ArticlePloS one2020
Assessing COVID-19 risk, vulnerability and infection prevalence in communities.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 40 citations in OpenAlex.
- Spatial analysis of COVID-19 incidence and mortality rates in northwest iran for future epidemic preparedness.Scientific reports · 2025Article
- Disproportionate impact of the COVID-19 pandemic on socially vulnerable communities: the case of Jane and Finch in Toronto, Ontario.Frontiers in public health · 2025Article
- Neighborhood Ecologies, Cases, and Deaths during the Beginning of the COVID-19 Pandemic: Lessons for Current and Future Epidemics?Southern medical journal · 2024Article
- The Lag -Effects of Air Pollutants and Meteorological Factors on COVID-19 Infection Transmission and Severity: Using Machine Learning Techniques.Journal of research in health sciences · 2024Article
- State variation in neighborhood COVID-19 burden across the United States.Communications medicine · 2024Article
- Associations of COVID-19 Hospitalizations, ICU Admissions, and Mortality with Black and White Race and Their Mediation by Air Pollution and Other Risk Factors in the Louisiana Industrial Corridor, March 2020-August 2021.International journal of environmental research and public health · 2023Article
- Community vulnerability to the COVID-19 pandemic: A narrative synthesis from an ecological perspective.Journal of global health · 2022Article
- Examining longitudinal disparities in COVID-19 prevalence in the U.S.: a county level growth rate perspective.Annals of medicine · 2022Article
- Community resilience to pandemics: An assessment framework developed based on the review of COVID-19 literature.International journal of disaster risk reduction : IJDRR · 2022Review
- Assessment of community vulnerability during the COVID-19 pandemic: Hong Kong as a case study.International journal of applied earth observation and geoinformation : ITC journal · 2022Article
- Combining rank-size and k-means for clustering countries over the COVID-19 new deaths per million.Chaos, solitons, and fractals · 2022Article
- Assessing Response Readiness to Health Emergencies: A Spatial Evaluation of Health and Socio-Economic Justice in Pakistan.Social indicators research · 2022Article
- Static Socio-Ecological COVID-19 Vulnerability Index and Vaccine Hesitancy Index for England.The Lancet regional health. Europe · 2022Article
- An exploration of factors characterising unusual spatial clusters of COVID-19 cases in the East Midlands region, UK: A geospatial analysis of ambulance 999 data.Landscape and urban planning · 2022Article
- An evaluative model for assessing pandemic resilience at the neighborhood level: The case of Tehran.Sustainable cities and society · 2021Article
- Spatial spillover and COVID-19 spread in the U.S.BMC public health · 2021Article
- Spatio-temporal patterns of the COVID-19 pandemic, and place-based influential factors at the neighborhood scale in Tehran.Sustainable cities and society · 2021Article
- The exposure risk to COVID-19 in most affected countries: A vulnerability assessment model.PloS one · 2021Article
- People with Disabilities and Other Forms of Vulnerability to the COVID-19 Pandemic: Study Protocol for a Scoping Review and Thematic Analysis.Archives of rehabilitation research and clinical translation · 2020Article
- Global and Temporal COVID-19 Risk Evaluation.Frontiers in public health · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe spread of coronavirus in the United States with nearly five and half million confirmed cases and over 170,000 deaths has strained public health and health care systems. While many have focused on clinical outcomes, less attention has been paid to vulnerability and risk of infection. In this study, we developed a planning tool that examines factors that affect vulnerability to COVID-19.
methodsAcross 46 variables, we defined five broad categories: 1) access to medical services, 2) underlying health conditions, 3) environmental exposures, 4) vulnerability to natural disasters, and 5) sociodemographic, behavioral, and lifestyle factors. The developed tool was validated by comparing the estimated overall vulnerability with the real-time reported normalized confirmed cases of COVID-19. ANALYSIS: A principal component analysis was undertaken to reduce the dimensions. In order to identify vulnerable census tracts, we conducted rank-based exceedance and K-means cluster analyses.
resultsAll of the 5 vulnerability categories, as well as the overall vulnerability, showed significant (P-values <<0.05) and relatively strong correlations (0.203<ρ<0.57) with the normalized confirmed cases of COVID-19 at the census tract level. Our study showed a total of 722,357 (~17% of the County population) people, including 171,403 between the ages of 45-65 (~4% of County's population), and 76,719 seniors (~2% of County population), are at a higher risk based on the aforementioned categories. The exceedance and K-means cluster analysis demonstrated that census tracts in the northeastern, eastern, southeastern and northwestern regions of the County are at highest risk.
conclusionPolicymakers can use this planning tool to identify neighborhoods at high risk for becoming hot spots; efficiently match community resources with needs, and ensure that the most vulnerable have access to equipment, personnel, and medical interventions.
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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.