Transmission models of respiratory infections in carceral settings: A systematic review
Creators: name: Rosen, David L.
name: Powers, Kimberly A.
name: Rice, Dana K.
name: Remch, Molly
name: Jones, Emily P.
name: Edwards, Jessie K.
name: Lessler, Justin
name: Levintow, Sara N.
name: Brinkley-Rubinstein, Lauren
Publisher: name: Elsevier
Year: 2024

description: <p>The prevention and control of infectious diseases in jails and prisons face unique challenges. We conducted a systematic review of transmission models of respiratory infections in these settings. Forty-six studies were identified, with tuberculosis modeled in 24 (52%), SARS-CoV-2 in 20 (43%), influenza in one (2%), and varicella-zoster virus in one (2%). Models were used to estimate intervention impacts in 32 (70%) studies, with the remainder forecasting the status quo or examining theoretical aspects of transmission. Increased attention to calibration, validation, and the practical aspects of interventions could improve translation of model estimates into tangible benefits for vulnerable incarcerated populations. Background The prevention and control of infectious disease outbreaks in carceral settings face unique challenges. Transmission modeling is a powerful tool for understanding and addressing these challenges, but reviews of modeling work in this context pre-date the proliferation of outbreaks in jails and prisons during the SARS-CoV-2 pandemic. We conducted a systematic review of studies using transmission models of respiratory infections in carceral settings before and during the pandemic. Methods We searched PubMed, Embase, Scopus, CINAHL, and PsycInfo to identify studies published between 1970 and 2024 that modeled transmission of respiratory infectious diseases in carceral settings. We extracted information on the diseases, populations, and settings modeled; approaches used for parameterizing models and simulating transmission; outcomes of interest and techniques for model calibration, validation, and sensitivity analyses; and types, impacts, and ethical aspects of modeled interventions. Results Forty-six studies met eligibility criteria, with transmission dynamics of tuberculosis modeled in 24 (52%), SARS-CoV-2 in 20 (43%), influenza in one (2%), and varicella-zoster virus in one (2%). Carceral facilities in the United States were the most common focus (15, 33%), followed by Brazil (8, 17%). Most studies (36, 80%) used compartmental models (vs. individual- or agent-based). Tuberculosis studies typically modeled transmission within a single facility, while most SARS-CoV-2 studies simulated transmission in multiple places, including between carceral and community settings. Half of studies fit models to epidemiological data; three validated model predictions. Models were used to estimate past or potential future intervention impacts in 32 (70%) studies, forecast the status quo (without changing conditions) in six (13%), and examine only theoretical aspects of transmission in eight (17%). Interventions commonly involved testing and treatment, quarantine and isolation, and/or facility ventilation. Modeled interventions substantially reduced transmission, but some were not well-defined or did not consider ethical issues. Conclusion The pandemic prompted urgent attention to transmission dynamics in jails and prisons, but there has been little modeling of respiratory infections other than SARS-CoV-2 and tuberculosis. Increased attention to calibration, validation, and the practical and ethical aspects of intervention implementation could improve translation of model estimates into tangible benefits for the highly vulnerable populations in carceral settings.</p>