This is a preprint.
Associations between fecal contamination of the household environment and enteric pathogen detection in children living in Maputo, Mozambique
- PMID: 40162287
- PMCID: PMC11952620
- DOI: 10.1101/2025.03.11.25323794
Associations between fecal contamination of the household environment and enteric pathogen detection in children living in Maputo, Mozambique
Update in
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Associations between Fecal Contamination of the Household Environment and Enteric Pathogen Detection in Children Living in Maputo, Mozambique.Environ Health (Wash). 2025 Apr 11;3(7):757-767. doi: 10.1021/envhealth.4c00283. eCollection 2025 Jul 18. Environ Health (Wash). 2025. PMID: 40704083 Free PMC article.
Abstract
Environmental exposure to enteric pathogens is generally assessed using fecal indicators but relationships between markers of fecal contamination and actual exposure to enteric pathogens remain poorly characterized. We investigated whether Escherichia coli and two human fecal markers (HF183 and Mnif) in urban Mozambican household soil and drinking water were associated with detection in child stool of eight bacteria, three viruses, and three protozoa measured by multiplex reverse-transcription PCR and soil transmitted helminths assessed by microscopy. We used mixed-effects logistic regression with marginal standardization to obtain a pooled estimate of the overall indicator-pathogen relationship while simultaneously estimating pathogen-specific associations that accounted for assessing multiple pathogens per sample. At least one pathogen was detected in 88% (169/192) of child stools. Increasing drinking water E. coli gene concentration was associated with higher Ascaris prevalence, while human HF183 in drinking water was weakly associated with lower prevalence of the most common pathogens but was infrequently detected. No fecal marker in soil was clearly associated with any pathogen. We did not find evidence to support human markers as reliable indicators of enteric pathogen carriage in a high-prevalence domestic setting and recommend targeting enteric pathogens directly.
Keywords: Bayesian g-formula; Water, sanitation, and hygiene (WASH); diarrhea; enteric disease; helminthiasis; marginal standardization; microbial source tracking (MST); molecular pathogen detection.
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