Quantitative assessment of exposure to fecal contamination in urban environment across nine cities in low-income and lower-middle-income countries and a city in the United States.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Feb 2022
Historique:
received: 03 09 2021
revised: 23 10 2021
accepted: 23 10 2021
pubmed: 1 11 2021
medline: 15 12 2021
entrez: 31 10 2021
Statut: ppublish

Résumé

During 2014 to 2019, the SaniPath Exposure Assessment Tool, a standardized set of methods to evaluate risk of exposure to fecal contamination in the urban environment through multiple exposure pathways, was deployed in 45 neighborhoods in ten cities, including Accra and Kumasi, Ghana; Vellore, India; Maputo, Mozambique; Siem Reap, Cambodia; Atlanta, United States; Dhaka, Bangladesh; Lusaka, Zambia; Kampala, Uganda; Dakar, Senegal. Assess and compare risk of exposure to fecal contamination via multiple pathways in ten cities. In total, 4053 environmental samples, 4586 household surveys, 128 community surveys, and 124 school surveys were collected. E. coli concentrations were measured in environmental samples as an indicator of fecal contamination magnitude. Bayesian methods were used to estimate the distributions of fecal contamination concentration and contact frequency. Exposure to fecal contamination was estimated by the Monte Carlo method. The contamination levels of ten environmental compartments, frequency of contact with those compartments for adults and children, and estimated exposure to fecal contamination through any of the surveyed environmental pathways were compared across cities and neighborhoods. Distribution of fecal contamination in the environment and human contact behavior varied by city. Universally, food pathways were the most common dominant route of exposure to fecal contamination across cities in low-income and lower-middle-income countries. Risks of fecal exposure via water pathways, such as open drains, flood water, and municipal drinking water, were site-specific and often limited to smaller geographic areas (i.e., neighborhoods) instead of larger areas (i.e., cities). Knowledge of the relative contribution to fecal exposure from multiple pathways, and the environmental contamination level and frequency of contact for those "dominant pathways" could provide guidance for Water, Sanitation, and Hygiene (WASH) programming and investments and enable local governments and municipalities to improve intervention strategies to reduce the risk of exposure to fecal contamination.

Sections du résumé

BACKGROUND BACKGROUND
During 2014 to 2019, the SaniPath Exposure Assessment Tool, a standardized set of methods to evaluate risk of exposure to fecal contamination in the urban environment through multiple exposure pathways, was deployed in 45 neighborhoods in ten cities, including Accra and Kumasi, Ghana; Vellore, India; Maputo, Mozambique; Siem Reap, Cambodia; Atlanta, United States; Dhaka, Bangladesh; Lusaka, Zambia; Kampala, Uganda; Dakar, Senegal.
OBJECTIVE OBJECTIVE
Assess and compare risk of exposure to fecal contamination via multiple pathways in ten cities.
METHODS METHODS
In total, 4053 environmental samples, 4586 household surveys, 128 community surveys, and 124 school surveys were collected. E. coli concentrations were measured in environmental samples as an indicator of fecal contamination magnitude. Bayesian methods were used to estimate the distributions of fecal contamination concentration and contact frequency. Exposure to fecal contamination was estimated by the Monte Carlo method. The contamination levels of ten environmental compartments, frequency of contact with those compartments for adults and children, and estimated exposure to fecal contamination through any of the surveyed environmental pathways were compared across cities and neighborhoods.
RESULTS RESULTS
Distribution of fecal contamination in the environment and human contact behavior varied by city. Universally, food pathways were the most common dominant route of exposure to fecal contamination across cities in low-income and lower-middle-income countries. Risks of fecal exposure via water pathways, such as open drains, flood water, and municipal drinking water, were site-specific and often limited to smaller geographic areas (i.e., neighborhoods) instead of larger areas (i.e., cities).
CONCLUSIONS CONCLUSIONS
Knowledge of the relative contribution to fecal exposure from multiple pathways, and the environmental contamination level and frequency of contact for those "dominant pathways" could provide guidance for Water, Sanitation, and Hygiene (WASH) programming and investments and enable local governments and municipalities to improve intervention strategies to reduce the risk of exposure to fecal contamination.

Identifiants

pubmed: 34718001
pii: S0048-9697(21)06351-8
doi: 10.1016/j.scitotenv.2021.151273
pmc: PMC8651627
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

151273

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Yuke Wang (Y)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: yuke.wang@emory.edu.

Wolfgang Mairinger (W)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Suraja J Raj (SJ)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Habib Yakubu (H)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Casey Siesel (C)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Jamie Green (J)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Sarah Durry (S)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

George Joseph (G)

Water Global Practice, The World Bank, Washington, DC, USA.

Mahbubur Rahman (M)

Environmental Interventions Unit, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.

Nuhu Amin (N)

Environmental Interventions Unit, Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.

Md Zahidul Hassan (MZ)

Data Analysis and Technical Assistance Limited, Dhaka, Bangladesh.

James Wicken (J)

WaterAid, Phnom Penh, Cambodia.

Dany Dourng (D)

WaterAid, Phnom Penh, Cambodia.

Eugene Larbi (E)

Training Research and Networking for Development (TREND), Accra, Ghana.

Lady Asantewa B Adomako (LAB)

Council for Scientific and Industrial Research Water Research Institute, Accra, Ghana.

Ato Kwamena Senayah (AK)

Training Research and Networking for Development (TREND), Accra, Ghana.

Benjamin Doe (B)

Training Research and Networking for Development (TREND), Accra, Ghana.

Richard Buamah (R)

Department of Civil Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Joshua Nii Noye Tetteh-Nortey (JNN)

Development Planning Unit, Kumasi Metropolitan Assembly, Kumasi, Ghana.

Gagandeep Kang (G)

Wellcome Research Laboratory, Christian Medical College, Vellore, India.

Arun Karthikeyan (A)

Wellcome Research Laboratory, Christian Medical College, Vellore, India.

Sheela Roy (S)

Wellcome Research Laboratory, Christian Medical College, Vellore, India.

Joe Brown (J)

School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Bacelar Muneme (B)

Water Supply and Mapping, WE Consult, Maputo, Mozambique.

Seydina O Sene (SO)

Initiative Prospective Agricole et Rurale (IPAR), Dakar, Senegal.

Benedict Tuffuor (B)

Training Research and Networking for Development (TREND), Accra, Ghana.

Richard K Mugambe (RK)

Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda.

Najib Lukooya Bateganya (NL)

Department of Environment and Public Health, Kampala Capital City Authority, Kampala, Uganda.

Trevor Surridge (T)

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Lusaka, Zambia.

Grace Mwanza Ndashe (GM)

Department of Public Health, Lusaka City Council, Lusaka, Zambia.

Kunda Ndashe (K)

Department of Environmental Health, Faculty of Health Science, Lusaka Apex Medical University, Lusaka, Zambia.

Radu Ban (R)

Bill & Melinda Gates Foundation, Seattle, WA, USA.

Alyse Schrecongost (A)

Bill & Melinda Gates Foundation, Seattle, WA, USA.

Christine L Moe (CL)

Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

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