Fecal
source tracking (FST) may be useful to assess pathways of
fecal contamination in domestic environments and to estimate the impacts
of water, sanitation, and hygiene (WASH) interventions in low-income
settings. We measured two nonspecific and two human-associated fecal
indicators in water, soil, and surfaces before and after a shared
latrine intervention from low-income households in Maputo, Mozambique,
participating in the Maputo Sanitation (MapSan) trial. Up to a quarter
of households were impacted by human fecal contamination, but trends
were unaffected by improvements to shared sanitation facilities. The
intervention reduced Escherichia coli gene concentrations in soil but did not impact culturable E. coli or the prevalence of human FST markers in
a difference-in-differences analysis. Using a novel Bayesian hierarchical
modeling approach to account for human marker diagnostic sensitivity
and specificity, we revealed a high amount of uncertainty associated
with human FST measurements and intervention effect estimates. The
field of microbial source tracking would benefit from adding measures
of diagnostic accuracy to better interpret findings, particularly
when FST analyses convey insufficient information for robust inference.
With improved measures, FST could help identify dominant pathways
of human and animal fecal contamination in communities and guide the
implementation of effective interventions to safeguard health.