Evidence map›Paper›PMID 35301168›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2022

A switching dynamic model based on phased COVID-19 data in Chongqing and its evaluation.

Jiang Long, Chenxi Dai, Shanshan Kuang, Han Zhao, Dan Liu, Qing Luo, Kaifa Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jiang LongChongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, PR China.
Chenxi DaiSchool of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing 400038, PR China.
Shanshan KuangChongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, PR China.
Han ZhaoChongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, PR China.
Dan LiuSchool of Mathematics and Statistics, Southwest University, Chongqing 400715, PR China.
Qing LuoSchool of Mathematics and Statistics, Southwest University, Chongqing 400715, PR China.
Kaifa WangSchool of Mathematics and Statistics, Southwest University, Chongqing 400715, PR China. Electronic address: kfwang72@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough COVID-19 has been controlled in China, the risk of invasion of imported cases remains. We aimed to characterize the impact of the number of imported cases and the implementation of first-level emergency response (FLER) policy.

methodsA SCQIHR switching model was constructed and verified by the complete phased data of COVID-19 in Chongqing in 2020. Then it was used to investigate the impact of the number of imported cases and the timing of FLER. Lastly, it was evaluated by three actual scenarios in Chongqing in 2021.

resultsThe proposed model can fit the multidimensional time series well. After the implementation of FLER, the mean effective reproduction number, contact rate and misdetection rate were decreased significantly, but the quarantine rate for close contacts and isolation rate for non-hospitalized infectious cases were increased significantly. The peaks of quarantined close contacts and hospitalized infectious cases increased linearly with the increase of the number of imported cases and the lag of FLER time, which was verified by three actual scenarios in Chongqing in 2021.

conclusionsThese findings can provide guidance for local public health policy-making and allocation of medical resources, reduce the impact of COVID-19 on the local population.

Indexed as

COVID-19Basic Reproduction NumberChinaHumansQuarantineSARS-CoV-2COVID-19First-level emergency responseImported casesSwitching dynamic model

Identifiers

PMID35301168
PMCPMC8920112

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.