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Random forest regression on joint role of meteorological variables, demographic factors, and policy response measures in COVID-19 daily cases: global analysis in different climate zones.
Lyu, Yiran; Wang, Yu; Jiang, Chao; Ding, Cheng; Zhai, Mengying; Xu, Kaiqiang; Wei, Lan; Wang, Jiao.
Affiliation
  • Lyu Y; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
  • Wang Y; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
  • Jiang C; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
  • Ding C; Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
  • Zhai M; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
  • Xu K; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
  • Wei L; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
  • Wang J; Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 10021, China.
Environ Sci Pollut Res Int ; 30(32): 79512-79524, 2023 Jul.
Article in En | MEDLINE | ID: mdl-37289396
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania