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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Transboundary and emerging diseases 2024-05, Vol.2024, p.1-11
Hauptverfasser: Im, Changmin, Curtis, Andrew, Song, Daesub, Kim, Oh Seok
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 11
container_issue
container_start_page 1
container_title Transboundary and emerging diseases
container_volume 2024
creator Im, Changmin
Curtis, Andrew
Song, Daesub
Kim, Oh Seok
description 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.
doi_str_mv 10.1155/2024/8824971
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3065746762</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3065746762</sourcerecordid><originalsourceid>FETCH-LOGICAL-c224t-a54214a272b6447af2caac6c251f7652e9a5487a1139a354ecc3612689f9ea273</originalsourceid><addsrcrecordid>eNp90E9PwjAYBvDGaCKiNz9AE486Wbv-2Y4ERYgYSNSLl-WldKw4Ouw2CJz86BYhHj31Tfp7nzd5ELom4T0hnHdoSFknjilLJDlBLRILHhAR09O_WbJzdFFVizAUYSJ4C32_wGpl7Bx3M2cUWPy6MVbjvl5rh8HO8MDM82KLJ1Dn5Vxbo3B3bbwb2qxotN0BHjf11Gn4rDAUpU-qc40f9NIUpgZndnqGP0ofaezvz3PprcUTH2WrpoBLdJZBUemr49tG7_3Ht94gGI2fhr3uKFCUsjoAzihhQCWdCsYkZFQBKKEoJ5kUnOrEi1gCIVECEWdaqUgQKuIkS7Rfi9ro5pC7cuVXo6s6XZSNs_5kGoWCSyakoF7dHZRyZVU5naUrZ5bgtikJ033H6b7j9Nix57cHnhs7g435X_8Aav57qw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3065746762</pqid></control><display><type>article</type><title>Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula</title><source>ProQuest_Research Library</source><source>AUTh Library subscriptions: ProQuest Central</source><source>ProQuest Central Essentials</source><source>ProQuest Central (Alumni Edition)</source><source>Research Library (Alumni Edition)</source><source>Research Library Prep</source><source>ProQuest Central Student</source><source>Wiley Open Access</source><source>Alma/SFX Local Collection</source><source>ProQuest Central</source><creator>Im, Changmin ; Curtis, Andrew ; Song, Daesub ; Kim, Oh Seok</creator><contributor>Chen, Nan-hua ; Nan-hua Chen</contributor><creatorcontrib>Im, Changmin ; Curtis, Andrew ; Song, Daesub ; Kim, Oh Seok ; Chen, Nan-hua ; Nan-hua Chen</creatorcontrib><description>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.</description><identifier>ISSN: 1865-1674</identifier><identifier>EISSN: 1865-1682</identifier><identifier>DOI: 10.1155/2024/8824971</identifier><language>eng</language><publisher>Berlin: Wiley</publisher><subject>African swine fever ; Agricultural land ; Agriculture ; Algorithms ; Animal diseases ; Animal health ; Animals ; Avian flu ; Bird migration ; Boundaries ; Disease ; Epidemics ; Epidemiology ; Farms ; Fever ; Habitat preferences ; Health surveillance ; Influenza ; Land use ; Livestock ; Livestock farming ; Machine learning ; Mapping ; Migratory birds ; Outbreaks ; Pest outbreaks ; Precipitation ; Provinces ; Rice ; Solar radiation ; Spring ; Spring (season) ; Swine ; Wild animals ; Winter</subject><ispartof>Transboundary and emerging diseases, 2024-05, Vol.2024, p.1-11</ispartof><rights>Copyright © 2024 Changmin Im et al.</rights><rights>Copyright © 2024 Changmin Im et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c224t-a54214a272b6447af2caac6c251f7652e9a5487a1139a354ecc3612689f9ea273</cites><orcidid>0000-0003-0956-2686 ; 0000-0002-2759-1061 ; 0000-0001-9099-6793 ; 0000-0002-5254-0995</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3065746762/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3065746762?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,12745,12774,21388,21389,21390,21391,21392,23256,27924,27925,33452,33530,33703,33744,34005,34314,34334,36265,43616,43659,43787,43805,43953,44067,44073,44404,64385,64389,72469,74051,74104,74283,74302,74473,74590,74596,74936</link.rule.ids></links><search><contributor>Chen, Nan-hua</contributor><contributor>Nan-hua Chen</contributor><creatorcontrib>Im, Changmin</creatorcontrib><creatorcontrib>Curtis, Andrew</creatorcontrib><creatorcontrib>Song, Daesub</creatorcontrib><creatorcontrib>Kim, Oh Seok</creatorcontrib><title>Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula</title><title>Transboundary and emerging diseases</title><description>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.</description><subject>African swine fever</subject><subject>Agricultural land</subject><subject>Agriculture</subject><subject>Algorithms</subject><subject>Animal diseases</subject><subject>Animal health</subject><subject>Animals</subject><subject>Avian flu</subject><subject>Bird migration</subject><subject>Boundaries</subject><subject>Disease</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Farms</subject><subject>Fever</subject><subject>Habitat preferences</subject><subject>Health surveillance</subject><subject>Influenza</subject><subject>Land use</subject><subject>Livestock</subject><subject>Livestock farming</subject><subject>Machine learning</subject><subject>Mapping</subject><subject>Migratory birds</subject><subject>Outbreaks</subject><subject>Pest outbreaks</subject><subject>Precipitation</subject><subject>Provinces</subject><subject>Rice</subject><subject>Solar radiation</subject><subject>Spring</subject><subject>Spring (season)</subject><subject>Swine</subject><subject>Wild animals</subject><subject>Winter</subject><issn>1865-1674</issn><issn>1865-1682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp90E9PwjAYBvDGaCKiNz9AE486Wbv-2Y4ERYgYSNSLl-WldKw4Ouw2CJz86BYhHj31Tfp7nzd5ELom4T0hnHdoSFknjilLJDlBLRILHhAR09O_WbJzdFFVizAUYSJ4C32_wGpl7Bx3M2cUWPy6MVbjvl5rh8HO8MDM82KLJ1Dn5Vxbo3B3bbwb2qxotN0BHjf11Gn4rDAUpU-qc40f9NIUpgZndnqGP0ofaezvz3PprcUTH2WrpoBLdJZBUemr49tG7_3Ht94gGI2fhr3uKFCUsjoAzihhQCWdCsYkZFQBKKEoJ5kUnOrEi1gCIVECEWdaqUgQKuIkS7Rfi9ro5pC7cuVXo6s6XZSNs_5kGoWCSyakoF7dHZRyZVU5naUrZ5bgtikJ033H6b7j9Nix57cHnhs7g435X_8Aav57qw</recordid><startdate>20240530</startdate><enddate>20240530</enddate><creator>Im, Changmin</creator><creator>Curtis, Andrew</creator><creator>Song, Daesub</creator><creator>Kim, Oh Seok</creator><general>Wiley</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X2</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-0956-2686</orcidid><orcidid>https://orcid.org/0000-0002-2759-1061</orcidid><orcidid>https://orcid.org/0000-0001-9099-6793</orcidid><orcidid>https://orcid.org/0000-0002-5254-0995</orcidid></search><sort><creationdate>20240530</creationdate><title>Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula</title><author>Im, Changmin ; Curtis, Andrew ; Song, Daesub ; Kim, Oh Seok</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c224t-a54214a272b6447af2caac6c251f7652e9a5487a1139a354ecc3612689f9ea273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>African swine fever</topic><topic>Agricultural land</topic><topic>Agriculture</topic><topic>Algorithms</topic><topic>Animal diseases</topic><topic>Animal health</topic><topic>Animals</topic><topic>Avian flu</topic><topic>Bird migration</topic><topic>Boundaries</topic><topic>Disease</topic><topic>Epidemics</topic><topic>Epidemiology</topic><topic>Farms</topic><topic>Fever</topic><topic>Habitat preferences</topic><topic>Health surveillance</topic><topic>Influenza</topic><topic>Land use</topic><topic>Livestock</topic><topic>Livestock farming</topic><topic>Machine learning</topic><topic>Mapping</topic><topic>Migratory birds</topic><topic>Outbreaks</topic><topic>Pest outbreaks</topic><topic>Precipitation</topic><topic>Provinces</topic><topic>Rice</topic><topic>Solar radiation</topic><topic>Spring</topic><topic>Spring (season)</topic><topic>Swine</topic><topic>Wild animals</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Im, Changmin</creatorcontrib><creatorcontrib>Curtis, Andrew</creatorcontrib><creatorcontrib>Song, Daesub</creatorcontrib><creatorcontrib>Kim, Oh Seok</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>ProQuest_Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Transboundary and emerging diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Im, Changmin</au><au>Curtis, Andrew</au><au>Song, Daesub</au><au>Kim, Oh Seok</au><au>Chen, Nan-hua</au><au>Nan-hua Chen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula</atitle><jtitle>Transboundary and emerging diseases</jtitle><date>2024-05-30</date><risdate>2024</risdate><volume>2024</volume><spage>1</spage><epage>11</epage><pages>1-11</pages><issn>1865-1674</issn><eissn>1865-1682</eissn><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.</abstract><cop>Berlin</cop><pub>Wiley</pub><doi>10.1155/2024/8824971</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-0956-2686</orcidid><orcidid>https://orcid.org/0000-0002-2759-1061</orcidid><orcidid>https://orcid.org/0000-0001-9099-6793</orcidid><orcidid>https://orcid.org/0000-0002-5254-0995</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1865-1674
ispartof Transboundary and emerging diseases, 2024-05, Vol.2024, p.1-11
issn 1865-1674
1865-1682
language eng
recordid cdi_proquest_journals_3065746762
source ProQuest_Research Library; AUTh Library subscriptions: ProQuest Central; ProQuest Central Essentials; ProQuest Central (Alumni Edition); Research Library (Alumni Edition); Research Library Prep; ProQuest Central Student; Wiley Open Access; Alma/SFX Local Collection; ProQuest Central
subjects African swine fever
Agricultural land
Agriculture
Algorithms
Animal diseases
Animal health
Animals
Avian flu
Bird migration
Boundaries
Disease
Epidemics
Epidemiology
Farms
Fever
Habitat preferences
Health surveillance
Influenza
Land use
Livestock
Livestock farming
Machine learning
Mapping
Migratory birds
Outbreaks
Pest outbreaks
Precipitation
Provinces
Rice
Solar radiation
Spring
Spring (season)
Swine
Wild animals
Winter
title Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T17%3A07%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mapping%20African%20Swine%20Fever%20and%20Highly%20Pathogenic%20Avian%20Influenza%20Outbreaks%20along%20the%20Demilitarized%20Zone%20in%20the%20Korean%20Peninsula&rft.jtitle=Transboundary%20and%20emerging%20diseases&rft.au=Im,%20Changmin&rft.date=2024-05-30&rft.volume=2024&rft.spage=1&rft.epage=11&rft.pages=1-11&rft.issn=1865-1674&rft.eissn=1865-1682&rft_id=info:doi/10.1155/2024/8824971&rft_dat=%3Cproquest_cross%3E3065746762%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3065746762&rft_id=info:pmid/&rfr_iscdi=true