Author: Moise, Imelda K.; Piquero, Alex R.
Title: Geographic disparities in violent crime during the COVID-19 lockdown in Miami-Dade County, Florida, 2018–2020 Cord-id: ziee1fpl Document date: 2021_6_17
ID: ziee1fpl
Snippet: 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 spaceâ€time permutation statistic were used to identify clusters of violent crimes and outliers, and Global M
Document: 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 spaceâ€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.
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