Evidence map›Paper›PMID 35110661›Full record

ArticleScientific reports2022

Ecological niche modeling predicting the potential distribution of African horse sickness virus from 2020 to 2060.

Ayalew Assefa, Abebe Tibebu, Amare Bihon, Alemu Dagnachew, Yimer Muktar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 20 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 1 institution in 1 country.

Ayalew AssefaDepartment of Veterinary Medicine, Woldia University, Woldia, Ethiopia. hayall2020@gmail.com.
Abebe TibebuSekota Dryland Agricultural Research Center, Sekota, Ethiopia.
Amare BihonDepartment of Veterinary Medicine, Woldia University, Woldia, Ethiopia.
Alemu DagnachewSekota Dryland Agricultural Research Center, Sekota, Ethiopia.
Yimer MuktarDepartment of Veterinary Medicine, Woldia University, Woldia, Ethiopia.
Woldia University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African horse sickness is a vector-borne, non-contagious and highly infectious disease of equines caused by African horse sickness viruses (AHSv) that mainly affect horses. The occurrence of the disease causes huge economic impacts because of its high fatality rate, trade ban and disease control costs. In the planning of vectors and vector-borne diseases like AHS, the application of Ecological niche models (ENM) used an enormous contribution in precisely delineating the suitable habitats of the vector. We developed an ENM to delineate the global suitability of AHSv based on retrospective outbreak data records from 2005 to 2019. The model was developed in an R software program using the Biomod2 package with an Ensemble modeling technique. Predictive environmental variables like mean diurnal range, mean precipitation of driest month(mm), precipitation seasonality (cv), mean annual maximum temperature (

Indexed as

African Horse SicknessAfrican Horse Sickness VirusEcosystemModels, StatisticalAfricaAnimalsCeratopogonidaeDisease OutbreaksHorsesIndiaInsect VectorsSoftwareSouth AfricaSouth AmericaTemperatureVector Borne Diseases

Identifiers

PMID35110661
PMCPMC8811056
OpenAlexW4210384501

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.