Evidence map›Paper›PMID 33349271›Full record

ArticleGlobal health research and policy2020

The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China.

Jianjun Bai, Fang Shi, Jinhong Cao, Haoyu Wen, Fang Wang, Sumaira Mubarik, Xiaoxue Liu, Yong Yu, Jianbo Ding, Chuanhua Yu

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Global health research and policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 25 citations in OpenAlex.

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  4. Descriptive understanding and prediction in COVID-19 modelling.History and philosophy of the life sciences · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Jianjun BaiDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Fang ShiDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Jinhong CaoDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Haoyu WenDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Fang WangDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Xiaoxue LiuDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China.
Yong YuSchool of Public Health and Management, Hubei University of Medicine, 30# South Renmin Road, Shiyan, 442000, China.
Jianbo DingYEBIO Bioengineering Co., Ltd. of Qingdao, 21# Aodongnan Road, Qingdao, 266114, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 115#Donghu Road, Wuhan, 430071, China. yuchua@whu.edu.cn.
Wuhan Donghu University · CNWuhan University · CNHubei University of Medicine · CNYebio Bioengineering (China) · CN

Funding

National Key Research and Development Program of China No. 2017YFC1200502, 2018YFC1315302)National Natural Science Foundation of China No. 81773552Special Foundation for Basic Scientific Research of Central Universities No. 2020YJ066
6 · The paper itself

Abstract

objectivesTo 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.

methodsThrough 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.

resultsAs 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 1.95:1. 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.

conclusionCOVID-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.

Indexed as

AgedAged, 80 and overChinaCOVID-19Diabetes MellitusFemaleFeverHumansHypertensionMaleMiddle AgedCoronavirus disease 2019COVID-19DeathEpidemiological characteristicWuhan city

Identifiers

PMID33349271
PMCPMC7750392
OpenAlexW3117834423

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.