climate and Earth Systems Science, Cape Town, South Africa.
  • Kruger P; Department of Health, Limpopo, South Africa.
  • Maharaj R; Office of Malaria Research, Medical Research Council, Durban, South Africa.
  • Imai CC; Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
  • Ng CFS; Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
  • Chung Y; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
  • Hashizume M; Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Sci Rep ; 9(1): 17882, 2019 11 29.
Article in En | MEDLINE | ID: mdl-31784563
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate / Malaria Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Africa Language: En Journal: Sci Rep Year: 2019 Type: Article Affiliation country: Japan
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate / Malaria Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Africa Language: En Journal: Sci Rep Year: 2019 Type: Article Affiliation country: Japan