ArticlePLoS neglected tropical diseases2026
Epidemiological and molecular characterization of Rift Valley fever outbreak in livestock in Burundi, May - November 2022.
Article in PLoS neglected tropical diseases, 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
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An outbreak of Rift Valley fever (RVF) was officially reported for the first time in Burundi on 10th May 2022. The outbreak originated in the northern provinces and progressively spread to other regions of the country. This study presents (i) epidemiological investigations that were carried out through a countrywide emergency response and (ii) the characterization of the genotype of the RVF virus that caused the outbreak through phylogenetic analyses. Field teams visited each affected farm, collected data on observed syndromes, species and number of animals affected, farm's locations, and herd size. Blood, serum and tissue samples were collected from selected clinical cases. Epidemiological data were analyzed using R (version 4.4.2) to determine the spatiotemporal distribution of cases. Mixed effects Poisson regression models were fitted to the data to identify risk factors. A total of 1,739 clinical cases were recorded. Of 100 samples collected and screened using Reverse Transcription Polymerase Chain Reaction (RT-PCR), 36 tested positives. Phylogenetic analyses revealed that the outbreak was caused by an RVFV strain of lineage C, sub-clade C.2.2 of the dominant lineage that was circulating in East Africa, with a close relationship to RVFV that was isolated in Rwanda in 2022. Epidemiological analyses revealed the northeastern region as the epicenter of the outbreak. Multivariable analyses showed that increased RVF cases were significantly associated with high and persistent rainfall and an upsurge in the minimum temperatures that occurred 3-4 months earlier. The analyses conducted provided insights on the risk of RVF in the country. The results would help the development of risk maps and other decision support tools that would be used to manage future risks of the disease.
Indexed as
Identifiers
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.