Global COVID-19 Pandemic Outcomes: A Cross-Country Comparison Study of Policy Strategies.

James A Thorp, Margery M Thorp, Elise M Thorp, Ajovi Scott-Emuakpor, K E Thorp

Abstract readReview

In one paragraph

Review in Integrative medicine (Encinitas, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

James A ThorpChief of Maternal and Pre-Natal Health, The Wellness Company, Gulf Breeze, FL.

Margery M ThorpLaw Firm of Margery M. Thorp, PLLC, Gulf Breeze, FL.

Elise M ThorpWilliamston, MI.

Ajovi Scott-EmuakporDept. of Pediatrics & Human Development, College of Human Medicine, Michigan State University, East Lansing MI.

K E ThorpDepartment of Radiology, Sparrow Health System, Lansing, MI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper explores global COVID-19 treatment and containment strategies in 108 countries worldwide, specifically the correlation between COVID-19 deaths and the countries' vaccination rates. Comparison of data across states, provinces, territories, and countries relied upon a common method to evaluate data regarding the impact of COVID-19 policies in the last three years. Data from nine different databases were analyzed to determine if there were correlations between the percentage of countrywide COVID-19 deaths/population and countries' percent vaccinated. Secondary outcome measures include the effect of other variables on COVID-19 death rates per country population, including health expenditures and annual income per capita, COVID-19 tests per 1000 people, stringency index (a measure of each country's containment strategies), hydroxychloroquine/ivermectin scores (measure country use), hypertension, obesity, diabetes, and geographic locations. COVID-19 vaccination rates ranged from 0-99% in 108 countries. Bivariate analysis demonstrates the following independent variables to correlate with COVID-19 deaths/population (Spearman correlation coefficient, p value): countrywide COVID-19 vaccination rates (moderate relationship, r=0.39,

Identifiers

PMID38911447

PMCPMC11193410

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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.