Fig 1.
Delays to implementation of CATI give rise to natural controls. A regression analysis is used to model the observed incidence of enriched rapid diagnostic test-positive cholera in rings (outcome) as a function of the delay to response. CATI = case-area targeted intervention.
Table 1.
Parameters for the stochastic transmission model.
Table 2.
Parameters for the simulation study.
Fig 2.
Boxplots of the attack rate of cholera cases (per 1000 population, on a log10 scale) categorized by the delay to CATI implementation (in days) using 100,000 rings (with generalized linear model of the association outlined in orange).
Fig 3.
Power estimation by the number of rings.
(A) R0 = 2.0, D = 1.0 (RED), (B) R0 = 2.0, D = 1.5 (BLUE), (C) R0 = 1.5, D = 1.5 (YELLOW). Power thresholds are indicated by the red dashed line (80%) and the grey dashed line (90%). R0, basic reproduction number, D, dispersion coefficient.
Table 3.
Power estimates from main simulations and sensitivity analyses.
Shading indicates the variable that was changed (grey), and where power estimates were farthest from the 80% target (≤69%, in orange), close to the target (≥70 to 79%, in light green), and at or above the target (≥80%, in dark green).