Maximum entropy modeling risk of anthrax in the Republic of Kazakhstan

The objective of this study was to zone the territory of the Republic of Kazakhstan (RK) into risk categories according to the probability of anthrax emergence in farm animals as stipulated by the re-activation of preserved natural foci. We used historical data on anthrax morbidity in farm animals d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Preventive veterinary medicine 2017-09, Vol.144, p.149-157
Hauptverfasser: Abdrakhmanov, S.K., Mukhanbetkaliyev, Y.Y., Korennoy, F.I., Sultanov, A.A., Kadyrov, A.S., Kushubaev, D.B., Bakishev, T.G.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 157
container_issue
container_start_page 149
container_title Preventive veterinary medicine
container_volume 144
creator Abdrakhmanov, S.K.
Mukhanbetkaliyev, Y.Y.
Korennoy, F.I.
Sultanov, A.A.
Kadyrov, A.S.
Kushubaev, D.B.
Bakishev, T.G.
description The objective of this study was to zone the territory of the Republic of Kazakhstan (RK) into risk categories according to the probability of anthrax emergence in farm animals as stipulated by the re-activation of preserved natural foci. We used historical data on anthrax morbidity in farm animals during the period 1933 − 2014, collected by the veterinary service of the RK. The database covers the entire territory of the RK and contains 4058 anthrax outbreaks tied to 1798 unique locations. Considering the strongly pronounced natural focality of anthrax, we employed environmental niche modeling (Maxent) to reveal patterns in the outbreaks’ linkages to specific combinations of environmental factors. The set of bioclimatic factors BIOCLIM, derived from remote sensing data, the altitude above sea level, the land cover type, the maximum green vegetation fraction (MGVF) and the soil type were examined as explanatory variables. The model demonstrated good predictive ability, while the MGVF, the bioclimatic variables reflecting precipitation level and humidity, and the soil type were found to contribute most significantly to the model. A continuous probability surface was obtained that reflects the suitability of the study area for the emergence of anthrax outbreaks. The surface was turned into a categorical risk map by averaging the probabilities within the administrative divisions at the 2nd level and putting them into four categories of risk, namely: low, medium, high and very high risk zones, where very high risk refers to more than 50% suitability to the disease re-emergence and low risk refers to less than 10% suitability. The map indicated increased risk of anthrax re-emergence in the districts along the northern, eastern and south-eastern borders of the country. It was recommended that the national veterinary service uses the risk map for the development of contra-epizootic measures aimed at the prevention of anthrax re-emergence in historically affected regions of the RK. The map can also be considered when developing large-scale construction projects in the areas comprising preserved soil foci of anthrax.
doi_str_mv 10.1016/j.prevetmed.2017.06.003
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1921132634</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S016758771630719X</els_id><sourcerecordid>1921132634</sourcerecordid><originalsourceid>FETCH-LOGICAL-c371t-a799990ab12b8d1b0f4f061daae4bcb1ab08f820b2fd41191419650fcd61496d3</originalsourceid><addsrcrecordid>eNqFkEtP3DAQgK2KqizQvwA5ckmYSbJ2ckSIBQSoEoKz5cek6yUv7ARBf329WuDKXOYw37w-xk4QMgTkZ5ts9PRKU0c2ywFFBjwDKH6wBVaiSFEg32OLSIp0WQmxzw5C2AAA59XyF9vPqwhgzRdsda_eXDd3CfWTH8b3pBssta7_m3gXnpOhSVQ_rb16S1yfTGtKHmicdevMtnSr_qnndZhUf8R-NqoN9PsjH7Kn1eXjxXV69-fq5uL8LjWFwClVoo4BSmOuK4samrIBjlYpKrXRqDRUTZWDzhtbItZYxiOX0BjLsay5LQ7Z6W7u6IeXmcIkOxcMta3qaZiDxDpHLHJelBEVO9T4IQRPjRy965R_lwhyK1Fu5JdEuZUogcsoMXYefyyZ9bb22fdpLQLnO4Diq6-OvAzGUW_IOk9mknZw3y75D_Z_h34</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1921132634</pqid></control><display><type>article</type><title>Maximum entropy modeling risk of anthrax in the Republic of Kazakhstan</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Abdrakhmanov, S.K. ; Mukhanbetkaliyev, Y.Y. ; Korennoy, F.I. ; Sultanov, A.A. ; Kadyrov, A.S. ; Kushubaev, D.B. ; Bakishev, T.G.</creator><creatorcontrib>Abdrakhmanov, S.K. ; Mukhanbetkaliyev, Y.Y. ; Korennoy, F.I. ; Sultanov, A.A. ; Kadyrov, A.S. ; Kushubaev, D.B. ; Bakishev, T.G.</creatorcontrib><description>The objective of this study was to zone the territory of the Republic of Kazakhstan (RK) into risk categories according to the probability of anthrax emergence in farm animals as stipulated by the re-activation of preserved natural foci. We used historical data on anthrax morbidity in farm animals during the period 1933 − 2014, collected by the veterinary service of the RK. The database covers the entire territory of the RK and contains 4058 anthrax outbreaks tied to 1798 unique locations. Considering the strongly pronounced natural focality of anthrax, we employed environmental niche modeling (Maxent) to reveal patterns in the outbreaks’ linkages to specific combinations of environmental factors. The set of bioclimatic factors BIOCLIM, derived from remote sensing data, the altitude above sea level, the land cover type, the maximum green vegetation fraction (MGVF) and the soil type were examined as explanatory variables. The model demonstrated good predictive ability, while the MGVF, the bioclimatic variables reflecting precipitation level and humidity, and the soil type were found to contribute most significantly to the model. A continuous probability surface was obtained that reflects the suitability of the study area for the emergence of anthrax outbreaks. The surface was turned into a categorical risk map by averaging the probabilities within the administrative divisions at the 2nd level and putting them into four categories of risk, namely: low, medium, high and very high risk zones, where very high risk refers to more than 50% suitability to the disease re-emergence and low risk refers to less than 10% suitability. The map indicated increased risk of anthrax re-emergence in the districts along the northern, eastern and south-eastern borders of the country. It was recommended that the national veterinary service uses the risk map for the development of contra-epizootic measures aimed at the prevention of anthrax re-emergence in historically affected regions of the RK. The map can also be considered when developing large-scale construction projects in the areas comprising preserved soil foci of anthrax.</description><identifier>ISSN: 0167-5877</identifier><identifier>EISSN: 1873-1716</identifier><identifier>DOI: 10.1016/j.prevetmed.2017.06.003</identifier><identifier>PMID: 28716196</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Animals ; Animals, Domestic ; Anthrax ; Anthrax - epidemiology ; Anthrax - veterinary ; Disease Outbreaks - veterinary ; Ecosystem ; Entropy ; Kazakhstan ; Kazakhstan - epidemiology ; Maxent ; Risk ; Risk map ; Soil foci</subject><ispartof>Preventive veterinary medicine, 2017-09, Vol.144, p.149-157</ispartof><rights>2017 Elsevier B.V.</rights><rights>Copyright © 2017 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-a799990ab12b8d1b0f4f061daae4bcb1ab08f820b2fd41191419650fcd61496d3</citedby><cites>FETCH-LOGICAL-c371t-a799990ab12b8d1b0f4f061daae4bcb1ab08f820b2fd41191419650fcd61496d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S016758771630719X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28716196$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abdrakhmanov, S.K.</creatorcontrib><creatorcontrib>Mukhanbetkaliyev, Y.Y.</creatorcontrib><creatorcontrib>Korennoy, F.I.</creatorcontrib><creatorcontrib>Sultanov, A.A.</creatorcontrib><creatorcontrib>Kadyrov, A.S.</creatorcontrib><creatorcontrib>Kushubaev, D.B.</creatorcontrib><creatorcontrib>Bakishev, T.G.</creatorcontrib><title>Maximum entropy modeling risk of anthrax in the Republic of Kazakhstan</title><title>Preventive veterinary medicine</title><addtitle>Prev Vet Med</addtitle><description>The objective of this study was to zone the territory of the Republic of Kazakhstan (RK) into risk categories according to the probability of anthrax emergence in farm animals as stipulated by the re-activation of preserved natural foci. We used historical data on anthrax morbidity in farm animals during the period 1933 − 2014, collected by the veterinary service of the RK. The database covers the entire territory of the RK and contains 4058 anthrax outbreaks tied to 1798 unique locations. Considering the strongly pronounced natural focality of anthrax, we employed environmental niche modeling (Maxent) to reveal patterns in the outbreaks’ linkages to specific combinations of environmental factors. The set of bioclimatic factors BIOCLIM, derived from remote sensing data, the altitude above sea level, the land cover type, the maximum green vegetation fraction (MGVF) and the soil type were examined as explanatory variables. The model demonstrated good predictive ability, while the MGVF, the bioclimatic variables reflecting precipitation level and humidity, and the soil type were found to contribute most significantly to the model. A continuous probability surface was obtained that reflects the suitability of the study area for the emergence of anthrax outbreaks. The surface was turned into a categorical risk map by averaging the probabilities within the administrative divisions at the 2nd level and putting them into four categories of risk, namely: low, medium, high and very high risk zones, where very high risk refers to more than 50% suitability to the disease re-emergence and low risk refers to less than 10% suitability. The map indicated increased risk of anthrax re-emergence in the districts along the northern, eastern and south-eastern borders of the country. It was recommended that the national veterinary service uses the risk map for the development of contra-epizootic measures aimed at the prevention of anthrax re-emergence in historically affected regions of the RK. The map can also be considered when developing large-scale construction projects in the areas comprising preserved soil foci of anthrax.</description><subject>Animals</subject><subject>Animals, Domestic</subject><subject>Anthrax</subject><subject>Anthrax - epidemiology</subject><subject>Anthrax - veterinary</subject><subject>Disease Outbreaks - veterinary</subject><subject>Ecosystem</subject><subject>Entropy</subject><subject>Kazakhstan</subject><subject>Kazakhstan - epidemiology</subject><subject>Maxent</subject><subject>Risk</subject><subject>Risk map</subject><subject>Soil foci</subject><issn>0167-5877</issn><issn>1873-1716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEtP3DAQgK2KqizQvwA5ckmYSbJ2ckSIBQSoEoKz5cek6yUv7ARBf329WuDKXOYw37w-xk4QMgTkZ5ts9PRKU0c2ywFFBjwDKH6wBVaiSFEg32OLSIp0WQmxzw5C2AAA59XyF9vPqwhgzRdsda_eXDd3CfWTH8b3pBssta7_m3gXnpOhSVQ_rb16S1yfTGtKHmicdevMtnSr_qnndZhUf8R-NqoN9PsjH7Kn1eXjxXV69-fq5uL8LjWFwClVoo4BSmOuK4samrIBjlYpKrXRqDRUTZWDzhtbItZYxiOX0BjLsay5LQ7Z6W7u6IeXmcIkOxcMta3qaZiDxDpHLHJelBEVO9T4IQRPjRy965R_lwhyK1Fu5JdEuZUogcsoMXYefyyZ9bb22fdpLQLnO4Diq6-OvAzGUW_IOk9mknZw3y75D_Z_h34</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Abdrakhmanov, S.K.</creator><creator>Mukhanbetkaliyev, Y.Y.</creator><creator>Korennoy, F.I.</creator><creator>Sultanov, A.A.</creator><creator>Kadyrov, A.S.</creator><creator>Kushubaev, D.B.</creator><creator>Bakishev, T.G.</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20170901</creationdate><title>Maximum entropy modeling risk of anthrax in the Republic of Kazakhstan</title><author>Abdrakhmanov, S.K. ; Mukhanbetkaliyev, Y.Y. ; Korennoy, F.I. ; Sultanov, A.A. ; Kadyrov, A.S. ; Kushubaev, D.B. ; Bakishev, T.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-a799990ab12b8d1b0f4f061daae4bcb1ab08f820b2fd41191419650fcd61496d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>Animals, Domestic</topic><topic>Anthrax</topic><topic>Anthrax - epidemiology</topic><topic>Anthrax - veterinary</topic><topic>Disease Outbreaks - veterinary</topic><topic>Ecosystem</topic><topic>Entropy</topic><topic>Kazakhstan</topic><topic>Kazakhstan - epidemiology</topic><topic>Maxent</topic><topic>Risk</topic><topic>Risk map</topic><topic>Soil foci</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdrakhmanov, S.K.</creatorcontrib><creatorcontrib>Mukhanbetkaliyev, Y.Y.</creatorcontrib><creatorcontrib>Korennoy, F.I.</creatorcontrib><creatorcontrib>Sultanov, A.A.</creatorcontrib><creatorcontrib>Kadyrov, A.S.</creatorcontrib><creatorcontrib>Kushubaev, D.B.</creatorcontrib><creatorcontrib>Bakishev, T.G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Preventive veterinary medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abdrakhmanov, S.K.</au><au>Mukhanbetkaliyev, Y.Y.</au><au>Korennoy, F.I.</au><au>Sultanov, A.A.</au><au>Kadyrov, A.S.</au><au>Kushubaev, D.B.</au><au>Bakishev, T.G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Maximum entropy modeling risk of anthrax in the Republic of Kazakhstan</atitle><jtitle>Preventive veterinary medicine</jtitle><addtitle>Prev Vet Med</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>144</volume><spage>149</spage><epage>157</epage><pages>149-157</pages><issn>0167-5877</issn><eissn>1873-1716</eissn><abstract>The objective of this study was to zone the territory of the Republic of Kazakhstan (RK) into risk categories according to the probability of anthrax emergence in farm animals as stipulated by the re-activation of preserved natural foci. We used historical data on anthrax morbidity in farm animals during the period 1933 − 2014, collected by the veterinary service of the RK. The database covers the entire territory of the RK and contains 4058 anthrax outbreaks tied to 1798 unique locations. Considering the strongly pronounced natural focality of anthrax, we employed environmental niche modeling (Maxent) to reveal patterns in the outbreaks’ linkages to specific combinations of environmental factors. The set of bioclimatic factors BIOCLIM, derived from remote sensing data, the altitude above sea level, the land cover type, the maximum green vegetation fraction (MGVF) and the soil type were examined as explanatory variables. The model demonstrated good predictive ability, while the MGVF, the bioclimatic variables reflecting precipitation level and humidity, and the soil type were found to contribute most significantly to the model. A continuous probability surface was obtained that reflects the suitability of the study area for the emergence of anthrax outbreaks. The surface was turned into a categorical risk map by averaging the probabilities within the administrative divisions at the 2nd level and putting them into four categories of risk, namely: low, medium, high and very high risk zones, where very high risk refers to more than 50% suitability to the disease re-emergence and low risk refers to less than 10% suitability. The map indicated increased risk of anthrax re-emergence in the districts along the northern, eastern and south-eastern borders of the country. It was recommended that the national veterinary service uses the risk map for the development of contra-epizootic measures aimed at the prevention of anthrax re-emergence in historically affected regions of the RK. The map can also be considered when developing large-scale construction projects in the areas comprising preserved soil foci of anthrax.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>28716196</pmid><doi>10.1016/j.prevetmed.2017.06.003</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0167-5877
ispartof Preventive veterinary medicine, 2017-09, Vol.144, p.149-157
issn 0167-5877
1873-1716
language eng
recordid cdi_proquest_miscellaneous_1921132634
source MEDLINE; Elsevier ScienceDirect Journals
subjects Animals
Animals, Domestic
Anthrax
Anthrax - epidemiology
Anthrax - veterinary
Disease Outbreaks - veterinary
Ecosystem
Entropy
Kazakhstan
Kazakhstan - epidemiology
Maxent
Risk
Risk map
Soil foci
title Maximum entropy modeling risk of anthrax in the Republic of Kazakhstan
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T00%3A48%3A48IST&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=Maximum%20entropy%20modeling%20risk%20of%20anthrax%20in%20the%20Republic%20of%20Kazakhstan&rft.jtitle=Preventive%20veterinary%20medicine&rft.au=Abdrakhmanov,%20S.K.&rft.date=2017-09-01&rft.volume=144&rft.spage=149&rft.epage=157&rft.pages=149-157&rft.issn=0167-5877&rft.eissn=1873-1716&rft_id=info:doi/10.1016/j.prevetmed.2017.06.003&rft_dat=%3Cproquest_cross%3E1921132634%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=1921132634&rft_id=info:pmid/28716196&rft_els_id=S016758771630719X&rfr_iscdi=true