Evidence map›Paper›PMID 35618751›Full record

ArticleScientific reports2022

Application of genetic algorithm combined with improved SEIR model in predicting the epidemic trend of COVID-19, China.

Zhenzhen Qiu, Youyi Sun, Xuan He, Jing Wei, Rui Zhou, Jie Bai, Shouying Du

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

7 authors.

Zhenzhen QiuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Youyi SunSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Xuan HeSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Jing WeiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Rui ZhouSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China. r.zhou-bucm@qq.com.
Jie BaiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
Shouying DuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the outbreak of the 2019 Coronavirus disease (COVID-19) at the end of 2019, it has caused great adverse effects on the whole world, and it has been hindering the global economy. It is ergent to establish an infectious disease model for the current COVID-19 epidemic to predict the trend of the epidemic. Based on the SEIR model, the improved SEIR models were established with considering the incubation period, the isolated population, and genetic algorithm (GA) parameter optimization method. The improved SEIR models can predict the trend of the epidemic situation better and obtain the more accurate epidemic-related parameters. Comparing some key parameters, it is capable to evaluate the impact of different epidemic prevention measures and the implementation of different epidemic prevention levels on the COVID-19, which has significant guidance for further epidemic prevention measures.

Indexed as

COVID-19EpidemicsAlgorithmsChinaDisease OutbreaksHumans

Identifiers

PMID35618751
PMCPMC9133826

What OpenQuestion holds

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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.