Evidence map›Paper›PMID 42082963›Full record

SynthesisBMC veterinary research2026

Global prevalence and epidemiological dynamics of bovine ephemeral fever: a misclassification-adjusted bayesian meta-analysis.

Mobina Payami, Mohammad Erfan Aghighi, Narges Safari, Tania Akbari, Arghavan Sayahi, Parisa Izadkhah Shourehdeli, Mobina Pato, Arman Abdous, Farzane Shams

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mobina Payami *Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Alborz, Iran.ORCID http://orcid.org/0009-0005-6203-8228
Mohammad Erfan AghighiDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Alborz, Iran.ORCID http://orcid.org/0009-0009-5800-1528
Narges SafariDepartment of Veterinary Medicine, Garmsar Branch, Islamic Azad University, Semnan, Iran.ORCID http://orcid.org/0009-0007-0672-1035
Tania AkbariSchool of Pharmaceutical Sciences, Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0000-6353-2758
Arghavan SayahiDepartment of Clinical Sciences, Faculty of Veterinary Medicine, SR.C, Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0009-6514-9985
Parisa Izadkhah ShourehdeliDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Alborz, Iran.
Mobina PatoFaculty of Veterinary Medicine, SR.C, Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0001-0586-1104
Arman AbdousSchool of Public Health, Tehran University of Medical Sciences, Tehran, Iran. armanabds1374@gmail.com.ORCID http://orcid.org/0000-0001-7441-7413
Farzane Shams *Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0003-1367-4779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBovine ephemeral fever (BEF) is an economically important yet under-characterized arboviral disease of cattle and water buffalo, with substantial impacts on productivity and herd health across tropical and subtropical regions. Despite decades of surveillance, global prevalence estimates remain uncertain due to pronounced diagnostic heterogeneity and uneven geographic coverage.

methodsWe conducted a systematic review and Bayesian hierarchical meta-analysis of BEF serological and molecular prevalence data. Fifty-two studies published between 1967 and 2025 from 19 countries were included in the systematic review, of which laboratory-confirmed data from 16 countries contributed to quantitative meta-analysis and Bayesian modelling, representing 335,754 bovines. Observed prevalence estimates were corrected for imperfect diagnostic sensitivity and specificity using a misclassification-adjusted Bayesian framework, which improves accuracy by accounting for false positives and false negatives and harmonizing prevalence estimates across diagnostic methods, including differences between serological assays that measure cumulative exposure and molecular assays that detect short-lived active infection, and spatiotemporal models were applied to reconstruct national trends.

resultsAfter correcting for diagnostic misclassification, the global true seroprevalence of BEF was estimated at 0.33. The corresponding misclassification-adjusted prevalence of active infection was 0.241; however, hierarchical modelling of outbreak-concentrated PCR and virus-isolation data produced a higher posterior mean of 0.56, reflecting the clustering of molecular sampling during epidemic periods. Marked geographic heterogeneity was observed, with posterior seroprevalence approaching 0.84 in Pakistan and Turkey, compared with substantially lower inferred immunity in Israel and Australia. Spatiotemporal analyses revealed declining long-term exposure in China and Australia, whereas recurrent outbreak-driven transmission persisted in parts of the Middle East and South Asia. Shifts in diagnostic practices over time, together with ongoing viral lineage diversification, further contributed to regional variation in reported prevalence.

conclusionsThis study provides the first global, misclassification-adjusted synthesis of BEF epidemiology. The findings highlight the importance of standardized diagnostic protocols, enhanced genomic surveillance, and regionally targeted control strategies, as well as providing a solid quantitative baseline for future epidemiological assessment and policy development aimed at reducing the global burden of BEF.

Indexed as

Ephemeral FeverAnimalsBayes TheoremCattleEphemeral Fever Virus, BovinePrevalenceSeroepidemiologic StudiesBayesian hierarchical modelBovine ephemeral feverCattle healthMeta-analysisSeroprevalence

Identifiers

PMID42082963
PMCPMC13289255

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Registered trials

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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.