Evidence map›Paper›PMID 34152953›Full record

ArticleEmerging infectious diseases2021

Transmission Dynamics of African Swine Fever Virus, South Korea, 2019.

Dae Sung Yoo, Younjung Kim, Eune Sub Lee, Jun Sik Lim, Seong Keun Hong, Il Seob Lee, Chung Sik Jung, Ha Chung Yoon, Sung Hwan Wee, Dirk U Pfeiffer and 1 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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  20. Blockchain Data Secure Transmission Method Based on Homomorphic Encryption.Computational intelligence and neuroscience · 2022
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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

11 authors.

Dae Sung Yoo
Younjung Kim
Eune Sub Lee
Jun Sik Lim
Seong Keun Hong
Il Seob Lee
Chung Sik Jung
Ha Chung Yoon
Sung Hwan Wee
Dirk U Pfeiffer
Guillaume Fournié

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) is a substantial concern for global food production and security. However, lack of epidemiologic data in affected areas has limited the knowledge of the main drivers of ASF virus (ASFV) transmission. To assess the role of vehicle movements and wild boar populations in spreading ASFV to pig farms in South Korea, we combined data generated by ASF surveillance on pig farms and of wild boars with nationwide global positioning system-based tracking data for vehicles involved in farming activities. Vehicle movements from infected premises were associated with a higher probability of ASFV incursion into a farm than was geographic proximity to ASFV-infected wild boar populations. Although ASFV can spill over from infected wild boars into domestic pigs, vehicles played a substantial role in spreading infection between farms, despite rapid on-farm detection and culling. This finding highlights the need for interventions targeting farm-to-farm and wildlife-to-farm interfaces.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsFarmsRepublic of KoreaSus scrofaSwineAfrican swine fevercontact tracingdisease outbreakinfectious disease epidemiologymathematical modelingSouth Koreatransmission dynamicsviruses

Identifiers

PMID34152953
PMCPMC8237864

What OpenQuestion holds

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LicenceCC BY
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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.