Evidence map›Paper›PMID 41452411›Full record

ArticleTropical animal health and production2025

Seroprevalence of Akabane, border, and Rift Valley fever diseases and their risk factors in small ruminants of Fars Province, Southern Iran.

Ali Mohammadi, Maryam Ansari-Lari, Reza Shahriari, Maliheh Masoudian, Solmaz Morovati, Mehdi Asad Sangabi, Reza Mahboobi

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Article in Tropical animal health and production, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ali MohammadiDivision of Virology, Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz, Iran. mohammad@shirazu.ac.ir.ORCID http://orcid.org/0000-0002-5651-3329
Maryam Ansari-LariDepartment of Food Hygiene and Public Health, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Reza ShahriariDivision of Virology, Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Maliheh MasoudianMolecular Department of Central Laboratory, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Solmaz MorovatiDivision of Virology, Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Mehdi Asad SangabiDivision of Virology, Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Reza MahboobiMolecular Department of Central Laboratory, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.

Funding

School of Veterinary Science, Shiraz University 580064
6 · The paper itself

Abstract

The Akabane virus (AKAV), Border disease virus (BDV), and Rift Valley fever virus (RVFV) are significant pathogens of ruminants, causing reproductive and neurological disorders that lead to major economic losses in the livestock industry. This study contributes to global efforts by providing valuable epidemiological insights into these three reproduction-related viruses and associated risk factors from Fars Province, a major livestock-producing area in southern Iran. Blood samples were collected from sheep and goats across 32 cities between January and December 2024. After the primary evaluation, 458 samples were tested for AKAV and BDV, and 366 samples were tested for RVFV antibodies using commercial ELISA kits. Antibodies against AKAV and BDV were detected in 59.17% (95% CI: 54.8–63.8%) and 53.49% (95% CI: 48.9–58.1%) of the samples, respectively, whereas no antibodies against RVFV were detected. The prevalence of AKAV was highest in the northern region of Fars Province (OR = 4.505, 95% CI: 2.372–8.556, p < 0.001). Of the total samples analyzed, 157 (34.4%) tested positive for both viruses. Older animals exhibited significantly higher seroprevalence rates for both AKAV (OR = 1.017, 95% CI: 1.002–1.033, p = 0.023) and BDV (OR = 1.018, 95% CI: 1.006–1.031, p = 0.004). Additionally, the prevalence of BDV was significantly higher in sheep compared to goats (OR = 1.576, 95% CI: 1.003–2.478, p = 0.025). Other factors, including sex, breed, management system, and history of abortion, showed no significant association with infection (P > 0.05). Taken together, this study revealed a high prevalence of AKAV and BDV in Fars Province, suggesting an expansion of viral circulation. Although RVFV antibodies were not detected, the virus’s zoonotic nature and reports from neighboring regions emphasize the importance of continued monitoring.

Indexed as

Border DiseaseBunyaviridae InfectionsGoat DiseasesRift Valley FeverSheep DiseasesAnimalsAntibodies, ViralBorder disease virusEnzyme-Linked Immunosorbent AssayFemaleGoatsIranMaleOrthobunyavirusPrevalenceRift Valley fever virusAntibodies, ViralAkabane virusBorder disease virusFarsIranRift Valley feverRisk factorsSheep and goats

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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.