2024
Utilizing social determinants of health to identify most vulnerable neighborhoods–Latent class analysis and GIS map
Jiang Y, Backus K, Camardo M, Morin J, Velazco O, Kershaw T. Utilizing social determinants of health to identify most vulnerable neighborhoods–Latent class analysis and GIS map. Preventive Medicine 2024, 184: 107997. PMID: 38729527, DOI: 10.1016/j.ypmed.2024.107997.Peer-Reviewed Original ResearchSocial determinants of healthTeen birth ratesLatent class analysisDeterminants of healthSocial determinantsBirth rateClass analysisCensus tractsVulnerable neighborhoodsU.S. American Community SurveyTeen pregnancyRenter-occupied housingAmerican Community SurveyLower socioeconomic characteristicsAt-risk neighborhoodsCensus tract levelMultiple social determinantsPublic health practitionersPublic health strategiesLatent class analysis resultsPoisson regression modelsGEE Poisson regression modelsLower povertyLatent classesTeen pregnancy rates
2015
Research note: Greater tree canopy cover is associated with lower rates of both violent and property crime in New Haven, CT
Gilstad-Hayden K, Wallace L, Carroll-Scott A, Meyer S, Barbo S, Murphy-Dunning C, Ickovics J. Research note: Greater tree canopy cover is associated with lower rates of both violent and property crime in New Haven, CT. Landscape And Urban Planning 2015, 143: 248-253. DOI: 10.1016/j.landurbplan.2015.08.005.Peer-Reviewed Original ResearchTotal crimeCrime prevention potentialHigh crime ratesRenter-occupied housingCrime ratesProperty crimeModifiable neighborhood characteristicsEthnic compositionMidsized cityCrimeLarge citiesTree canopy coverageNeighborhood characteristicsNew HavenEducational attainmentHousehold incomeCityHavenMedian household incomeGeneral findingsPrevention potentialHousingSpatial autocorrelationChicagoIncome
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