Evidence map›Paper›PMID 34893052›Full record

ArticleBMC public health2021

Development and utility of a close contact information management system for the COVID-19 pandemic.

Jiali Long, Rong He, Shen Tian, Yefei Luo, Mengmeng Ma, Wen Wang, Yuehong Wei, Jun Yuan

Abstract read
In one paragraph

Article in BMC public health, 2021. 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

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

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

8 authors.

Jiali LongGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China.
Rong HeGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China.
Shen TianSchool of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China.
Yefei LuoGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China.
Mengmeng MaGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China.
Wen WangGuangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China.
Yuehong Wei *Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China. wei_yh0928@163.com.
Jun Yuan *Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China. yuanjuncom@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the outbreak started in 2019, COVID-19 pandemic has a significant global impact. Due to the highly infective nature of SARS-CoV-2, the COVID-19 close contacts are at significant risk of contracting COVID-19. China's experience in successfully controlling COVID-19 emphasized the importance of managing close contacts because this strategy helps to limit potential infection sources, prevent the unconscious spread of COVID-19 and thus control this pandemic. As a result, to understand and consider the management of close contacts may be beneficial to other countries. However, managing close contacts is challenging owing to the huge number of close contacts and a lack of appropriate management tools and literature references.

methodsA new system called the COVID-19 Close Contact Information Management System was developed. Here we introduced the design, use, improvement and achievements of this system.

resultsThis system was designed from the standpoint of the Centers for Disease Control and Prevention in charge of managing close contacts. Two main functions and eight modules/themes were ultimately formed after two development stages. The system introduces what information need to be collected in the close contact management. Since the system allows information flow across cities, the geographical distance and administrative regional boundaries are no longer obstacles for managing close contacts, which promotes the management of each close contact. Moreover, when this system is used in conjunction with other data tools, it provides data assistance for understanding the COVID-19 characteristics and formulating targeted COVID-19 control policies. To date, the system has been widely used in Guangdong Province for over 1 year and has recorded tens of thousands of pieces of data. There is sufficient practical experience to suggest that the system is capable of meeting the professional work requirements for close contact management.

conclusionsThis system provides a new way to manage close contacts and restrict the spread of COVID-19 by combining information technology with disease prevention and control strategies in the realm of public health. We hope that this system will serve as an example and guide for those anticipating similar work in other countries in response to current and future public health incidents.

Indexed as

COVID-19HumansInformation ManagementOrganizationsPandemicsSARS-CoV-2United StatesDisease controlThe COVID-19 close contact information management systemThe COVID-19 pandemic

Identifiers

PMID34893052
PMCPMC8664674

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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.