Using big data to predict pertussis infections in Jinan city, China: a time series analysis.

Zhang, Yuzhou; Bambrick, Hilary; Mengersen, Kerrie; Tong, Shilu; Feng, Lei; Zhang, Li; Liu, Guifang; Xu, Aiqiang; Hu, Wenbiao

Zhang, Yuzhou; Bambrick, Hilary; Mengersen, Kerrie; Tong, Shilu; Feng, Lei; Zhang, Li; Liu, Guifang; Xu, Aiqiang; Hu, Wenbiao.

Affiliation

Zhang Y; School of Public Health and Social Work; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Bambrick H; School of Public Health and Social Work; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Mengersen K; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Tong S; School of Public Health and Social Work; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Feng L; School of Public Health and Institute of Environment and Human Health, Anhui Medical University, Hefei, Anhui, China.
Zhang L; Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China.
Liu G; Shandong Provincial Centre of Disease Control and Prevention, Jinan, China.
Xu A; Shandong Provincial Centre of Disease Control and Prevention, Jinan, China.
Hu W; Shandong Provincial Centre of Disease Control and Prevention, Jinan, China.

Int J Biometeorol ; 64(1): 95-104, 2020 Jan.

Article in En | MEDLINE | ID: mdl-31478106

Subject(s)

Epidemics; Whooping Cough; Big Data; China; Cities; Humans; Incidence

Key words

Climate; Pertussis; Prediction; Search terms; Social factor

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Full text: 1 Database: MEDLINE Main subject: Whooping Cough / Epidemics Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Year: 2020 Type: Article

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