Evidence map›Paper›PMID 33644144›Full record

ArticleFrontiers in veterinary science2021

Risk for African Swine Fever Introduction Into Kazakhstan.

Daniella N Schettino, Sarsenbay K Abdrakhmanov, Kanatzhan K Beisembayev, Fedor I Korennoy, Akhmetzhan A Sultanov, Yersyn Y Mukhanbetkaliyev, Ablaikhan S Kadyrov, Andres M Perez

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Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 12 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

8 authors at 4 institutions in 3 countries.

Daniella N SchettinoDepartment of Veterinary Population Medicine, Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States.
Sarsenbay K AbdrakhmanovSaken Seifullin Kazakh Agrotechnical University, Nur-Sultan, Kazakhstan.
Kanatzhan K BeisembayevSaken Seifullin Kazakh Agrotechnical University, Nur-Sultan, Kazakhstan.
Fedor I KorennoyFGBI "Federal Centre for Animal Health" (FGBI "ARRIAH"), Vladimir, Russia.
Akhmetzhan A SultanovKazakh Scientific Research Veterinary Institute, Almaty, Kazakhstan.
Yersyn Y MukhanbetkaliyevSaken Seifullin Kazakh Agrotechnical University, Nur-Sultan, Kazakhstan.
Ablaikhan S KadyrovSaken Seifullin Kazakh Agrotechnical University, Nur-Sultan, Kazakhstan.
Andres M PerezDepartment of Veterinary Population Medicine, Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States.
S.Seifullin Kazakh Agro Technical University · KZUniversity of Minnesota · USAll-Russian Research Institute for Animal Health · RUKazakh Scientific Research Veterinary Institute · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) is a disease of swine that is endemic to some African countries and that has rapidly spread since 2007 through many regions of Asia and Europe, becoming endemic in some areas of those continents. Since there is neither vaccine nor treatment for ASF, prevention is an important action to avoid the economic losses that this disease can impose on a country. Although the Republic of Kazakhstan has remained free from the disease, some of its neighbors have become ASF-infected, raising concerns about the potential introduction of the disease into the country. Here, we have identified clusters of districts in Kazakhstan at highest risk for ASF introduction. Questionnaires were administered, and districts were visited to collect and document, for the first time, at the district level, the distribution of swine operations and population in Kazakhstan. A snowball sampling approach was used to identify ASF experts worldwide, and a conjoint analysis model was used to elicit their opinion in relation to the extent at which relevant epidemiological factors influence the risk for ASF introduction into disease-free regions. The resulting model was validated using data from the Russian Federation and Mongolia. Finally, the validated model was used to rank and categorize Kazakhstani districts in terms of the risk for serving as the point of entry for ASF into the country, and clusters of districts at highest risk of introduction were identified using the normal model of the spatial scan statistic. Results here will help to allocate resources for surveillance and prevention activities aimed at early detecting a hypothetical ASF introduction into Kazakhstan, ultimately helping to protect the sanitary status of the country.

Indexed as

African swine feverconjoint analysisepidemicKazakhstanrisk analysisrisk map

Identifiers

PMID33644144
PMCPMC7904699
OpenAlexW3131587455

What OpenQuestion holds

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LicenceCC BY
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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.