Evidence map›Paper›PMID 33001833›Full record

ArticleJournal of medical Internet research2020

Epidemiological Parameters of COVID-19: Case Series Study.

Shujuan Ma, Jiayue Zhang, Minyan Zeng, Qingping Yun, Wei Guo, Yixiang Zheng, Shi Zhao, Maggie H Wang, Zuyao Yang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Impact of Mass Workplace COVID-19 Rapid Testing on Health and Healthcare Resource Savings.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shujuan Ma *Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7858-067X
Jiayue Zhang *Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-9219-6335
Minyan Zeng *Peking University Shenzhen Hospital, Shenzhen, China.ORCID 0000-0001-7294-2599
Qingping Yun *Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-2907-5845
Wei Guo *Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0003-4925-4362
Yixiang Zheng *Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-3913-8691
Shi ZhaoJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0001-8722-6149
Maggie H WangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0003-1223-4595
Zuyao YangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0003-2386-2431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe estimates of several key epidemiological parameters of the COVID-19 pandemic are often based on small sample sizes or are inaccurate for various reasons.

objectiveThe aim of this study is to obtain more robust estimates of the incubation period, serial interval, frequency of presymptomatic transmission, and basic reproduction number (R

methodsWe systematically retrieved and screened 20,658 reports of laboratory-confirmed COVID-19 cases released by the health authorities of China, Japan, and Singapore. In addition, 9942 publications were retrieved from PubMed and China National Knowledge Infrastructure (CNKI) through April 8, 2020. To be eligible, a report had to contain individual data that allowed for accurate estimation of at least one parameter. Widely used models such as gamma distributions were fitted to the data sets and the results with the best-fitting values were presented.

resultsIn total, 1591 cases were included for the final analysis. The mean incubation period (n=687) and mean serial interval (n=1015 pairs) were estimated to be 7.04 (SD 4.27) days and 6.49 (SD 4.90) days, respectively. In 40 cases (5.82%), the incubation period was longer than 14 days. In 32 infector-infectee pairs (3.15%), infectees' symptom onsets occurred before those of infectors. Presymptomatic transmission occurred in 129 of 296 infector-infectee pairs (43.58%). R

conclusionsThis study provides robust estimates of several epidemiological parameters of COVID-19. The findings support the current practice of 14-day quarantine of persons with potential exposure, but also suggest the need for additional measures. Presymptomatic transmission together with the asymptomatic transmission reported by previous studies highlight the importance of adequate testing, strict quarantine, and social distancing.

Indexed as

AdolescentAdultAgedBasic Reproduction NumberBetacoronavirusChinaCoronavirus InfectionsCOVID-19FemaleHumansJapanMaleMiddle AgedPandemicsPneumonia, ViralSARS-CoV-2basic reproduction numbercoronavirus disease 2019COVID-19incubation periodpresymptomatic transmissionserial interval

Identifiers

PMID33001833
PMCPMC7553786

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.