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[Advance on theoretical epidemiology models research of prevention and control of COVID-19].
Zhang, H Z; Ding, Z X; Shen, M W; Xiao, Y N; Peng, Z H; Shen, H B.
  • Zhang HZ; Department of Epidemiology and Health statistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
  • Ding ZX; China International Cooperation Center, Nanjing Medical University, Nanjing 210029, China.
  • Shen MW; China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
  • Xiao YN; Center for the Intersection of Mathematics and Life Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
  • Peng ZH; China International Cooperation Center, Nanjing Medical University, Nanjing 210029, China.
  • Shen HB; Department of Epidemiology and Health statistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(10): 1256-1262, 2021 Oct 06.
Article in Chinese | MEDLINE | ID: covidwho-1497387
ABSTRACT
COVID-19 has brought a significant impact to the global health system, and also opportunities and challenges to epidemiological researches. Theoretical epidemiological models can simulate the process of epidemic in scenarios under different conditions. Therefore, modeling researches can analyze the epidemical trend of COVID-19, predict epidemical risks, and evaluate effects of different control measures and vaccine policies. Theoretical epidemiological modeling researches provide scientific advice for the prevention and control of infectious diseases, and play a crucial role in containing COVID-19 over the past year. In this study, we review the theoretical epidemiological modeling researches on COVID-19 and summarize the role of theoretical epidemiological models in the prevention and control of COVID-19, in order to provide reference for the combination of mathematical modeling and epidemic control.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: Chinese Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2021 Document Type: Article Affiliation country: Cma.j.cn112150-20210310-00241

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: Chinese Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2021 Document Type: Article Affiliation country: Cma.j.cn112150-20210310-00241