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. 2021 Aug 9;181(10):1315–1321. doi: 10.1001/jamainternmed.2021.4392

Table 3. Sensitivity Analysis of Factors Associated With COVID-19 Incidence in Massachusetts Prisons, April 21, 2020, to January 11, 2021.

Variable Incidence rate ratio (95% CI)a
Model 1 Model 2 Model 3
1-wk Lag
County-level COVID-19 incidence rate (per 10 cases per 100 000 person-weeks) 1.06 (1.05-1.08) (P < .001) 1.07 (1.05-1.08) (P < .001) 1.06 (1.05-1.07) (P < .001)
Prison population density (per 10-percentage-point difference) 1.16 (1.05-1.29) (P = .004) NA NA
Prison population density
<70% NA 1.00 [Reference] NA
70%-100% NA 5.08 (1.51-17.02) (P = .008) NA
>100% NA 6.97 (2.50-19.41) (P < .001) NA
Single-cell occupancy (per 10-percentage-point difference) NA NA 0.80 (0.71-0.90) (P < .001)
2-wk Lag
County-level COVID-19 incidence rate (per 10 cases per 100 000 person-weeks) 1.06 (1.05-1.08) (P < .001) 1.07 (1.05-1.08) (P < .001) 1.06 (1.05-1.07) (P < .001)
Prison population density (per 10-percentage-point difference) 1.17 (1.05-1.31) (P = .004) NA NA
Prison population density
<70% NA 1.00 [Reference] NA
70%-100% NA 4.39 (1.09-17.73) (P = .04) NA
>100% NA 7.04 (2.58-19.20) (P < .001) NA
Single-cell occupancy (per 10-percentage-point difference) NA NA 0.80 (0.70-0.91) (P = .001)

Abbreviation: NA, not applicable.

a

All estimates derived from generalized estimating equations Poisson regression models. Incarcerated population density is reported as percent of facility design capacity. Model 1: incarcerated population density as a percentage of design capacity modeled as a continuous variable; model 2: incarcerated population density as a percentage of design capacity modeled as a categorical variable; model 3: percentage of incarcerated persons in single-cell units.