People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic. Using latent profile analysis, we sought to characterize Texas prisons on levels of COVID-19 cases and deaths among incarcerated residents, and COVID-19 cases among prison staff. This observational study was a secondary data analysis of publicly available data from the Texas Department of Criminal Justice (TBDJ) collected from March 1, 2020, until July 24, 2020. This project was completed in collaboration with the COVID Prison Project. We identified relevant profiles from the data: a low-outbreak profile, a high-outbreak profile, and a high-death profile. Additionally, current prison population and level of employee staffing predicted membership in the high-outbreak and high-death profiles when compared with the low-outbreak profile. Housing persons at 85% of prison capacity was associated with lower risk of COVID-19 infection and death. Implementing this 85% standard as an absolute minimum should be prioritized at prisons across the USA.

Background: Multiple large outbreaks of COVID-19 have been documented in prisons and jails across regions of the world, with hazardous environmental conditions amplify the risks of exposure for both incarcerated people and correctional staff. The objectives of this study are to estimate the cumulative prevalence of COVID-19 cases among U.S. prison staff over time and compare it to the prison inmate population and the general U.S. population, overall, and to examine risk of COVID-19 infection among prison staff across jurisdictions. Methods: We use publicly available data (April 22, 2020 to January 15, 2021) to estimate COVID-19 crude case rates per 1000 with 95% confidence intervals over the study period for prison staff, incarcerated population, and general population. We also compare COVID-19 case rates between prison staff and the general population within jurisdictions. Results: Over the study period, prison staff have reported consistently higher rates of COVID-19 compared to the general population, with prison staff case rates more closely mirroring the incarcerated population case rates. The rolling 7-day average case rates for prison staff, prison population, and general population on January 15, 2021 were 196.04 per 1000 (95%CI 194.81, 197.26), 219.16 (95%CI 218.45, 219.86), and 69.80 (95%CI 69.78, 69.83), respectively. There was substantial heterogeneity across jurisdictions, yet in 87% of study jurisdictions, the risk of COVID-19 was significantly greater among prison staff than the general state population. Conclusions: Targeting staff for COVID-19 mitigation strategies is essential to protect the health of people who intersect with the correctional system and to flatten the curve in the surrounding communities.

Background: In 2016, at least 20% of people with opioid use disorder (OUD) were involved in the criminal justice system, with the majority of individuals cycling through jails. Opioid overdose is the leading cause of death and a common cause of morbidity after release from incarceration. Medications for OUD (MOUD) are effective at reducing overdoses, but few interventions have successfully engaged and retained individuals after release from incarceration in treatment. Objective: To assess whether follow-up care in the Transitions Clinic Network (TCN), which provides OUD treatment and enhanced primary care for people released from incarceration, improves key measures in the opioid treatment cascade after release from jail. In TCN programs, primary care teams include a community health worker with a history of incarceration, and they attend to social needs, such as housing, food insecurity, and criminal legal system contact, along with patients' medical needs. Methods and analysis: We will bring together six correctional systems and community health centers with TCN programs to conduct a hybrid type-1 effectiveness/implementation study among individuals who were released from jail on MOUD. We will randomize 800 individuals on MOUD released from seven local jails (Bridgeport, CT; Niantic, CT; Bronx, NY; Caguas, PR; Durham, NC; Minneapolis, MN; Ontario County, NY) to compare the effectiveness of a TCN intervention versus referral to standard primary care to improve measures within the opioid treatment cascade. We will also determine what social determinants of health are mediating any observed associations between assignment to the TCN program and opioid treatment cascade measures. Last, we will study the cost effectiveness of the approach, as well as individual, organizational, and policy-level barriers and facilitators to successfully transitioning individuals on MOUD from jail to the TCN. Ethics and dissemination: Investigation Review Board the University of North Carolina (IRB Study # 19-1713), the Office of Human Research Protections, and the NIDA JCOIN Data Safety Monitoring Board approved the study. We will disseminate study findings through peer-reviewed publications and academic and community presentations. We will disseminate study data through a web-based platform designed to share data with TCN PATHS participants and other TCN stakeholders. Clinical trials.gov registration: NCT04309565.

Prisons are the epicenter of the COVID-19 pandemic. Media reports have focused on whether transfers of incarcerated people between prisons have been the source of outbreaks. Our objective was to examine the relationship between intersystem prison transfers and COVID-19 incidence in a state prison system. We assessed the change in the means of the time-series of prison transfers and their cross-correlation with the time-series of COVID-19 tests and cases. Regression with automatic detection of multiple change-points was used to identify important changes to transfers. There were over 20,000 transfers between the state's prisons from January through October 2020. Most who were transferred (82%), experienced a single transfer. Transfers between prisons are positively related to future COVID-19 case rates but transfers are not reactive to current case rates. To mitigate the spread of COVID-19 in carceral settings, it is crucial for transfers of individuals between facilities to be limited.

The United States has the unenviable distinction of having the highest rate of incarceration and the most people under correctional control—more than 6.7 million people. Although we often refer to this as “mass” incarceration, the criminal legal system’s discriminatory impacts are disproportionately concentrated in Black and Latino communities: one in three Black men and one in six Latino men born in 2001 can expect to go to jail or prison at some point in their lifetime. At this magnitude, mass incarceration is a key structural driver of not only individual and population health but also racial health disparities across numerous health outcomes. Although the role of incarceration in driving many racial health inequities has been long recognized, during the COVID-19 pandemic this attention was amplified because correctional facilities comprise the largest number of single-site cluster outbreaks. Given that Black, Latino, and Native American people are overrepresented in correctional settings, from a population health perspective, these groups will most certainly be most affected by COVID-19 outbreaks in prisons and jails. According to COVID Prison Project data, as of October 2020 more than 10% of the US prison population has been infected with SARS-CoV-2 and more than 1200 people in prison have died from the COVID-19.