class: center, middle, inverse # A Comparison of 911 and Emergency Hotline Calls for Domestic Violence Before and During COVID-19 Drs. [Tara Richards](https://www.unomaha.edu/college-of-public-affairs-and-community-service/criminology-and-criminal-justice/about-us/tara-richards.php) and [Justin Nix](https://jnix.netlify.app) *School of Criminology and Criminal Justice, University of Nebraska Omaha* [Scott Mourtgos](https://smourtgos.netlify.app/) and [Ian Adams](https://ianadamsresearch.com/) *Department of Political Science, University of Utah* --- class: top # Background - DV-related calls for service to police increased directly after stay-at-home orders<sup>[1]</sup> -- - Most DV victims **do not call police** after incidents of partner violence<sup>[2]</sup> -- - Victims may seek out help from victim service organizations, commonly through an emergency DV hotline<sup>[3]</sup> -- - Victim calls to *emergency DV hotlines* may provide important information on DV trends during COVID-19. --- class: top # Purpose - Examine the **observed trend** in DV calls for service to police and emergency hotlines before and during COVID-19. -- - Estimate the **expected trend** (i.e., counterfactual) in DV calls for service to police and emergency hotlines during COVID-19. -- - Compare **differences** in the observed and expected trends for DV calls for service to police and emergency hotlines during COVID-19. --- class: top # Data - Seven U.S. cities: Baltimore, MD; Cincinnati, OH; Hartford, CT; Orlando, FL; Sacramento, CA; Salt Lake City, UT; and St. Petersburg, FL. -- - Police calls were obtained from the [Police Data Initiative](https://www.policedatainitiative.org/datasets/calls-for-service/). -- - Emergency hotline calls were obtained directly from the victim service agencies. -- - Study period: January 1, 2018 to October 31, 2020; COVID-related period: March 9 to October 31, 2020<sup>[4]</sup> --- class: top # Analyses - **Observed Trend** - Bayesian Structural Time Series (BSTS) models are estimated for police calls for service (CFS) and emergency hotline calls (EHC) in each city using 2018 and 2019 data (i.e., non-COVID period). -- - **Expected Trend** - BSTS models are then used to estimate a counterfactual for CFS and EHC in each jurisdiction between March 9 and October 31, 2020 (i.e., COVID period). -- - **Differences** - mean differences between the observed and expected trends are calculated for the COVID period, providing estimates of the impact on CFS and EHC in each jurisdiction. --- class: top # Findings: Calls for Police Service .pull-left[ ![fig1_ehc](un_women_fig1.jpg) ] .pull-right[ - Increases in police calls were observed in Baltimore, Sacramento, and Salt Lake City. - Increases ranged from 1.64 more calls per day on average to 7.16 more calls per day on average, for **a total of 1030.32 more calls to police** from March 9 to October 31, 2020. ] --- class: top # Findings: Emergency Hotline Calls .pull-left[ ![fig2_ehc](un_women_fig2.jpg) ] .pull-right[ - Increases in the average number of calls to emergency hotlines were observed for Baltimore, Cincinnati, Hartford, Salt Lake City, and St. Petersburg. - These increases ranged from 2.31 more calls per day on average to 4.64 more calls per day on average, for **a total of 1670.85 more calls to emergency hotlines** from March 9 to October 31, 2020. ] --- class: top # Findings: Comparisons - General increases in calls for DV service, but variation across cities in whether increases in calls to police, emergency hotlines, or both. - Sacramento experienced an increase in calls to **police only** while Cincinnati, Hartford, and St. Petersburg experienced increases in calls to **emergency hotlines only.** - Baltimore and Salt Lake City experienced an increase in calls to **both** police and emergency hotlines. - Orlando experienced a decrease in calls to **both** police and emergency hotlines. --- class: top # Discussion - Police calls only tell us part of the story about DV help seeking during COVID-19. -- - Emergency hotlines/advocates shouldered a significant burden. -- - Critical to understand local effects, localized impacts on agencies. -- - As COVID recedes, we cannot forget about the “pandemic within the pandemic” - ongoing economic stressors associated with DV are not easily/quickly solved. --- class: top # Implications Can we develop a culture of better data sharing and usage within/across criminal justice and victim service agencies? - Better understand localized trends, deploy training and resources in real time. -- Can strategic research-practitioner partnerships help domestic violence coordinated community response teams? - Data-driven decisions regarding local prevention and intervention (e.g., pop-up advocacy sites, well-checks for DV “hotspots”). --- class: top, center # Thank you! Dr. Tara N. Richards, [@prof_TNR](https://twitter.com/prof_tnr) Dr. Justin Nix, [@jnixy](https://twitter.com/jnixy) *School of Criminology and Criminal Justice, University of Nebraska Omaha* Scott Mourtgos, Ph.D.(c), [@morty\_s_](https://twitter.com/morty_s_) Ian Adams, Ph.D.(c), [@LiminalMori](https://twitter.com/liminalmori) *Department of Political Science, University of Utah* --- class: top # References [1] Piquero, A.R., Jennings, W.G., Jemison, E., Kaukinen, C., & Knaul, F.M. (2021). Domestic violence during COVID-19: Evidence from a systematic review and meta-analysis. Washington, DC: Council on Criminal Justice. Retrieved from https://covid19.counciloncj.org/2021/02/23/impact-report-covid-19-and-domestic-violence-trends/ [2] Morgan, R. E., & Truman, J. L. (2020). Criminal victimization, 2019. U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics. https://www.bjs.gov/content/pub/pdf/cv19.pdf [3] Logan, T. K., & Valente, R. (2015). Who will help me? Domestic violence survivors speak out about police responses. National Domestic Violence Hotline. http://www.thehotline.org/wp-content/uploads/sites/3/2015/09/NDVH-2015-Law-Enforcement-Survey-Report.pdf [4] Leslie, E., & Wilson, R. (2020). Sheltering in place and domestic violence: Evidence from calls for service during COVID-19. Journal of Public Economics, 189(104241), 104241. https://doi.org/10.1016/j.jpubeco.2020.104241