Quantitative Multi-pathway Assessment of Exposure to Fecal Contamination for Infants in Rural Ethiopia
Wang, Y.; Yang, Y.; Slanzi, C.; Li, X.; Ojeda, A.; Paro, F.; Deblais, L.; Yakubu, H.; Hassen, B. M.; Game, H.; Roba, K.; Schieber, E.; Ibrahim, A. M.; Wolyie, J.; Hassen, J. Y.; Rajashekara, G.; McKune, S. L.; Havelaar, A. H.; Moe, C.; Liang, S.
Show abstract
In low- and middle-income countries (LMICs), enteric infections pose a significant threat to childrens health. However, understanding the specifics of when, where, and how young children in LMICs are exposed to enteric pathogens and the roles of animal reservoirs, environmental media, and human hosts play during exposure remains limited. This study systematically evaluates infants exposure to E. coli through various pathways in the rural Haramaya woreda of Ethiopia. Between June 2021 and June 2022, we conducted over 1300 hours of structured behavioral observations on 79 infants when aged 4-8 months (Timepoint 1) and 11-15 months (Timepoint 2). Enumerators recorded the infants behavior related to exposure, including when and where it occurred, using the Countee (C) application. Concurrently, we collected 1338 environmental samples from key contact interfaces between infants, other people, and the environment to test for E. coli. We used a competing hazard model for duration-based behaviors, an inhomogeneous Poisson point process model for frequency-based behaviors, and a left-censored lognormal distribution model for E. coli contamination levels. The behavioral and environmental information was then integrated into an agent-based exposure model framework to quantify the exposure to E. coli through different pathways. The infant behavior, which altered the relative importance of different exposure pathways, changed as children grew older. Notably, we observed increased rates of touching behavior (e.g., touching fomites) and soil-pica, increased consumption of solid food, and more time spent on the bare ground at Timepoint 2. The major sources of exposure to E. coli were food and breastfeeding at Timepoint 1 and food and soil at Timepoint 2. This study provides insights for interventions to minimize infants risk of exposure to fecal contamination and subsequent risk of enteric infections, including improved food handling practices, enhanced personal hygiene for breastfeeding caregivers, and education on the risk of soil-pica.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Predictive power of wastewater for nowcasting infectious disease transmission: a retrospective case study of five sewershed areas in Louisville, Kentucky 93%
- Adverse health impacts of cooking with kerosene: A multi-country analysis within the Prospective Urban and Rural Epidemiology Study 93%
- Brick kiln pollution and its impact on health: A systematic review and meta-analysis 92%
Similar papers in this journal
- Station and train surface microbiomes of Mexico City’s metro (subway/underground) 92%
- Contact Tracing Evaluation for COVID-19 Transmission during the Reopening Phase in a Rural College Town 91%
- Optimization of subsampling, decontamination, and DNA extraction of difficult peat and silt permafrost samples 91%
Similar papers in this journal
- Next-generation biomonitoring in a cohort of pregnant women from rural Bangladesh 93%
- Fidelity and adherence to a liquefied petroleum gas stove and fuel intervention: the multi-country Household Air Pollution Intervention Network (HAPIN) trial 92%
- A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments 92%
Similar papers in this journal
- Spatial Heterogeneity Of Neighborhood-Level Water And Sanitation Access In Informal Urban Settlements: A Cross-Sectional Case Study In Beira, Mozambique 93%
- Public toilets have reduced enteric pathogen hazards in San Francisco 93%
- Water, Sanitation, and Women’s Empowerment: A systematic review and qualitative metasynthesis 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.