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Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al.
COVID-19 has caused a wave of research publications in academic and pre-print outlets which have resulted in several high-profile retractions. While the breadth of emerging research has been instrumental in understanding and curbing the global pandemic in near real-time, unfortunately manuscripts wi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538538/ https://www.ncbi.nlm.nih.gov/pubmed/33041617 http://dx.doi.org/10.1007/s12103-020-09574-w |
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author | Reingle Gonzalez, Jennifer M. Molsberry, Rebecca Maskaly, Jonathan Jetelina, Katelyn K. |
author_facet | Reingle Gonzalez, Jennifer M. Molsberry, Rebecca Maskaly, Jonathan Jetelina, Katelyn K. |
author_sort | Reingle Gonzalez, Jennifer M. |
collection | PubMed |
description | COVID-19 has caused a wave of research publications in academic and pre-print outlets which have resulted in several high-profile retractions. While the breadth of emerging research has been instrumental in understanding and curbing the global pandemic in near real-time, unfortunately manuscripts with major methodological challenges have fallen through the cracks. In this perspective, we illustrate this issue in light of a recent manuscript by Piquero et al. (2020). In the study, a statistically significant association between stay-at-home orders and family violence was not detected; however, the authors widely disseminated a “12.5% increase in family violence” offenses to a variety of media outlets. This negligent dissemination of inaccurate research findings has important implications for policy and the virus mitigation efforts, which might urge policymakers to terminate stay-at-home orders in an effort to reduce family violence and other social risk factors. Changes may ultimately result in more COVID-related deaths as stay-at-home orders are prematurely and inappropriately lifted to prevent purported injuries in the home. Therefore, the widespread propagation of these claims in the absence of scientific evidence of an increase has great potential to cause harm. |
format | Online Article Text |
id | pubmed-7538538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-75385382020-10-07 Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. Reingle Gonzalez, Jennifer M. Molsberry, Rebecca Maskaly, Jonathan Jetelina, Katelyn K. Am J Crim Justice Article COVID-19 has caused a wave of research publications in academic and pre-print outlets which have resulted in several high-profile retractions. While the breadth of emerging research has been instrumental in understanding and curbing the global pandemic in near real-time, unfortunately manuscripts with major methodological challenges have fallen through the cracks. In this perspective, we illustrate this issue in light of a recent manuscript by Piquero et al. (2020). In the study, a statistically significant association between stay-at-home orders and family violence was not detected; however, the authors widely disseminated a “12.5% increase in family violence” offenses to a variety of media outlets. This negligent dissemination of inaccurate research findings has important implications for policy and the virus mitigation efforts, which might urge policymakers to terminate stay-at-home orders in an effort to reduce family violence and other social risk factors. Changes may ultimately result in more COVID-related deaths as stay-at-home orders are prematurely and inappropriately lifted to prevent purported injuries in the home. Therefore, the widespread propagation of these claims in the absence of scientific evidence of an increase has great potential to cause harm. Springer US 2020-10-07 2020 /pmc/articles/PMC7538538/ /pubmed/33041617 http://dx.doi.org/10.1007/s12103-020-09574-w Text en © Southern Criminal Justice Association 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Reingle Gonzalez, Jennifer M. Molsberry, Rebecca Maskaly, Jonathan Jetelina, Katelyn K. Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. |
title | Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. |
title_full | Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. |
title_fullStr | Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. |
title_full_unstemmed | Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. |
title_short | Trends in Family Violence Are Not Causally Associated with COVID-19 Stay-at-Home Orders: a Commentary on Piquero et al. |
title_sort | trends in family violence are not causally associated with covid-19 stay-at-home orders: a commentary on piquero et al. |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538538/ https://www.ncbi.nlm.nih.gov/pubmed/33041617 http://dx.doi.org/10.1007/s12103-020-09574-w |
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