Evidence map›Paper›PMID 33413723›Full record

ArticleDisaster medicine and public health preparedness2022

Effect of Travel Restrictions of Wuhan City Against COVID-19: A Modified SEIR Model Analysis.

Yue Li, Shike Hou, Yongzhong Zhang, Junfeng Liu, Haojun Fan, Chunxia Cao

Abstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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

6 authors.

Yue LiInstitute of Disaster Medicine, Tianjin University, Tianjin, P.R. China.
Shike HouInstitute of Disaster Medicine, Tianjin University, Tianjin, P.R. China.
Yongzhong ZhangInstitute of Disaster Medicine, Tianjin University, Tianjin, P.R. China.
Junfeng LiuDepartment of Mathematics, Renai College, Tianjin University, Tianjin, P.R. China.
Haojun FanInstitute of Disaster Medicine, Tianjin University, Tianjin, P.R. China.
Chunxia CaoInstitute of Disaster Medicine, Tianjin University, Tianjin, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSince December 2019, a new coronavirus viral was initially detected in Wuhan, China. Population migration increases the risk of epidemic transmission. Here, the objective of study is to estimate the output risk quantitatively and evaluate the effectiveness of travel restrictions of Wuhan city.

methodsWe proposed a modified susceptible-exposed-infectious-recovered (SEIR) dynamics model to predict the number of coronavirus disease 2019 (COVID-19) symptomatic and asymptomatic infections in Wuhan. And, subsequently, we estimated the export risk of COVID-19 epidemic from Wuhan to other provinces in China. Finally, we estimated the effectiveness of travel restrictions of Wuhan city quantitatively by the export risk on the assumption that the measure was postponed.

resultsThe export risks of COVID-19 varied from Wuhan to other provinces of China. The peak of export risk was January 21-23, 2020. With the travel restrictions of Wuhan delayed by 3, 5, and 7 d, the export risk indexes will increase by 38.50%, 55.89%, and 65.63%, respectively.

conclusionsThe results indicate that the travel restrictions of Wuhan reduced the export risk and delayed the overall epidemic progression of the COVID-19 epidemic in China. The travel restrictions of Wuhan city may provide a reference for the control of the COVID-19 epidemic all over the world.

Indexed as

Communicable DiseasesCOVID-19EpidemicsChinaHumansSARS-CoV-2TravelCOVID-19export riskmigration indexesSEIR model

Identifiers

PMID33413723
PMCPMC8027550

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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.