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Miami-Dade: A Case Study of Domestic Violence Arrests During the COVID-19 Pandemic (Higher than expected all over US)

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  • Miami-Dade: A Case Study of Domestic Violence Arrests During the COVID-19 Pandemic (Higher than expected all over US)

    The global health crisis that started early in 2020 has triggered a surge of interest in the effect (if any) of COVID-19 on patterns of domestic violence.[1][1] The first systematic review and meta-analysis examining domestic violence during the pandemic revealed quite a lot of diversity in the approaches used to measure potential effects. Drawing on the time series forecasting literature, this brief report contributes to the growing body of evidence around the issue of domestic violence during the pandemic. Arrest data from Miami-Dade County (US) are leveraged along with a robust approach towards model identification, which is used to generate a suitably accurate forecast against which the observed pandemic period domestic violence data can be compared. The pattern uncovered for Miami-Dade County was similar what was found in other U.S. cities that during the pandemic experienced spikes (+95 CI) in the level of domestic violence arrests that were greater than expected. Interestingly these spikes appeared shortly after dips (−95 CI) in observed arrests fell below the expected level. ### Competing Interest Statement The authors have declared no competing interest. ### Clinical Trial There were no patients in our data, but rather arrest data related to domestic violence arrests. ### Funding Statement No external funding was received for this study. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The type of study required no IRB/oversight body approval as only secondary data on the incidence of arrests were leveraged. No personally identifying information about an offenders was provided just raw counts. All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable. Yes Arrest data for Domestic Violence arrests used for this study have been provided by the Attorney General and can be provided to readers upon request. [1]: #ref-1


    Miami-Dade: A Case Study of Domestic Violence Arrests During the COVID-19 Pandemic

    Justin Kurland, Alex R. Piquero, Nicole Leeper Piquero
    medRxiv 2021.04.20.21255830; doi: https://doi.org/10.1101/2021.04.20.21255830 This article is a preprint and has not been certified by peer review [what does this mean?]. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.


    Abstract

    The global health crisis that started early in 2020 has triggered a surge of interest in the effect (if any) of COVID-19 on patterns of domestic violence.1 The first systematic review and meta-analysis examining domestic violence during the pandemic revealed quite a lot of diversity in the approaches used to measure potential effects. Drawing on the time series forecasting literature, this brief report contributes to the growing body of evidence around the issue of domestic violence during the pandemic. Arrest data from Miami-Dade County (US) are leveraged along with a robust approach towards model identification, which is used to generate a suitably accurate forecast against which the observed pandemic period domestic violence data can be compared. The pattern uncovered for Miami-Dade County was similar what was found in other U.S. cities that during the pandemic experienced spikes (+95 CI) in the level of domestic violence arrests that were greater than expected. Interestingly these spikes appeared shortly after dips (-95 CI) in observed arrests fell below the expected level.



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