Related Experiment Video
Updated: Nov 1, 2025

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
Geographic disparities in violent crime during the COVID-19 lockdown in Miami-Dade County, Florida, 2018-2020
Imelda K Moise1, Alex R Piquero2,3
1Department of Geography and Regional Studies, University of Miami, 1300 Campo Sano Ave, Coral Gables, FL 33124 USA.
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.
Related Concept Videos
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Bias in Epidemiological Studies
Relative Risk
Causality in Epidemiology
Confounding in Epidemiological Studies
Statistical Methods for Analyzing Epidemiological Data

