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1.
Am J Public Health ; 112(1): 144-153, 2022 01.
Artículo en Inglés | MEDLINE | ID: covidwho-1841232

RESUMEN

Objectives. To describe associations between neighborhood racial and economic segregation and violence during the COVID-19 pandemic. Methods. For 13 US cities, we obtained zip code-level data on 5 violence outcomes from March through July 2018 through 2020. Using negative binomial regressions and marginal contrasts, we estimated differences between quintiles of racial, economic, and racialized economic segregation using the Index of Concentration at the Extremes as a measure of neighborhood privilege (1) in 2020 and (2) relative to 2018 through 2019 (difference-in-differences). Results. In 2020, violence was higher in less-privileged neighborhoods than in the most privileged. For example, if all zip codes were in the least privileged versus most privileged quintile of racialized economic segregation, we estimated 146.2 additional aggravated assaults (95% confidence interval = 112.4, 205.8) per zip code on average across cities. Differences over time in less-privileged zip codes were greater than differences over time in the most privileged for firearm violence, aggravated assault, and homicide. Conclusions. Marginalized communities endure endemically high levels of violence. The events of 2020 exacerbated disparities in several forms of violence. Public Health Implications. To reduce violence and related disparities, immediate and long-term investments in low-income neighborhoods of color are warranted. (Am J Public Health. 2022;112(1):144-153. https://doi.org/10.2105/AJPH.2021.306540).


Asunto(s)
COVID-19/epidemiología , Violencia con Armas/estadística & datos numéricos , Factores Raciales , Características de la Residencia/clasificación , Segregación Social , Factores Socioeconómicos , Violencia/estadística & datos numéricos , Ciudades/estadística & datos numéricos , Homicidio/estadística & datos numéricos , Humanos , Violación/estadística & datos numéricos , Características de la Residencia/estadística & datos numéricos , Robo/estadística & datos numéricos , Estados Unidos/epidemiología
2.
J Interpers Violence ; 36(9-10): 4899-4915, 2021 05.
Artículo en Inglés | MEDLINE | ID: covidwho-1127656

RESUMEN

During the first months of the COVID-19 pandemic, governments instituted a series of measures to control the spread of the virus. The measures were widely believed to increase women's risk of violent victimization, most of which is by an intimate partner. We examined help-seeking during this period in a large U.S. city and used an interrupted time series analysis to assess the effects of three government interventions on domestic violence and sexual assault hotline calls and on "911" calls regarding domestic violence, assault, and rape. Declaration of an emergency appeared to reduce victim calls to the rape crisis hotline and the few "911" calls about rape. School closure was associated with a reduction in "911" calls about assault and rape and victim calls to the domestic violence hotline. Implementation of stay-at-home orders was associated with a gradual increase in domestic violence hotline calls. Although "911" calls regarding assault fell by nearly half, calls to police for domestic violence were unchanged. In sum, there was a decrease in help-seeking for sexual assault and assault in general but not for domestic violence during the initial phases of the COVID-19 outbreak. The analysis underscores the importance of distinguishing between the violence itself, calls to police, and calls to helplines when claims are made about changes over time in violence against women. The opportunities and constraints for each can differ widely under usual circumstances, circumstances that were altered by public health interventions related to the pandemic.


Asunto(s)
COVID-19/prevención & control , Violencia Doméstica/estadística & datos numéricos , Accesibilidad a los Servicios de Salud , Conducta de Búsqueda de Ayuda , Violencia de Pareja/estadística & datos numéricos , Pandemias/prevención & control , Cuarentena/psicología , Violación/estadística & datos numéricos , Maltrato Conyugal/estadística & datos numéricos , COVID-19/epidemiología , COVID-19/psicología , Violencia Doméstica/psicología , Violencia Doméstica/tendencias , Femenino , Humanos , Violencia de Pareja/psicología , Violencia de Pareja/tendencias , Violación/psicología , SARS-CoV-2 , Maltrato Conyugal/psicología , Maltrato Conyugal/tendencias
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