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The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China.
Bai, Jianjun; Shi, Fang; Cao, Jinhong; Wen, Haoyu; Wang, Fang; Mubarik, Sumaira; Liu, Xiaoxue; Yu, Yong; Ding, Jianbo; Yu, Chuanhua.
  • Bai J; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Shi F; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Cao J; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Wen H; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Wang F; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Mubarik S; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Liu X; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
  • Yu Y; School of Public Health and Management, Hubei University of Medicine, 30# South Renmin Road, Shiyan, 442000, China.
  • Ding J; YEBIO Bioengineering Co., Ltd. of Qingdao, 21# Aodongnan Road, Qingdao, 266114, China.
  • Yu C; Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China. yuchua@whu.edu.cn.
Glob Health Res Policy ; 5(1): 54, 2020 12 21.
Article in English | MEDLINE | ID: covidwho-992590
ABSTRACT

OBJECTIVES:

To analyze the epidemiological characteristics of COVID-19 related deaths in Wuhan, China and comprehend the changing trends of this epidemic along with analyzing the prevention and control measures in Wuhan.

METHODS:

Through the China's Infectious Disease Information System, we collected information about COVID-19 associated deaths from December 15, 2019 to February 24, 2020 in Wuhan. We analyzed the patient's demographic characteristics, drew epidemiological curve and made geographic distribution maps of the death toll in each district over time, etc. ArcGIS was used to plot the numbers of daily deaths on maps. Statistical analyses were performed using SPSS and @Risk software.

RESULTS:

As of February 24, 2020, a total of 1833 deaths were included. Among the deaths with COVID-19, mild type accounted for the most (37.2%), followed by severe type (30.1%). The median age was 70.0 (inter quartile range 63.0-79.0) years. Most of the deaths were distributed in 50-89 age group, whereas no deaths occurred in 0-9 age group. Additionally, the male to female ratio was 1.951. A total of 65.7% of the deaths in Wuhan combined with underlying diseases, and was more pronounced among males. Most of the underlying diseases included hypertension, diabetes and cardiovascular diseases. The peak of daily deaths appeared on February 14 and then declined. The median interval from symptom onset to diagnosis was 10.0 (6.0-14.0) days; the interval from onset to diagnosis gradually shortened. The median intervals from diagnosis to death and symptom onset to deaths were 6.0 (2.0-11.0), 17.0 (12.0-22.0) days, respectively. Most of the disease was centralized in central urban area with highest death rate in Jianghan District.

CONCLUSION:

COVID-19 poses a greater threat to the elderly people and men with more devastating effects, particularly in the presence of underlying diseases. The geographical distributions show that the epidemic in the central area of Wuhan is more serious than that in the surrounding areas. Analysis of deaths as of February 24 indicates that a tremendous improvement of COVID-19 epidemic in Wuhan has achieved by effective control measures taken by Wuhan Government.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 / Hypertension Type of study: Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Glob Health Res Policy Year: 2020 Document Type: Article Affiliation country: S41256-020-00183-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 / Hypertension Type of study: Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Glob Health Res Policy Year: 2020 Document Type: Article Affiliation country: S41256-020-00183-y