Evidence map›Paper›PMID 40303186›Full record

ArticleTransboundary and emerging diseases2024

Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula.

Changmin Im, Andrew Curtis, Daesub Song, Oh Seok Kim

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Changmin ImDepartment of Geography Graduate School of Korea University SeoulRepublic of Korea.ORCID https://orcid.org/0000-0002-5254-0995
Andrew CurtisGIS Health and Hazards Lab Department of Population and Quantitative Health Sciences School of Medicine Case Western Reserve University Cleveland OH 44106USA.ORCID https://orcid.org/0000-0003-0956-2686
Daesub SongCollege of Veterinary Medicine and Research Institute for Veterinary Science Seoul National University SeoulRepublic of Korea.ORCID https://orcid.org/0000-0002-2759-1061
Oh Seok KimDepartment of Geography Graduate School of Korea University SeoulRepublic of Korea.ORCID https://orcid.org/0000-0001-9099-6793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Korean Demilitarized Zone (DMZ) is one of the world's most preserved habitats for wild animals and migratory birds. The area also plays a major role in the spread of infectious animal diseases, in particular, African swine fever (ASF) and highly pathogenic avian influenza (HPAI). These outbreaks threaten the livelihood of local livestock farms, not infrequently. In this paper, we explore these relatively under-researched diseases by modeling and mapping ASF and HPAI risks in tandem using MaxEnt, a machine-learning algorithm. The results show robust predictive power with high area under the curve values, of 0.92 and 0.99, respectively. We found that precipitation from spring to early summer and solar radiation in winter were essential in explaining the potential distribution of ASF, but land use contributed little. Thus, understanding only wild boars' habitat preferences may not be sufficient in preventing ASF epidemics. HPAI risks were shaped by precipitation and mean temperature from winter to spring and land use. Areas with high ASF and HPAI risks were primarily found in forest and agricultural lands, respectively. The DMZ included many high-risk areas, indicating that the DMZ could lead to a broader regional spread of ASF and HPAI in the peninsula. Thus, our results highlight the essential role of cross-border collaboration and the combination of environmental and epidemiological insights in strategies to control ASF and HPAI risks within and surrounding the DMZ.

Indexed as

African Swine FeverDisease OutbreaksInfluenza in BirdsAnimalsBirdsRepublic of KoreaSwine

Identifiers

PMID40303186
PMCPMC12017379

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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.