Evidence map›Paper›PMID 36527269›Full record

ArticleJournal of global health2022

Drivers of COVID-19 policy stringency in 175 countries and territories: COVID-19 cases and deaths, gross domestic products per capita, and health expenditures.

Mohamed F Jalloh, Zangin Zeebari, Sophia A Nur, Dimitri Prybylski, Aasli A Nur, Avi J Hakim, Maike Winters, Laura C Steinhardt, Wangeci Gatei, Saad B Omer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2022. 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
1.5field-weighted citation impact, top 19% of its field
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, 12 citations in OpenAlex.

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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 at 7 institutions in 2 countries.

Mohamed F Jalloh *Center for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Zangin Zeebari *Department of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Sophia A NurCenter for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Dimitri PrybylskiCenter for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Aasli A NurDepartment of Sociology, University of Washington, Seattle, Washington, USA.
Avi J HakimCenter for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Maike WintersDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Laura C SteinhardtCenter for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Wangeci GateiCenter for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Saad B OmerInstitute for Global Health, Yale University, New Haven, Connecticut, USA.
Noel T BrewerDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Helena NordenstedtDepartment of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Centers for Disease Control and Prevention · USCenter for Global Health · USKarolinska Institutet · SEUNC Lineberger Comprehensive Cancer CenterUniversity of Washington · USYale New Haven Health System · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
T32 Data Science and Demography Training BSSRT32HD101442 · NICHD · UNIVERSITY OF WASHINGTON · PI Zack W Almquist, SARA R. CURRAN · 2020 to 2026
$2.0M
NCATS NIH HHS UL1 TR001863NICHD NIH HHS P2C HD042828NICHD NIH HHS T32 HD101442
6 · The paper itself

Abstract

Background: New data on COVID-19 may influence the stringency of containment policies, but these potential effect are not understood. We aimed to understand the associations of new COVID-19 cases and deaths with policy stringency globally and regionally. Methods: We modelled the marginal effects of new COVID-19 cases and deaths on policy stringency (scored 0-100) in 175 countries and territories, adjusting for gross domestic product (GDP) per capita and health expenditure (% of GDP), and public expenditure on health. The time periods examined were March to August 2020, September 2020 to February 2021, and March to August 2021. Results: Policy response to new cases and deaths was faster and more stringent early in the COVID-19 pandemic (March to August 2020) compared to subsequent periods. New deaths were more strongly associated with stringent policies than new cases. In an average week, one new death per 100 000 people was associated with a stringency increase of 2.1 units in the March to August 2020 period, 1.3 units in the September 2020 to February 2021 period, and 0.7 units in the March to August 2021 period. New deaths in Africa and the Western Pacific were associated with more stringency than in other regions. Higher health expenditure as a percentage of GDP was associated with less stringent policies. Similarly, higher public expenditure on health by governments was mostly associated with less stringency across all three periods. GDP per capita did not have consistent patterns of associations with stringency. Conclusions: The stringency of COVID-19 policies was more strongly associated with new deaths than new cases. Our findings demonstrate the need for enhanced mortality surveillance to ensure policy alignment during health emergencies. Countries that invest less in health or have a lower public expenditure on health may be inclined to enact more stringent policies. This new empirical understanding of COVID-19 policy drivers can help public health officials anticipate and shape policy responses in future health emergencies.

Indexed as

COVID-19Health ExpendituresEmergenciesGross Domestic ProductHumansPandemicsPolicy

Identifiers

PMID36527269
PMCPMC9758449
OpenAlexW4312129266

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.