SynthesisEcoHealth2026
Predicting the Global Distribution of Vibrio vulnificus Under Changing Climate Scenarios.
Synthesis in EcoHealth, 2026. 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
No grant is acknowledged in the PubMed record.
Abstract
Vibrio vulnificus is a Gram-negative bacterium and an emerging pathogen globally distributed in brackish and marine waters. It can be transmitted to humans through contaminated food, which causes primary septicemia, or through wound exposure, causing necrotizing fasciitis. Increased abundance and range expansion have recently been associated with climate change. Further understanding of the spatial epidemiology of V. vulnificus is necessary, and species distribution modeling is a technique to correlate all the factors related to the spread of V. vulnificus. Through meta-analysis aided by Rayyan, extraction of environmental variables from Bio-ORACLE, and global mapping using QGIS and MaxEnt, a global model of V. vulnificus suitability is projected under current and future climate scenarios. The model indicates that sea surface minimum chlorophyll-a, mean dissolved oxygen, mean pH, and mean salinity are good predictors of V. vulnificus occurrence, with minimum chlorophyll-a and mean salinity having the greatest percent contribution at 53.3 and 31.6, respectively. Specific geographic locations with moderate to high V. vulnificus suitability include the west coast of Colombia, the coast of Uruguay, the northeastern coast of Brazil, the coast of Maryland and Louisiana, USA, the coast of China, the Black Sea, the south coast of South Africa, and the coast of Poland and Lithuania. A northward shift in V. vulnificus populations is observed due to climate change driven by plankton migration and decreasing salinity. These findings highlight the potential of these suitability maps for future V. vulnificus surveillance, and disease protection and control.
Indexed as
Identifiers
41882458What 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.