Evidence map›Paper›PMID 34444434›Full record

ArticleInternational journal of environmental research and public health2021

Effective COVID-19 Control: A Comparative Analysis of the Stringency and Timeliness of Government Responses in Asia.

Shu Chen, Lei Guo, Taghred Alghaith, Di Dong, Mohammed Alluhidan, Mariam M Hamza, Christopher H Herbst, Xinqi Zhang, Gabrielle Charis Alano Tagtag, Yi Zhang and 4 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

14 authors.

Shu ChenARC Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales, Sydney 2052, Australia.
Lei GuoDuke Global Health Institute, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-7365-0405
Taghred AlghaithGeneral Directorate for National Health Economics and Policy, Saudi Health Council, Riyadh 13315, Saudi Arabia.
Di DongHealth, Nutrition and Population Global Practice, The World Bank, Washington, DC 20433, USA.
Mohammed AlluhidanGeneral Directorate for National Health Economics and Policy, Saudi Health Council, Riyadh 13315, Saudi Arabia.ORCID 0000-0003-3824-2059
Mariam M HamzaHealth, Nutrition and Population Global Practice, The World Bank, Washington, DC 20433, USA.ORCID 0000-0002-5317-7067
Christopher H HerbstHealth, Nutrition and Population Global Practice, The World Bank, Washington, DC 20433, USA.
Xinqi ZhangDuke Global Health Institute, Duke University, Durham, NC 27708, USA.
Gabrielle Charis Alano TagtagYale-NUS College, National University of Singapore, Singapore 138527, Singapore.ORCID 0000-0003-2460-3271
Yi ZhangHealth, Nutrition and Population Global Practice, The World Bank, Washington, DC 20433, USA.
Nahar AlazemiGeneral Directorate for National Health Economics and Policy, Saudi Health Council, Riyadh 13315, Saudi Arabia.
Rana SaberGeneral Directorate for National Health Economics and Policy, Saudi Health Council, Riyadh 13315, Saudi Arabia.
Reem AlsukaitHealth, Nutrition and Population Global Practice, The World Bank, Washington, DC 20433, USA.ORCID 0000-0003-0797-0643
Shenglan TangDuke Global Health Institute, Duke University, Durham, NC 27708, USA.

Funding

Ministry of Finance, Saudi Arabia P172148World Bank Group P172148
6 · The paper itself

Abstract

aimMany governments in East and Southeast Asia responded promptly and effectively at the onset of the COVID-19 pandemic. Synthesizing and analyzing these responses is vital for disease control evidence-based policymaking.

methodsAn extensive review of COVID-19 control measures was conducted in selected Asian countries and subregions, including Mainland China, Hong Kong, Taiwan, South Korea, Singapore, Japan, and Vietnam from 1 January to 30 May 2020. Control measures were categorized into administrative, public health, and health system measures. To evaluate the stringency and timeliness of responses, we developed two indices: the Initial Response Index (IRI) and the Modified Stringency Index (MSI), which builds on the Oxford COVID-19 Government Response Tracker (OxCGRT).

resultsComprehensive administrative, public health, and health system control measures were implemented at the onset of the outbreak. Despite variations in package components, the stringency of control measures across the study sites increased with the acceleration of the outbreak, with public health control measures implemented the most stringently. Variations in daily average MSI scores are observed, with Mainland China scoring the highest (74.2), followed by Singapore (67.4), Vietnam (66.8), Hong Kong (66.2), South Korea (62.3), Taiwan (52.1), and Japan (50.3). Variations in IRI scores depicting timeliness were higher: Hong Kong, Taiwan, Vietnam, and Singapore acted faster (IRI > 50.0), while Japan (42.4) and Mainland China (4.2) followed.

conclusionsTimely setting of stringency of the control measures, especially public health measures, at dynamically high levels is key to optimally controlling outbreaks.

Indexed as

COVID-19PandemicsGovernmentHong KongHumansSARS-CoV-2AsiaCOVID-19 controlgovernment responsestringencytimeliness

Identifiers

PMID34444434
PMCPMC8393310

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LicenceCC BY
Read underepoch 390

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.