Evidence map›Paper›PMID 33463732›Full record

ArticleJournal of medical virology2021

The effectiveness of active surveillance measures for COVID-19 cases in Pudong New Area Shanghai, China, 2020.

Hanzhao Liu, Chuchu Ye, Yuanping Wang, Weiping Zhu, Yifeng Shen, Caoyi Xue, Hong Zhang, Yanyan Zhang, Shihong Li, Bing Zhao and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. 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

13 authors.

Hanzhao LiuResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Chuchu YeResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.ORCID 0000-0003-4461-4111
Yuanping WangResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Weiping ZhuResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yifeng ShenResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Caoyi XueResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Hong ZhangResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yanyan ZhangResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Shihong LiResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Bing ZhaoResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Hongmei XuResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Lipeng HaoResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yixin ZhouResearch Base of Key Laboratory of Surveillance and Early Warning of Infectious Disease of China CDC, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.

Funding

National Science and Technology Major Project of China 2018ZX10713001-008
6 · The paper itself

Abstract

The aim of this study was to thoroughly document the effects of multiple intervention and control methods to mitigate the ongoing coronavirus disease 2019 (COVID-19) outbreak in Pudong New Area, Shanghai. After identification of the first confirmed case of COVID-19 in Pudong on January 21, 2020, the local Center for Disease Control and Prevention (CDC) launched a case investigation involving isolation, close-contact (CC) tracing and quarantine of persons with a potential exposure risk to prevent and control transmission. Epidemiological features of cases detected by three different strategies were compared to assess the impact of these active surveillance measures. As of February 16, 2020, a total of 108 confirmed COVID-19 cases had been identified in Pudong, Shanghai. Forty-five (41.67%) cases were identified through active surveillance measures, with 22 (20.37%) identified by CC tracing and 23 (21.30%) by quarantine of potential exposure populations (PEPs). The average interval from illness onset to the first medical visit was 1 day. Cases identified by CC tracing and PEPs were quarantined for 0.5 and 1 day before illness onset, respectively. The time intervals from illness onset to the first medical visit and isolation among actively screened cases were 2 days (p = .02) and 3 days (p = .00) shorter, respectively, than those among self-admission cases. Our study highlights the importance of active surveillance for potential COVID-19 cases, as demonstrated by shortened time intervals from illness onset to both the first medical visit and isolation. These measures contributed to the effective control of the COVID-19 outbreak in Pudong, Shanghai.

Indexed as

AdultChinaContact TracingCOVID-19FemaleHumansMaleMiddle AgedPopulation SurveillanceQuarantineSARS-CoV-2Time Factorsclose contactsCOVID-19potential exposure populationsquarantinesurveillance

Identifiers

PMID33463732
PMCPMC8014797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.