scispace - formally typeset
J

J. Ndamba

Publications -  6
Citations -  175

J. Ndamba is an academic researcher. The author has contributed to research in topics: Water quality & Population. The author has an hindex of 4, co-authored 6 publications receiving 160 citations.

Papers
More filters
Journal ArticleDOI

Contamination of drinking water between source and point-of-use in rural households of South Africa and Zimbabwe: implications for monitoring the Millennium Development Goal for water

TL;DR: Although improved sources generally delivered ‘safe’ water at the point-of-supply, 12% of source samples were contaminated and as such were ‘unsafe’ in household storage, and this significant deterioration in microbial quality of water from improved sources was seen in both countries.
Journal ArticleDOI

Defining episodes of diarrhoea: results from a three-country study in Sub-Saharan Africa.

TL;DR: A cohort study of 374 children, aged 9-32 months, in three African countries, which recorded frequency and consistency of stool over a seven-month period, found that non-standard definitions of episode gave estimates of an annualized number of episodes between 38% and 137% of the internationally-accepted definition.
Journal ArticleDOI

Realising the maximum health benefits from water quality improvements in the home: a case from Zaka district, Zimbabwe

TL;DR: In this paper, the authors present the findings from a survey that sought to investigate the quality of water in the home post-collection and any factors that were contributing to the quality.
Journal ArticleDOI

Use of Handheld Computers for Collecting Water Quality Data in Developing Countries

TL;DR: Bar codes are used to track water samples from the field to the laboratory, where total coliforms and Escherichia coli counts are enumerated for each sample as mentioned in this paper.
Journal Article

183. Use of Handheld Computers for Collecting Water Quality Data in Developing Countries

TL;DR: A novel system for recording and storing details of water samples collected from rural African households and the water sources that they use makes use of handheld computers for data entry instead of paper-based records, significantly reducing the lag-time between data collection and analysis.