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Geographic disparities in violent crime during the COVID-19 lockdown in Miami-Dade County, Florida, 2018–2020

ABSTRACT: OBJECTIVES: This study uses two cluster detection techniques to identify clusters of violent crime during the 3 months of the 2020 COVID-19 lockdown in Miami-Dade County compared to that during an equivalent period in 2018 and 2019. METHODS: Violent crime data from the Miami-Dade Central R...

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Detalles Bibliográficos
Autores principales: Moise, Imelda K., Piquero, Alex R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210521/
https://www.ncbi.nlm.nih.gov/pubmed/34155439
http://dx.doi.org/10.1007/s11292-021-09474-x
Descripción
Sumario:ABSTRACT: OBJECTIVES: This study uses two cluster detection techniques to identify clusters of violent crime during the 3 months of the 2020 COVID-19 lockdown in Miami-Dade County compared to that during an equivalent period in 2018 and 2019. METHODS: Violent crime data from the Miami-Dade Central Records Bureau were analyzed. The Local Indicators of Spatial Association statistics and a space‐time permutation statistic were used to identify clusters of violent crimes and outliers, and Global Moran’s I tool was used to assess spatial patterning in violent crime. Neighborhood disadvantage data were obtained from the American Community Survey 5-year estimates linked with arrest locations. RESULTS: Violent crime arrests fell by 7.1% in 2020. Arrests were concentrated in predominantly Black disadvantaged neighborhoods in the northern part, and similar results were produced for core clusters by the two cluster techniques with positive global Moran’s I for all study years. Although accounting for only 17% of the county population, nearly half of violent crime arrests were for Black or African American. Males comprised most violent crime arrests. CONCLUSIONS: Crime prevention and intervention efforts should be focused on both high-risk places and offenders.