Impact of Digital Water Monitoring Systems on Disease Prevention in Resource- Constrained Regions

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Abstract

Waterborne diseases remain a major public health challenge in resource-limited regions, where intermittent supply, inadequate treatment, and weak surveillance hinder timely risk detection and response. This study examines how digital water monitoring systems can improve disease prevention by leveraging real-time and near-real-time data to strengthen water safety management in low- and middle-income settings. Drawing on evidence from South Asia and Sub-Saharan Africa, it reviews the use of low-cost sensors, telemetry, automated chlorination, mobile reporting platforms, and data analytics in rural and peri-urban water projects. The analysis explores how digital monitoring reduces delays between measurement, alarm, corrective action, and verification, minimizing periods of undetected contamination or service failure. Using a mixed-methods approach—combining health indicators, program evaluations, and comparative case studies—the study evaluates impacts on microbiological compliance, operational responsiveness, and diarrhoeal disease risk reduction. Findings indicate that event-triggered or continuous monitoring shortens fault-to-fix times, stabilizes disinfectant levels, and enhances accountability among regulators and providers. However, persistent challenges include institutional fragmentation, limited operational funding, data governance issues, and climate-driven source variability. The study argues that integrating digital monitoring within governance frameworks that link data to mandates, financing, and community response mechanisms yields the greatest health benefits. By clarifying how monitoring technologies translate into measurable disease prevention, this research advances knowledge on digital water innovations.

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