Evidence map›Paper›PMID 37153369›Full record

ArticleOne health (Amsterdam, Netherlands)2023

Associations between institutional-social-ecological factors and COVID -19 case-fatality: Evidence from 134 countries using multiscale geographically weighted regression (MGWR).

Xuerui Shi, Gabriel Hoh Teck Ling, Pau Chung Leng, Noradila Rusli, Ak Mohd Rafiq Ak Matusin

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Economic Impact Evaluation of COVID-19 Public Health Management Across Countries.The International journal of health planning and management · 2026
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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.

Xuerui ShiDepartment of Urban and Regional Planning, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
Gabriel Hoh Teck LingDepartment of Urban and Regional Planning, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
Pau Chung LengDepartment of Architecture, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
Noradila RusliDepartment of Urban and Regional Planning, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.
Ak Mohd Rafiq Ak MatusinDepartment of Urban and Regional Planning, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the period in which the Omicron coronavirus variant was rapidly spreading, the impact of the institutional-social-ecological dimensions on the case-fatality rate was rarely afforded attention. By adopting the diagnostic social-ecological system (SES) framework, the present paper aims to identify the impact of institutional-social-ecological factors on the case-fatality rate of COVID-19 in 134 countries and regions and test their spatial heterogeneity. Using statistical data from the Our World In Data website, the present study collected the cumulative case-fatality rate from 9 November 2021 to 23 June 2022, along with 11 country-level institutional-social-ecological factors. By comparing the goodness of fit of the multiple linear regression model and the multiscale geographically weighted regression (MGWR) model, the study demonstrated that the effects of SES factors exhibit significant spatial heterogeneity in relation to the case-fatality rate of COVID-19. After substituting the data into the MGWR model, six SES factors were identified with an R square of 0.470 based on the ascending effect size: COVID-19 vaccination policy, age dependency ratio, press freedom, gross domestic product (GDP), COVID-19 testing policy, and population density. The GWR model was used to test and confirm the robustness of the research results. Based on the analysis results, it is suggested that the world needs to meet four conditions to restore normal economic activity in the wake of the COVID-19 pandemic: (i) Countries should increase their COVID-19 vaccination coverage and maximize COVID-19 testing expansion. (ii) Countries should increase public health facilities available to provide COVID-19 treatment and subsidize the medical costs of COVID-19 patients. (iii) Countries should strictly review COVID-19 news reports and actively publicize COVID-19 pandemic prevention knowledge to the public through a range of media. (iv) Countries should adopt an internationalist spirit of cooperation and help each other to navigate the COVID-19 pandemic. The study further tests the applicability of the SES framework to the field of COVID-19 prevention and control based on the existing research, offering novel policy insights to cope with the COVID-19 pandemic that coexists with long-term human production and life for a long time.

Indexed as

Case-fatality rateCOVID-19Institutional-social-ecological factorsMGWR modelOmicron variantSES framework

Identifiers

PMID37153369
PMCPMC10141798

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LicenceCC BY-NC-ND
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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.