Evidence map›Paper›PMID 34650119›Full record

ArticleScientific reports2021

Effects of government policies on the spread of COVID-19 worldwide.

Hye Won Chung, Catherine Apio, Taewan Goo, Gyujin Heo, Kyulhee Han, Taehyun Kim, Hakyong Kim, Yeonghyeon Ko, Doeun Lee, Jisun Lim and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
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  7. Paternal Depression and Anxiety During the COVID-19 Pandemic.International journal of environmental research and public health · 2025
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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

12 authors.

Hye Won Chung *Department of Chemistry, Seoul National University, Seoul, 08826, Republic of Korea.
Catherine Apio *Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Taewan GooInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Gyujin HeoInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Kyulhee HanInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Taehyun KimDepartment of Statistics, Seoul National University, Seoul, 08826, Republic of Korea.
Hakyong KimDepartment of Industrial Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
Yeonghyeon KoDepartment of Industrial Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
Doeun LeeInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Jisun LimThe Research Institute of Basic Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Seungyeoun LeeDepartment of Mathematics and Statistics, Sejong University, Seoul, 05006, Republic of Korea.
Taesung ParkDepartment of Statistics, Seoul National University, Seoul, 08826, Republic of Korea. tspark@stats.snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of novel COVID-19 disease elicited a wide range of anti-contagion and economic policies like school closure, income support, contact tracing, and so forth, in the mitigation and suppression of the spread of the SARS-CoV-2 virus. However, a systematic evaluation of these policies has not been made. Here, 17 implemented policies from the Oxford COVID-19 Government Response Tracker dataset employed in 90 countries from December 31, 2019, to August 31, 2020, were analyzed. A Poisson regression model was applied to analyze the relationship between policies and daily confirmed cases using a generalized estimating equations approach. A lag is a fixed time displacement in time series data. With that, lagging (0, 3, 7, 10, and 14 days) was also considered during the analysis since the effects of policies implemented on a given day may affect the number of confirmed cases several days after implementation. The countries were divided into three groups depending on the number of waves of the pandemic observed in each country. Through subgroup analysis, we showed that with and without lagging, contact tracing and containment policies were significant for countries with two waves, while closing, economic, and health policies were significant for countries with three waves. Wave-specific analysis for each wave showed that significant health, economic, and containment policies varied across waves of the pandemic. Emergency investment in healthcare was consistently significant among the three groups of countries, while the Stringency index was significant among all waves of the pandemic. These findings may help in making informed decisions regarding whether, which, or when these policies should be intensified or lifted.

Indexed as

Communicable Disease ControlContact TracingCOVID-19GovernmentHealth PolicyHumansSARS-CoV-2

Identifiers

PMID34650119
PMCPMC8516948

What OpenQuestion holds

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LicenceCC BY
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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.