Identifying predictors of <i>E. coli</i> in rural household water in sub-Saharan Africa using elimination regression-Reference-Cited by-同舟云学术

Identifying predictors of E. coli in rural household water in sub-Saharan Africa using elimination regression

Published:2024 Issue:5 Volume:10 Page:1147-1159
ISSN:2053-1400
Container-title:Environmental Science: Water Research & Technology
language:en
Short-container-title:Environ. Sci.: Water Res. Technol.

Author:

Fejfar Donald¹²,Tracy Wren³,Kelly Emma¹⁴,Moffa Michelle¹,Bain Robert⁵,Bartram Jamie¹⁶^ORCID,Anderson Darcy¹,Cronk Ryan¹^ORCID

Affiliation:

1. The Water Institute, Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB #7431, Chapel Hill, North Carolina 27599, USA

2. Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 3101 McGavran-Greenberg Hall, Chapel Hill, North Carolina 27599, USA

3. ICF, 2635 Meridian Pkwy Suite 200, Durham, North Carolina, 27713, USA

4. The Water Project, PO Box 3353, Concord, New Hampshire, 03302, USA

5. Regional Office for the Middle East and North Africa, UNICEF, Amman, Jordan

6. School of Civil Engineering, University of Leeds, Leeds, UK

Abstract

Using pooled and multi-country logistic regression models, we investigated factors predicting E. coli in household drinking water in rural sub-Saharan Africa.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/EW/D3EW00915G

Reference72 articles.

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4. Office of the United States Environmental Protection Agency, Drinking Water Regulations , https://www.epa.gov/dwreginfo/drinking-water-regulations , Accessed 1 Feb 2024