Coping with COVID in corrections: a qualitative study among the recently incarcerated on infection control and the acceptability of wastewater-based surveillance

Four Models of Wastewater-Based Monitoring for SARS-CoV-2 Complementing Individual Screening in Jail Settings

Objectives. To describe 4 unique models of operationalizing wastewater-based surveillance (WBS) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in jails of graduated sizes and different architectural designs. Methods. We summarize how jails of Cook County, Illinois (average daily population [ADP] 6000); Fulton County, Georgia (ADP 3000); Middlesex County, Massachusetts (ADP 875); and Washington, DC (ADP 1600) initiated WBS between 2020 and 2023. Results. Positive signals for SARS-CoV-2 via WBS can herald a new onset of infections in previously uninfected jail housing units. Challenges implementing WBS included political will and realized value, funding, understanding the building architecture, and the need for details in the findings. Conclusions. WBS has been effective for detecting outbreaks of SARS-CoV-2 in different sized jails, those with both dorm- and cell-based architectural design. Public Health Implications. Given its effectiveness in monitoring SARS-CoV-2, WBS provides a model for population-based surveillance in carceral facilities for future infectious disease outbreaks. (Am J Public Health. 2024;114(11):1232-1241. https://doi.org/10.2105/AJPH.2024.307785).

Wastewater threshold as an indicator of COVID-19 cases in correctional facilities for public health response: A modeling study

Although prison facilities are not fully isolated from the communities in which they are located, most of the population is confined and requires high levels of health vigilance and protection. This study aimed to examine the dynamic relationship between facility-level wastewater viral concentrations and the probability of at least one positive COVID-19 case within the facility. The study period was from January 11, 2021 to May 8, 2023. Wastewater samples were collected and analyzed for SARS-CoV-2 (N1) and pepper mild mottle virus (PMMoV) three times weekly across 14 prison facilities in Kentucky (USA). Positive clinical case reports were also provided. A hierarchical Bayesian facility-level temporal model with a latent lagged process was developed. We modeled facility-specific SARS-CoV-2 (N1) normalized by the PMMoV wastewater concentration ratio threshold associated with at least one COVID-19 clinical case at an 80 % probability. The threshold differed among facilities. Across the 14 facilities, our model demonstrates a mean capture rate of 94.95 % via the N1/PMMoV ratio threshold with pts≥0.5. However, as the pts threshold was set higher, such as at ≥0.9, the mean capture rate of the model was reduced to 60 %. This robust performance underscores the effectiveness of the model for accurately detecting the presence of positive COVID-19 cases among incarcerated people. The findings of this study provide a facility-specific threshold model for public health response based on frequent wastewater surveillance.

Towards the outbreak tail, what is the public opinion about wastewater surveillance in the United States?

National opinions on a wide variety of public health topics can change over time and have highly contextual nuances. This study is a follow-up to prior inquiries into the knowledge of wastewater-based epidemiology, privacy concerns surrounding sample collection, and the use of data acquired, along with privacy awareness from an online survey conducted in the metropolitan United States during the winter of 2023. Mentions of wastewater-surveillance-related terms in the media remained common. Towards the outbreak tail in 2023, public support for surveillance of toxins (91%), diseases (91%), terrorist threats (87%), illicit drugs (70%), prescription medications (69%), and gun residue (60%) remained high. There was less support for surveillance of alcohol consumption (49%), mental illness (46%), healthy eating (37%), and lifestyle behaviors (35%). In terms of geographic scale, most respondents supported citywide surveillance (85%) with markedly lower levels of support for smaller (less anonymous) geographic scales covered by specific locations. Wastewater surveillance does not receive the public pushback that other COVID-19-related health system actors have witnessed. Instead, the public supports the expansion of wastewater surveillance as a standard to complement public health tools in other areas of health protection.

Wastewater-based surveillance as a tool for public health action: SARS-CoV-2 and beyond

Wastewater-based surveillance (WBS) has undergone dramatic advancement in the context of the coronavirus disease 2019 (COVID-19) pandemic. The power and potential of this platform technology were rapidly realized when it became evident that not only did WBS-measured SARS-CoV-2 RNA correlate strongly with COVID-19 clinical disease within monitored populations but also, in fact, it functioned as a leading indicator. Teams from across the globe rapidly innovated novel approaches by which wastewater could be collected from diverse sewersheds ranging from wastewater treatment plants (enabling community-level surveillance) to more granular locations including individual neighborhoods and high-risk buildings such as long-term care facilities (LTCF). Efficient processes enabled SARS-CoV-2 RNA extraction and concentration from the highly dilute wastewater matrix. Molecular and genomic tools to identify, quantify, and characterize SARS-CoV-2 and its various variants were adapted from clinical programs and applied to these mixed environmental systems. Novel data-sharing tools allowed this information to be mobilized and made immediately available to public health and government decision-makers and even the public, enabling evidence-informed decision-making based on local disease dynamics. WBS has since been recognized as a tool of transformative potential, providing near-real-time cost-effective, objective, comprehensive, and inclusive data on the changing prevalence of measured analytes across space and time in populations. However, as a consequence of rapid innovation from hundreds of teams simultaneously, tremendous heterogeneity currently exists in the SARS-CoV-2 WBS literature. This manuscript provides a state-of-the-art review of WBS as established with SARS-CoV-2 and details the current work underway expanding its scope to other infectious disease targets.

Mitigation through on-site testing & education among formerly incarcerated individuals against Covid-19 - The MOSAIC study: Design and rationale

BACKGROUND

Many of the largest COVID-19 outbreaks in the United States have occurred at carceral facilities. Criminal legal system (CLS)-involved individuals typically face structural barriers accessing medical care post-release. Improving COVID-19 testing and education for CLS-involved individuals could improve health outcomes for this vulnerable population and the communities to which they return. Community-based organizations (CBO) and community health workers (CHWs) fill care gaps by connecting CLS-involved individuals with essential re-entry services. The MOSAIC study will: 1) test an onsite CHW-led SARS-CoV-2 testing and education intervention in a reentry CBO and 2) model the cost-effectiveness of this intervention compared to standard care.

METHODS

We will recruit 250 CLS-involved individuals who have left incarceration in the prior 90 days. Participants will be randomized to receive onsite Point-of-Care testing and education (O-PoC) or Standard of Care (SoC). Over one year, participants will complete quarterly questionnaires and biweekly short surveys through a mobile application, and be tested for SARS-CoV-2 quarterly, either at the CBO (O-PoC) or an offsite community testing site (SoC). O-PoC will also receive COVID-19 mitigation counseling and education from the CHW. Our primary outcome is the proportion of SARS-CoV-2 tests performed with results received by participants. Secondary outcomes include adherence to mitigation behaviors and cost-effectiveness of the intervention.

DISCUSSION

The MOSAIC study will offer insight into cost effective strategies for SARS-CoV-2 testing and education for CLS-involved individuals. The study will also contribute to the growing literature on CHW's role in health education, supportive counseling, and building trust between patients and healthcare organizations.

"Feeling Trapped in Prison" Due to the COVID-19 Pandemic: Perceptions and Practices among Healthcare Workers and Prison Staff from a Brazilian Maximum Security Unit

The COVID-19 pandemic had several repercussions on prison staff, but the currently available evidence has mainly ignored these effects. This qualitative study aimed to understand the impact of COVID-19 on the prison system through the narratives of health and security professionals, using the methodological framework of the constructivist grounded theory proposed by Charmaz. The sample included 10 healthcare workers and 10 security professionals. Data collection took place between October and November 2022 through individual in-depth interviews. The data were analyzed using the MaxQDA software. Three categories of interrelated data emerged: (1) "Confrontation and disruption" caused by the COVID-19 pandemic in the prison system; (2) "Between disinfodemic and solicitude" referring to the tension between information management and the practice of care centered on the needs of inmates; and, finally, (3) "Reorganization and mitigation strategies during the fight against COVID-19". Continuous education and the development of specific skills are essential to enable professionals to face the challenges and complex demands that arise in prison contexts. The daily routines professionals had previously taken for granted were disrupted by COVID-19. Thus, investing in adequate training and emotional support programs is crucial to promote the resilience and well-being of these professionals, ensuring an efficient and quality response to critical events.

Wastewater Surveillance for SARS-CoV-2 at Long-Term Care Facilities: Mixed Methods Evaluation

BACKGROUND

Wastewater surveillance provided early indication of COVID-19 in US municipalities. Residents of long-term care facilities (LTCFs) experienced disproportionate morbidity and mortality early in the COVID-19 pandemic. We implemented LTCF building-level wastewater surveillance for SARS-CoV-2 at 6 facilities in Kentucky to provide early warning of SARS-CoV-2 in populations considered vulnerable.

OBJECTIVE

This study aims to evaluate the performance of wastewater surveillance for SARS-CoV-2 at LTCFs in Kentucky.

METHODS

We conducted a mixed methods evaluation of wastewater surveillance following Centers for Disease Control and Prevention (CDC) guidelines for evaluating public health surveillance systems. Evaluation steps in the CDC guidelines were engaging stakeholders, describing the surveillance system, focusing the evaluation design, gathering credible evidence, and generating conclusions and recommendations. We purposively recruited stakeholders for semistructured interviews and undertook thematic content analysis of interview data. We integrated wastewater, clinical testing, and process data to characterize or calculate 7 surveillance system performance attributes (simplicity, flexibility, data quality, sensitivity and positive predictive value [PPV], timeliness, representativeness, and stability).

RESULTS

We conducted 8 stakeholder interviews. The surveillance system collected wastewater samples (N=811) 2 to 4 times weekly at 6 LTCFs in Kentucky from March 2021 to February 2022. Synthesis of credible evidence indicated variable surveillance performance. Regarding simplicity, surveillance implementation required moderate human resource and technical capacity. Regarding flexibility, the system efficiently adjusted surveillance frequency and demonstrated the ability to detect additional pathogens of interest. Regarding data quality, software identified errors in wastewater sample metadata entry (110/3120, 3.53% of fields), technicians identified polymerase chain reaction data issues (140/7734, 1.81% of reactions), and staff entered all data corrections into a log. Regarding sensitivity and PPV, using routine LTCF SARS-CoV-2 clinical testing results as the gold standard, a wastewater SARS-CoV-2 signal of >0 RNA copies/mL was 30.6% (95% CI 24.4%-36.8%) sensitive and 79.7% (95% CI 76.4%-82.9%) specific for a positive clinical test at the LTCF. The PPV of the wastewater signal was 34.8% (95% CI 27.9%-41.7%) at >0 RNA copies/mL and increased to 75% (95% CI 60%-90%) at >250 copies/mL. Regarding timeliness, stakeholders received surveillance data 24 to 72 hours after sample collection, with delayed reporting because of the lack of weekend laboratory staff. Regarding representativeness, stakeholders identified challenges delineating the population contributing to LTCF wastewater because of visitors, unknown staff toileting habits, and the use of adult briefs by some residents preventing their waste from entering the sewer system. Regarding stability, the reoccurring cost to conduct 1 day of wastewater surveillance at 1 facility was approximately US $144.50, which included transportation, labor, and materials expenses.

CONCLUSIONS

The LTCF wastewater surveillance system demonstrated mixed performance per CDC criteria. Stakeholders found surveillance feasible and expressed optimism regarding its potential while also recognizing challenges in interpreting and acting on surveillance data.

Four Models of Wastewater-Based Surveillance for SARS-CoV-2 in Jail Settings: How Monitoring Wastewater Complements Individual Screening

Objective

To describe four unique models of implementing Wastewater Based Surveillance (WBS) for SARS-CoV-2 in jails of graduated sizes and differing architectural designs.

Methods

This study summarizes how jails of Cook County (Illinois, average daily population [ADP] 6000), Fulton County (Georgia, ADP 3000, Washington DC (ADP 1600) and Middlesex County (Massachusetts, ADP 875) initiated WBS between 2020 and 2023.

Results

Positive signal for SARS-CoV-2 via WBS can herald new onset of infection in a previously uninfected housing unit of a jail. Challenges in implementing WBS included political will and realized value, funding, understanding of the building architecture, and the need for granularity in the findings.

Conclusions

WBS has been effective for detecting outbreaks of SARS-CoV-2 in differing sized jails, both those with dorm-based and cell-based architectural design.

Policy implications

Given its effectiveness in monitoring SARS-CoV-2, WBS provides a model for population-based surveillance in carceral facilities for future infectious disease outbreaks.

Incarcerated in a Pandemic: How COVID-19 Exacerbated the “Pains of Imprisonment”

Although the exact toll of COVID-19 in U.S. prisons and jails is relatively undetermined, estimates show that deaths due to the virus in the nation's correctional facilities are approximately six times higher than deaths in the general population. During the pandemic, jail and prison structures as well as significant overcrowding made it virtually impossible to institute protective measures against infection in correctional settings. Jail and prison administrators suspended in-person visitation, leaving those incarcerated even further isolated, and their friends and family in fear for the health and safety of their loved ones. The present study examines narratives of individuals who spoke about their experiences while incarcerated during the pandemic. The data for the study were gathered from prison reform advocacy organizations that featured individuals’ stories. The narrative findings provide insight into the traumatic experiences that incarcerated people endured, how institutional failures exacerbated their mistrust of the criminal legal system, and their efforts to cope.