Risk of COVID-19 infection among prison staff in the United States

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

Agency as the Acquisition of Capital: the role of one-on-one tutoring and mentoring in changing a refugee student's educational trajectory

Current research into the experiences of refugee students in mainstream secondary schools in Australia indicates that for these students, schools are places of social and academic isolation and failure. This article introduces one such student, Lian, who came to Australia as a refugee from Burma, and whom the author tutored and mentored intensively during his final year of schooling. The article provides an empirically derived understanding of how one-on-one tutoring and mentoring became a platform through which this student was able to succeed in a structure which systematically tried to exclude him. Here, agency is conceptualised in terms of Bourdieu's concept of capital. The analysis highlights the ways in which one-on-one tutoring and mentoring provided the necessary platform by which this refugee student was able to acquire the necessary capital that effected a positive change in his educational trajectory

COVID-19 community spread and consequences for prison case rates

Background COVID-19 and mass incarceration are closely intertwined with prisons having COVID-19 case rates much higher than the general population. COVID-19 has highlighted the relationship between incarceration and health, but prior work has not explored how COVID-19 spread in communities have influenced case rates in prisons. Our objective was to understand the relationship between COVID-19 case rates in the general population and prisons located in the same county. Methods Using North Carolina’s (NC) Department of Health and Human Services data, this analysis examines all COVID-19 tests conducted in NC from June-August 2020. Using interrupted time series analysis, we assessed the relationship between substantial community spread (50/100,000 detected in the last seven days) and active COVID-19 case rates (cases detected in the past 14 days/100,000) within prisons. Results From June-August 2020, NC ordered 29,605 tests from prisons and detected 1,639 cases. The mean case rates were 215 and 427 per 100,000 in the general and incarcerated population, respectively. Once counties reached substantial COVID-19 spread, the COVID-19 prison case rate increased by 118.55 cases per 100,000 (95% CI: -3.71, 240.81). Conclusions Community COVID-19 spread contributes to COVID-19 case rates in prisons. In counties with prisons, community spread should be closely monitored. Stringent measures within prisons (e.g., vaccination) and decarceration should be prioritized to prevent COVID-19 outbreaks

Retention strategies among those on community supervision in the South: Lessons learned during the COVID-19 pandemic

OBJECTIVES: Cohort studies must implement effective retention strategies to produce internally valid and generalizable results. Ensuring all study participants are retained, particularly those involved in the criminal legal system, ensures study findings and future interventions will be relevant to this group, who are often lost to follow-up: critical to achieving health equity. Our objective was to characterize retention strategies and describe overall retention among an 18-month longitudinal cohort study of persons on community supervision prior to and during the COVID-19 pandemic. METHODS: We implemented various retention strategy best-practices (e.g., multiple forms of locator information, training study staff on rapport building, study-branded items). During the COVID-19 pandemic, we developed and describe new retention strategies. We calculated overall retention and analyzed differences between those retained and lost to follow-up by demographic characteristics. RESULTS: Prior to the start of the COVID-19 pandemic, 227 participants enrolled across three sites (N = 46 North Carolina; N = 99 Kentucky; N = 82 Florida). Of these, 180 completed the final 18-month visit, 15 were lost to follow-up, and 32 were ineligible. This resulted in an overall retention of 92.3% (180/195). While most participant characteristics did not differ by retention status, a greater proportion of those experiencing unstable housing were lost to follow-up. CONCLUSION: Our findings highlight that when retention strategies are flexible, particularly during a pandemic, high retention is still achievable. In addition to retention best-practices (e.g., frequent requests for updated locator information) we suggest other studies consider retention strategies beyond the study participant (e.g., paying participant contacts) and incentivize on-time study visit completion (e.g., providing a bonus when completed the study visit on time)