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Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study.
Gao, Yuanyuan; Zhang, Zuqin; Yao, Wei; Ying, Qi; Long, Cheng; Fu, Xinmiao.
  • Gao Y; Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University, Fuzhou City, Fujian Province, China.
  • Zhang Z; Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University, Fuzhou City, Fujian Province, China.
  • Yao W; Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University, Fuzhou City, Fujian Province, China.
  • Ying Q; Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas.
  • Long C; Department of Orthopaedics, Sichuan University West China Hospital, Chengdu City, Sichuan Province, China.
  • Fu X; Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University, Fuzhou City, Fujian Province, China.
Infect Control Hosp Epidemiol ; 41(7): 841-843, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-27439
ABSTRACT
The COVID-19 outbreak is ongoing in China. Here, Boltzmann function-based analyses reveal the potential total numbers of COVID-19 deaths 3,260 (95% confidence interval [CI], 3187-3394) in China; 110 (95% CI, 109-112) in Hubei Province; 3,174 (95% CI, 3095-3270) outside Hubei; 2,550 (95% CI, 2494-2621) in Wuhan City; and 617 (95% CI, 607-632) outside Wuhan.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2020 Document Type: Article Affiliation country: Ice.2020.101

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2020 Document Type: Article Affiliation country: Ice.2020.101