Evidence map›Paper›PMID 34404390›Full record

ArticleInternational journal for equity in health2021

Policy disparities in response to COVID-19 between Singapore and China.

Xiaohan Wang, Leiyu Shi, Yuyao Zhang, Haiqian Chen, Gang Sun

Abstract read
In one paragraph

Article in International journal for equity in 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

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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

5 authors.

Xiaohan WangDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, PR China.
Leiyu ShiDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
Yuyao ZhangDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, PR China.
Haiqian ChenDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, PR China.
Gang SunDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, 510515, PR China. sunhoney163@163.com.ORCID 0000-0002-9642-2886

Funding

the National Social Science Fund of China No. 16BGL184
6 · The paper itself

Abstract

objectiveThe study analyzed the common points and discrepancies of COVID-19 control measures of the two countries in order to provide appropriate coping experiences for countries all over the world.

methodThis study examined the associations between the epidemic prevention and control policies adopted in the first 70 days after the outbreak and the number of confirmed cases in China and Singapore using the generalized linear model. Policy comparisons and disparities between the two countries were also discussed.

resultsThe regression models show that factors influencing the cumulative number of confirmed cases in China: Locking down epicenter; activating Level One public health emergency response in all localities; the central government set up a leading group; classified management of "four categories of personnel"; launching makeshift hospitals; digital management for a matrix of urban communities; counterpart assistance. The following four factors were the key influencing factors of the cumulative confirmed cases in Singapore: The National Centre for Infectious Diseases screening center opens; border control measures; surveillance measures; Public Health Preparedness Clinics launched.

conclusionsThrough analyzing the key epidemic prevention and control policies of the two countries, we found that the following factors are critical to combat COVID-19: active case detection, early detection of patients, timely isolation, and treatment, and increasing of medical capabilities. Countries should choose appropriate response strategies with health equity in mind to ultimately control effectively the spread of COVID-19 worldwide.

Indexed as

COVID-19PolicyChinaHumansSingaporeCase detectionControl policiesCOVID-19Global health equityIsolation

Identifiers

PMID34404390
PMCPMC8369872

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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.