Evidence map›Paper›PMID 40230777›Full record

ArticleCureus2025

Impact of Economic Factor, Percent Vaccination, Healthcare Quality, and Population Density on Coronavirus Disease 2019 (COVID-19) Mortality Rates: A Global Analysis in 2023.

Sitthichai Kanokudom, Natchanid Piamsa-Nga, Kantachai Ratanapanich, Kritpaul Prasattongosoth, Monile Suchitbharabitya, Punpiti Piamsa-Nga, Natthinee Sudhinaraset, Sittisak Honsawek, Yong Poovorawan

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

9 authors.

Sitthichai KanokudomCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Natchanid Piamsa-NgaCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Kantachai RatanapanichCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Kritpaul PrasattongosothCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Monile SuchitbharabityaCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Punpiti Piamsa-NgaDepartment of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, THA.
Natthinee SudhinarasetCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Sittisak HonsawekCenter of Excellence in Osteoarthritis and Musculoskeleton, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.
Yong PoovorawanCenter of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, THA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019(COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2(SARS-CoV-2), emerged as a global health crisis in late 2019, triggering unprecedented government actions worldwide. COVID-19 mortality varied based on many factors, with this study focusing on socioeconomic status and healthcare quality across 95 countries. Countries were classified by gross national income (GNI) per capita into high-income (HI), upper-middle-income (UMI), lower-middle-income (LMI), and low-income (LI) countries. Data were collected from databases in 2023, including gross domestic product (GDP) per capita, percent vaccination, infant mortality rate (IMR), and population density. The findings revealed that HI and UMI countries experienced significantly higher mortality rates compared to LMI and LI groups. Economic status, measured by GDP per capita, demonstrated a strong negative correlation with mortality in HI countries (Spearman's

Indexed as

coronavirus disease 2019 (covid-19)gross domestic product (gdp) per capitainfant mortality rate (imr)mortality ratepercent vaccinationpopulation densityrelationship

Identifiers

PMID40230777
PMCPMC11994372

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.