Evidence map›Paper›PMID 39358819›Full record

ArticleArchives of public health = Archives belges de sante publique2024

Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study.

Zitong Huang, Liling Lin, Xing Li, Zuhua Rong, Jianxiong Hu, Jianguo Zhao, Weilin Zeng, Zhihua Zhu, Yihong Li, Yun Huang and 9 more

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

19 authors.

Zitong Huang *School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Liling Lin *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
Xing LiGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Zuhua RongGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Jianxiong HuGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Jianguo ZhaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Weilin ZengGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Zhihua ZhuGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Yihong LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
Yun HuangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
Li ZhangGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Dexin GongGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Jiaqing XuGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Yan LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
Huibing LaiYunfu City Center for Disease Control and Prevention, Yunfu, 527300, China.
Wangjian ZhangSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Yuantao HaoPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China. jpengx@163.com.
Lifeng LinSchool of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. lifenglinGD@163.com.

Funding

National Natural Science Foundation of China 82373636Science & Technology Planning Projects of Yunfu City 2022020701
6 · The paper itself

Abstract

backgroundFrom January 2020 to June 2022, strict interventions against COVID-19 were implemented in Guangdong Province, China. However, the evolution of COVID-19 dynamics remained unclear in this period.

objectivesThis study aims to investigate the evolution of within- and between-city COVID-19 dynamics in Guangdong, specifically during the implementation of rigorous prevention and control measures. The intent is to glean valuable lessons that can be applied to refine and optimize targeted interventions for future crises.

methodsData of COVID-19 cases and synchronous interventions from January 2020 to June 2022 in Guangdong Province were collected. The epidemiological characteristics were described, and the effective reproduction number (R

resultsThe incidence of COVID-19 in Guangdong Province was 12.6/100,000 population (15,989 cases) from January 2020 to June 2022. The R

conclusionThe findings indicate the presence of spatiotemporal variation of COVID-19 in Guangdong Province, even with the implementation of strict interventions. It's significant to prevent transmissions within cities with dense population. Preventing spatial transmissions between cities is necessary when the epidemic is severe. To better cope with future crises, interventions including vaccination, medical resource allocation and coordinated non-pharmaceutical interventions were suggested.

Indexed as

COVID-19Guangdong ProvinceInterventionSpatiotemporal variation

Identifiers

PMID39358819
PMCPMC11448419

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.