ReviewGlobal health, epidemiology and genomics2025
Cholera Outbreak in Nigeria: History, Review of Socioeconomic and Meteorological Drivers, Diagnostic Challenges, and Artificial Intelligence Integration.
Review in Global health, epidemiology and genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Strengthening disaster preparedness and health security in Niger state, Nigeria through a WHO STAR-based multi-hazard risk assessment.Scientific reports · 2026Article
- Recent epidemiological and management approaches for cholera in India.Proceedings (Baylor University. Medical Center) · 2026Review
- Cholera in Nigeria: a five-decade review of outbreak dynamics and health system responses.Journal of health, population, and nutrition · 2025Review
- Risk assessment of cholera outbreaks in Eastern Visayas, Philippines, 2024.Western Pacific surveillance and response journal : WPSARArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic disparities, poor sanitation, and environmental factors such as recurrent flooding. This narrative review examines cholera outbreaks in Nigeria, exploring epidemiological trends, socioeconomic and meteorological drivers, and advancements in diagnostic technologies. Emphasis is placed on the role of artificial intelligence (AI) in transforming cholera management through predictive modeling, early detection, and resource optimization. Rapid diagnostic tests (RDTs), molecular diagnostics, and biosensors are highlighted as tools for enhancing surveillance and improving outbreak response. Despite these advancements, Nigeria faces significant challenges, including inadequate laboratory infrastructure, insufficient environmental monitoring, and limited access to diagnostic tools in rural areas. Recommendations include strengthening diagnostic capacity, integrating AI-driven tools, and implementing proactive environmental surveillance. The manuscript underscores the importance of coordinated efforts among federal and state health agencies, international partners, and local communities to address the persistent cholera burden. By leveraging these strategies, Nigeria can improve its outbreak preparedness and mitigate the morbidity and mortality associated with cholera. This review provides actionable insights for public health interventions and policy-making, offering a forward-looking perspective on combating cholera through innovation and collaboration.
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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.