ReviewJournal of water and health2025
Navigating the complex landscape of waterborne disease research.
Review in Journal of water and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Waterborne pathogens and associated diseases continue to pose a significant global health challenge, requiring effective monitoring, detection, and treatment strategies. This review examines the current state of waterborne pathogen management, highlighting persistent issues and recent advancements. Here, we review cutting-edge detection methods and treatment technology, emphasizing their roles in water safety and outbreak prevention. The impact of climate change on waterborne pathogen dynamics is explored, alongside a discussion of interdisciplinary research approaches. We also aimed to investigate the crucial relationship between waterborne disease control and Sustainable Development Goals (SDGs), focusing on community engagement, well-being, water sanitation, public health policies, and international cooperation. The PRISMA protocol systematic process was used to filter papers for this study and carry out the review process. Machine learning and remote sensing techniques are promising features in the pathogen detection field. SDGs 3, 6, 11, 13, and 17 are the most closely interrelated with waterborne diseases. This review provides an in-depth overview of waterborne pathogen management, contributing to improved global water quality and public health strategies. This integrated approach aims to enhance health outcomes and promote resilience against waterborne diseases, particularly for vulnerable communities.
Indexed as
Identifiers
40018961What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.