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1.
PLoS One ; 15(7): e0233679, 2020.
Article in English | MEDLINE | ID: mdl-32667923

ABSTRACT

Continuous, safely managed water is critical to health and development, but rural service delivery faces complex challenges in low- and middle-income countries (LMICs). We report the first application of continuous quality improvement (CQI) methods to improve the microbial quality of household water for consumption (HWC) and the functionality of water sources in four rural districts of northern Ghana. We further report on the impacts of interventions developed through these methods. A local CQI team was formed and trained in CQI methods. Baseline data were collected and analyzed to identify determinants of service delivery problems and microbial safety. The CQI team randomized communities, developed an improvement package, iteratively piloted it in intervention communities, and used uptake survey data to refine the package. The final improvement package comprised safe water storage containers, refresher training for community WaSH committees and replacement of missing maintenance tools. This package significantly reduced contamination of HWC (p<0.01), and significant reduction in contamination persisted two years after implementation. Repair times in both intervention and control arms decreased relative to baseline (p<0.05), but differences between intervention and control arms were not significant at endline. Further work is needed to build on the gains in household water quality observed in this work, sustain and scale these improvements, and explore applications of CQI to other aspects of water supply and sanitation.


Subject(s)
Total Quality Management/methods , Water Microbiology , Water Supply/standards , Ghana , Product Packaging , Quality Improvement , Random Allocation , Sanitary Engineering/education , Sanitary Engineering/instrumentation
2.
J Infect Dis ; 218(7): 1164-1168, 2018 08 24.
Article in English | MEDLINE | ID: mdl-29757428

ABSTRACT

Targeted interventions have been delivered to neighbors of cholera cases in major epidemic responses globally despite limited evidence for the impact of such targeting. Using data from urban epidemics in Chad and Democratic Republic of the Congo, we estimate the extent of spatiotemporal zones of increased cholera risk around cases. In both cities, we found zones of increased risk of at least 200 meters during the 5 days immediately after case presentation to a clinic. Risk was highest for those living closest to cases and diminished in time and space similarly across settings. These results provide a rational basis for rapidly delivering targeting interventions.


Subject(s)
Cholera/epidemiology , Disease Outbreaks , Epidemics , Vibrio cholerae/isolation & purification , Chad/epidemiology , Cholera/microbiology , Democratic Republic of the Congo/epidemiology , Humans , Models, Statistical , Risk , Urban Population
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