Biological risk in Italian prisons: data analysis from the second to the fourth wave of COVID-19 pandemic

• Published in: Occupational and environmental medicine (London, England) England), 2023-05, Vol.80 (5), p.273-279
• Main Authors: Franchi, Cristiano, Rossi, Riccardo, Malizia, Andrea, Gaudio, Pasqualino, Di Giovanni, Daniele
• Format: Article
• Language: English
• Subjects: COVID-19; COVID-19 - epidemiology; Data Analysis; Differential equations; Environment; Humans; Hygiene; Occupational health; Pandemics; Population (statistical); Prevalence; Prisoners; Prisons; Public health; Regression analysis; Response time; Trends; Vaccination; Viral diseases
• ISSN: 1351-0711; 1470-7926
• DOI: 10.1136/oemed-2022-108599

BackgroundThe management of COVID-19 in Italian prisons triggered considerable concern at the beginning of the pandemic due to numerous riots which resulted in inmate deaths, damages and prison breaks. The aim of this study is to shed some light, through analysis of the infection and relevant disease parameters, on the period spanning from the second to the fourth wave of the outbreak in Italy’s prisons.MethodsReproductive number (Rt) and Hospitalisation were calculated through a Eulerian approach applied to differential equations derived from compartmental models. Comparison between trends was performed through paired t-test and linear regression analyses.ResultsThe infection trends (prevalence and Rt) show a high correlation between the prison population and the external community. Both the indices appear to be lagging 1 week in prison. The prisoners’ Rt values are not statistically different from those of the general population. The hospitalisation trend of inmates strongly correlates with the external population’s, with a delay of 2 weeks. The magnitude of hospitalisations in prison is less than in the external community for the period analysed.ConclusionsThe comparison with the external community revealed that in prison the infection prevalence was greater, although Rt values showed no significant difference, and the hospitalisation rate was lower. These results suggest that the consistent monitoring of inmates results in a higher infection prevalence while a wide vaccination campaign leads to a lower hospitalisation rate. All three indices demonstrate a lag of 1 or 2 weeks in prison. This delay could represent a useful time-window to strengthen planned countermeasures.