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      Real-time forecasting and early warning of bacillary dysentery activity in four meteorological and geographic divisions in China.

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          Abstract

          Accurate and timely forecasts of bacillary dysentery (BD) incidence can be used to inform public health decision-making and response preparedness. However, our ability to detect BD dynamics and outbreaks remains limited in China.

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          Author and article information

          Journal
          Journal ID (iso-abbrev): Sci Total Environ
          Title: The Science of the total environment
          Publisher: Elsevier BV
          ISSN (Electronic): 1879-1026
          ISSN (Print): 0048-9697
          Publication date (Electronic): Mar 20 2021
          Volume: 761
          Affiliations
          [1 ] Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China; Shandong University Climate Change and Health Center, Jinan 250012, Shandong, China.
          [2 ] Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China; Shandong University Climate Change and Health Center, Jinan 250012, Shandong, China.
          [3 ] School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
          [4 ] School of Public Health, Fujian Medical University, Fuzhou 350121, Fujian, China; School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
          [5 ] School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia.
          [6 ] State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Shandong University Climate Change and Health Center, Jinan 250012, Shandong, China.
          [7 ] Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China; Shandong University Climate Change and Health Center, Jinan 250012, Shandong, China. Electronic address: bjiang@sdu.edu.cn.
          Article
          Publisher Item ID: S0048-9697(20)37624-5
          DOI: 10.1016/j.scitotenv.2020.144093
          PubMed ID: 33360132
          SO-VID: 83ae9bfa-40cf-4c34-9d22-b2d249d97d98
          History

          Keywords: Forecast,Outbreak alert,Bacillary dysentery,Boosted regression tree,Meteorological factors
          Data availability:
          Keywords: Forecast, Outbreak alert, Bacillary dysentery, Boosted regression tree, Meteorological factors

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