Fig 1.
Custom map produced by the authors using MapInfo Professional v15.0.2 (Pitney Bowes Software Inc. 2015, Stamford, CT; https://www.pitneybowes.com) geographic information system mapping software. Site location data were acquired by the study team using global positioning system (GPS). Baseline spatial data were obtained from the GADM database of Global Administrative Areas (https://gadm.org) under a CC-BY 4.0 license [15].
Fig 2.
Flow chart illustrating participant enrolment and surveillance reporting workflows throughout the study period.
Table 1.
Participant demographics.
Table 2.
Description of study patients reporting at least one case of diarrhea.
Table 3.
Diarrhea case incidence rates by category (per 1000 per year).
Table 4.
Summary of stool specimen sample characteristics.
Table 5.
Pathogens identified by laboratory testing type and stool specimen sample characteristics.
Table 6.
Cox survival regression model of likelihood of acquiring diarrhea.
Fig 3.
Diarrhea incidence (person per thousand population) and event (cases per thousand population) rates over the course of the study (Q3 2012 to Q1 2018).