ArticleSpatial and spatio-temporal epidemiology2020
Spatial analysis of COVID-19 clusters and contextual factors in New York City.
Article in Spatial and spatio-temporal epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 127 papers, 2 of them syntheses that pooled it.
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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
127 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review.The Science of the total environment · 2022Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal.PLOS global public health · 2026Article
- COVID-19 testing and mental health service utilization in Ontario: a population-based cohort study.International journal of public health · 2026Article
- Augmenting Missing Individual Social Determinants of Health with Area-Level Social Deprivation Index for Gene-Environment Interaction: Application to Opioid Use Disorder Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Harnessing Socio-Spatial Dynamics for Pandemic Resilience: Evidence from Kozhikode, India.One health (Amsterdam, Netherlands) · 2025Article
- The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.International journal of health geographics · 2025Article
- SARS-CoV-2 Infection and the Risk of New Chronic Conditions: Insights from a Longitudinal Population-Based Study.International journal of environmental research and public health · 2025Article
- An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro.Computational urban science · 2025Article
- Viral Load Suppression in People Living with HIV Before and During the COVID-19 Pandemic in Brooklyn, New York.AIDS and behavior · 2024Article
- Spatiotemporal hierarchical Bayesian analysis to identify factors associated with COVID-19 in suburban areas in Colombia.Heliyon · 2024Article
- Tracing the COVID-19 spread pattern in India through a GIS-based spatio-temporal analysis of interconnected clusters.Scientific reports · 2024Article
- Inequity in Washington state covid-19-related crowdfunding.Social sciences & humanities open · 2024Article
- Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022.PloS one · 2024Article
- Spatiotemporal dynamics of epidemiology diseases: mobility based risk and short-term prediction modeling of COVID-19.Frontiers in public health · 2024Article
- Mapping the pandemic: a review of Geographical Information Systems-based spatial modeling of Covid-19.Journal of public health in Africa · 2023Article
- Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic.International journal of health geographics · 2023Article
- Understanding social risk factors of county-level disparities in COVID-19 tests per confirmed case in South Carolina using statewide electronic health records data.BMC public health · 2023Article
- Tokyo's COVID-19: An urban perspective on factors influencing infection rates in a global city.Sustainable cities and society · 2023Article
- Differential health outcomes of the COVID-19 pandemic among minority populations: An analysis based on Chicago's neighborhoods.Public health challenges · 2023Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying areas with low access to testing and high case burden is necessary to understand risk and allocate resources in the COVID-19 pandemic. Using zip code level data for New York City, we analyzed testing rates, positivity rates, and proportion positive. A spatial scan statistic identified clusters of high and low testing rates, high positivity rates, and high proportion positive. Boxplots and Pearson correlations determined associations between outcomes, clusters, and contextual factors. Clusters with less testing and low proportion positive tests had higher income, education, and white population, whereas clusters with high testing rates and high proportion positive tests were disproportionately black and without health insurance. Correlations showed inverse associations of white race, education, and income with proportion positive tests, and positive associations with black race, Hispanic ethnicity, and poverty. We recommend testing and health care resources be directed to eastern Brooklyn, which has low testing and high proportion positives.
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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.