Evidence map›Paper›PMID 34277855›Full record

ArticleJournal of arthropod-borne diseases2021

Spatial Distribution of Ticks (Arachniada: Argasidae and Ixodidae) and Their Infection Rate to Crimean-Congo Hemorrhagic Fever Virus in Iran.

Ahmad Ali Hanafi-Bojd, Samin Jafari, Zakkyeh Telmadarraiy, Abbas Abbasi-Ghahramanloo, Eslam Moradi-Asl

Open access · diamondAbstract read
In one paragraph

Article in Journal of arthropod-borne diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Ahmad Ali Hanafi-BojdDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Samin JafariDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Zakkyeh TelmadarraiyDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Abbas Abbasi-GhahramanlooDepartment of Public Health, School of Public Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Eslam Moradi-AslDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRArdabil University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Crimean-Congo Hemorrhagic Fever (CCHF) is one of the most important arthropod-borne viral diseases with a mortality rate of about 30% among humans. The disease, caused by a

methodsIn this study, all studies that were carried out in different regions of Iran from 1979 to 2018 and their results were published in prestigious journals were used to create a database. The distribution of ticks was mapped using ArcMap10.3.

resultsBased on the results, nine genera and 37 species of soft and hard ticks were recorded in Iran. So far, six genera and 16 species of hard and soft ticks were reported to be infected with the CCHF virus. The infection to this virus was reported from 18 out of 31 provinces, with a high rate in Sistan and Baluchistan as well as Khuzestan provinces. The highest levels of CCHF infection belonged to

conclusionThe main vectors of CCHF,

Indexed as

ArgasidaecrimeanDistributionGeographic information systemsHemorrhagic feverIxodidae

Identifiers

PMID34277855
PMCPMC8271239
OpenAlexW3176085953

What OpenQuestion holds

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LicenceCC BY-NC
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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.