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Prison cell spatial density and infectious and communicable diseases: a systematic review
Paul L Simpson1, Melanie Simpson2, Armita Adily1
1Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
BMJ Open
|July 26, 2019
Summary
Prison crowding, measured by spatial density, shows some association with infectious disease transmission. However, evidence quality is limited, requiring caution in interpretation and further research on mediating factors.
Area of Science:
- Public Health
- Epidemiology
- Criminology
Background:
- Prison crowding, defined as spatial density, is a significant concern in correctional facilities.
- Infectious and communicable diseases pose a substantial risk to incarcerated populations.
- Understanding the link between crowding and disease transmission is crucial for public health interventions.
Purpose of the Study:
- To systematically review the evidence on the association between prison cell spatial density and infectious disease transmission.
- To assess the quality and extent of existing research on this topic.
Main Methods:
- A comprehensive systematic review was conducted, searching multiple databases up to December 2018.
- Studies meeting eligibility criteria reported on spatial density and infectious diseases in adult and juvenile correctional facilities.
- Data extraction and quality appraisal were performed by two independent reviewers using NHMRC guidelines.
Main Results:
- Seven studies were included, with research from Pakistan, Chile, Nigeria, and the USA.
- Infectious disease outcomes included pneumococcal disease, tuberculosis, skin infections, and general contagious diseases.
- Five studies reported significant positive associations, but potential confounding factors limit definitive conclusions. Heterogeneity precluded meta-analysis.
Conclusions:
- The evidence suggests a potential association between prison spatial density and infectious disease transmission.
- Findings should be interpreted with caution due to limitations in study quality and potential biases.
- Future research and policy should investigate mediating factors influencing this relationship.
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