ArticlePeerJ2021
Geographic disparities and socio-demographic predictors of pertussis risk in Florida.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States.Infectious Disease Modelling · 2026Article
- Pertussis resurgence after the COVID-19 pandemic in four Western Pacific Countries and the USA, highlighting the 2025 outbreak in Japan.Scientific reports · 2026Article
- A budget impact analysis of adult immunization with tetanus, diphtheria, and pertussis vaccination for the prevention of pertussis in at-risk populations in Colombia.Human vaccines & immunotherapeutics · 2025Article
- Resurgence of pertussis: Epidemiological trends, contributing factors, challenges, and recommendations for vaccination and surveillance.Human vaccines & immunotherapeutics · 2025Review
- Childhood Vaccination Practices and Parental Hesitancy Barriers in Rural and Urban Primary Care Settings.Journal of community health · 2023Article
- User perceptions and preferences for GeoHealth tools: A qualitative focus group study of non-expert and expert users.Digital healthArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPertussis is a toxin-mediated respiratory illness caused by
methodsPertussis data covering the time period 2010-2018 were obtained from Florida HealthCHARTS web interface. Spatial patterns and temporal changes in geographic distribution of pertussis risk were assessed using county-level choropleth maps for the time periods 2010-2012, 2013-2015, 2016-2018 and 2010-2018. Tango's flexible spatial scan statistics were used to identify high-risk spatial clusters which were displayed in maps. Ordinary least squares (OLS) regression was used to identify significant predictors of county-level risk. Residuals of the OLS model were assessed for model assumptions including spatial autocorrelation.
resultsCounty-level pertussis risk varied from 0 to 116.31 cases per 100,000 people during the study period. A total of 11 significant (
conclusionThere is evidence that geographic disparities exist and have persisted over time in Florida. This study highlights the application and importance of Geographic Information Systems (GIS) technology and spatial statistical/epidemiological tools in identifying areas of highest disease risk so as to guide resource allocation to reduce health disparities and improve health for all.
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What OpenQuestion holds
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.