ArticleGeoHealth2022
Predictive Intelligence for Cholera in Ukraine?
Article in GeoHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling.Applied and environmental microbiology · 2026Article
- Article
- Infectious Diseases in the Context of the War in Ukraine: Refugee Health Implications in Romania.Healthcare (Basel, Switzerland) · 2025Article
- Machine learning in understanding environmental variability of vibriosis in coastal waters.Applied and environmental microbiology · 2025Article
- Climate change andProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Quantification of Climate Footprints ofGeoHealth · 2024Article
- Environmental Factors Influencing Occurrence of Vibrio parahaemolyticus and Vibrio vulnificus.Applied and environmental microbiology · 2023Article
- Predictive Intelligence for Cholera in Ukraine?GeoHealth · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cholera, an ancient waterborne diarrheal disease, remains a threat to public health, especially when climate/weather processes, microbiological parameters, and sociological determinants intersect with population vulnerabilities of loss of access to safe drinking water and sanitation infrastructure. The ongoing war in Ukraine has either damaged or severely crippled civil infrastructure, following which the human population is at risk of health disasters. This editorial highlights a perspective on using predictive intelligence to combat potential (and perhaps impending) cholera outbreaks in various regions of Ukraine. Reliable and judicious use of existing earth observations inspired mathematical algorithms integrating heuristic understanding of microbiological, sociological, and weather parameters have the potential to save or reduce the disease burden.
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What 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.