ArticleInternational journal of environmental research and public health2021
Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Methods for modelling composite indices of access to healthcare facilities: a systematic literature review.Population health metrics · 2025Pooled it
- Spatial and socioeconomic patterns of COVID-19 in transition zones between municipalities in eastern Amazonia.Frontiers in public health · 2025Article
- Spatial relationship between COVID-19 and previous infectious disease outbreaks: Evidence from South Korea.Heliyon · 2023Article
- Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa.International journal of environmental research and public health · 2022Article
- Factors that most expose countries to COVID-19: a composite indicators-based approach.GeoJournal · 2022Article
- Article
- The Effects of Income Level on Susceptibility to COVID-19 and COVID-19 Morbidity/Mortality: A Nationwide Cohort Study in South Korea.Journal of clinical medicine · 2021Article
- Article
- COVID-19 Medical Vulnerability Indicators: A Predictive, Local Data Model for Equity in Public Health Decision Making.International journal of environmental research and public health · 2021Article
- The Collateral Damage of the COVID-19 Outbreak on Mental Health and Psychiatry.International journal of environmental research and public health · 2021Article
- Increased COVID-19 Vaccination Hesitancy and Health Awareness amid COVID-19 Vaccinations Programs in Israel.International journal of environmental research and public health · 2021Article
- Fear of COVID-19 for Individuals and Family Members: Indications from the National Cross-Sectional Study of the EPICOVID19 Web-Based Survey.International journal of environmental research and public health · 2021Article
- Psychosocial impacts of the COVID-19 pandemic among settled women: A longitudinal study.Revista latino-americana de enfermagemArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 10 institutions in 4 countries.
Funding
Abstract
COVID-19 has severely impacted socioeconomically disadvantaged populations. To support pandemic control strategies, geographically weighted negative binomial regression (GWNBR) mapped COVID-19 risk related to epidemiological and socioeconomic risk factors using South Korean incidence data (January 20, 2020 to July 1, 2020). We constructed COVID-19-specific socioeconomic and epidemiological themes using established social theoretical frameworks and created composite indexes through principal component analysis. The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and population mobility, and with lower social distancing, healthcare access, and education. Falling COVID-19 risks and spatial shifts over three consecutive time periods reflected effective public health interventions. This study provides a globally replicable methodological framework and precision mapping for COVID-19 and future pandemics.
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Registered trials
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.