Evidence map›Paper›PMID 42238846›Full record

ArticleNew microbes and new infections2026

Prevalence of tick-borne pathogens in ixodid ticks collected from domestic animals in southeast Iran.

Shahin Seidi, Mina Latifian, Safoura Moradkasani, Ali Ghorbani, Mina Arabian, Mohammad Khalili, Saber Esmaeili

Abstract read
In one paragraph

Article in New microbes and new infections, 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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1 · What the graph read from it

What it found

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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

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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

7 authors.

Shahin SeidiDepartment of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, WHO Collaborating Center for Vector-Borne Diseases, Pasteur Institute of Iran, Tehran, Iran.
Mina LatifianDepartment of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, WHO Collaborating Center for Vector-Borne Diseases, Pasteur Institute of Iran, Tehran, Iran.
Safoura MoradkasaniDepartment of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, WHO Collaborating Center for Vector-Borne Diseases, Pasteur Institute of Iran, Tehran, Iran.
Ali GhorbaniDepartment of Pathobiology and Clinical Sciences, School of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran.
Mina ArabianDepartment of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, WHO Collaborating Center for Vector-Borne Diseases, Pasteur Institute of Iran, Tehran, Iran.
Mohammad KhaliliDepartment of Pathobiology and Clinical Sciences, School of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran.
Saber EsmaeiliDepartment of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, WHO Collaborating Center for Vector-Borne Diseases, Pasteur Institute of Iran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tick-borne pathogens (TBPs) pose a significant threat to livestock production in Kerman Province, Iran. Despite the high prevalence of TBPs, our understanding of specific pathogens circulating within local tick populations remains limited. Furthermore, the potential for co-infections with multiple microorganisms complicates the diagnosis and disease management. This study aimed to investigate the prevalence of TBPs in ticks collected from domestic animals in Kerman province using real-time quantitative PCR (qPCR). Methods: Tick collection was conducted between April and June 2022 from 199 domestic animals (63 cattle, 63 sheep, 63 goats, and 10 dogs) across 65 villages in three counties of Kerman Province, Iran. Collected ticks were subjected to qPCR assays targeting Results: In this study, 707 ixodid ticks was collected included Conclusions: This study demonstrates the presence of multiple tick-borne pathogens of veterinary and public health significance in ruminants from Kerman Province, highlighting the need for further research on tick-borne diseases affecting both animal and human populations in this and surrounding regions.

Indexed as

Coxiella burnetiiEhrlichiaIranIxodid ticksRickettsia

Identifiers

PMID42238846
PMCPMC13226835

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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.