Spatiotemporal Patterns of African Swine Fever in Wild Boar in the Russian Federation (2007–2022): Using Clustering Tools for Revealing High-Risk Areas
African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was a...
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| Published in | Animals (Basel) Vol. 13; no. 19; p. 3081 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.10.2023
MDPI |
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| Online Access | Get full text |
| ISSN | 2076-2615 2076-2615 |
| DOI | 10.3390/ani13193081 |
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| Abstract | African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007–2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones (“emerging hot spots”) with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control. |
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| AbstractList | African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007–2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones (“emerging hot spots”) with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control. African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007-2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones ("emerging hot spots") with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control.African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007-2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones ("emerging hot spots") with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control. Simple SummaryIn this study, we utilized the methods of spatiotemporal analysis to reveal and visualize the areas in the Russian Federation where an increased density of wild boar population might be related to the concentration of African swine fever (ASF) cases in wild boar. We demonstrated the areas (at the municipality level), where the elevated wild boar population density has continued to rise in recent years, that may be treated as high-risk areas, subject to the application of enhanced surveillance and population control measures.AbstractAfrican swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007–2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones (“emerging hot spots”) with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control. In this study, we utilized the methods of spatiotemporal analysis to reveal and visualize the areas in the Russian Federation where an increased density of wild boar population might be related to the concentration of African swine fever (ASF) cases in wild boar. We demonstrated the areas (at the municipality level), where the elevated wild boar population density has continued to rise in recent years, that may be treated as high-risk areas, subject to the application of enhanced surveillance and population control measures. African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007–2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones (“emerging hot spots”) with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control. In this study, we utilized the methods of spatiotemporal analysis to reveal and visualize the areas in the Russian Federation where an increased density of wild boar population might be related to the concentration of African swine fever (ASF) cases in wild boar. We demonstrated the areas (at the municipality level), where the elevated wild boar population density has continued to rise in recent years, that may be treated as high-risk areas, subject to the application of enhanced surveillance and population control measures. |
| Audience | Academic |
| Author | Blokhin, Andrey A. Yashin, Ivan V. Burova, Olga A. Zakharova, Olga I. Liskova, Elena A. Gladkova, Nadezhda A. Razheva, Irina V. Korennoy, Fedor I. |
| AuthorAffiliation | 1 Federal Research Center for Virology and Microbiology, Branch in Nizhny Novgorod, Nizhny Novgorod 603950, Russia; korennoy@arriah.ru (F.I.K.); ivanyashin@yandex.ru (I.V.Y.); burovaolga@list.ru (O.A.B.); liskovaea@mail.ru (E.A.L.); nivigladkova@yandex.ru (N.A.G.); razheva64@bk.ru (I.V.R.); and.bloxin2010@yandex.ru (A.A.B.) 2 Federal Center for Animal Health (FGBI ARRIAH), Vladimir 600901, Russia |
| AuthorAffiliation_xml | – name: 1 Federal Research Center for Virology and Microbiology, Branch in Nizhny Novgorod, Nizhny Novgorod 603950, Russia; korennoy@arriah.ru (F.I.K.); ivanyashin@yandex.ru (I.V.Y.); burovaolga@list.ru (O.A.B.); liskovaea@mail.ru (E.A.L.); nivigladkova@yandex.ru (N.A.G.); razheva64@bk.ru (I.V.R.); and.bloxin2010@yandex.ru (A.A.B.) – name: 2 Federal Center for Animal Health (FGBI ARRIAH), Vladimir 600901, Russia |
| Author_xml | – sequence: 1 givenname: Olga I. orcidid: 0000-0002-1408-2989 surname: Zakharova fullname: Zakharova, Olga I. – sequence: 2 givenname: Fedor I. orcidid: 0000-0002-7378-3531 surname: Korennoy fullname: Korennoy, Fedor I. – sequence: 3 givenname: Ivan V. orcidid: 0000-0001-7359-2041 surname: Yashin fullname: Yashin, Ivan V. – sequence: 4 givenname: Olga A. orcidid: 0000-0002-5396-0334 surname: Burova fullname: Burova, Olga A. – sequence: 5 givenname: Elena A. orcidid: 0000-0003-4324-725X surname: Liskova fullname: Liskova, Elena A. – sequence: 6 givenname: Nadezhda A. surname: Gladkova fullname: Gladkova, Nadezhda A. – sequence: 7 givenname: Irina V. surname: Razheva fullname: Razheva, Irina V. – sequence: 8 givenname: Andrey A. surname: Blokhin fullname: Blokhin, Andrey A. |
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| Snippet | African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the... In this study, we utilized the methods of spatiotemporal analysis to reveal and visualize the areas in the Russian Federation where an increased density of... Simple SummaryIn this study, we utilized the methods of spatiotemporal analysis to reveal and visualize the areas in the Russian Federation where an increased... |
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| SubjectTerms | African swine fever animal population density Asia Cluster analysis Communicable diseases Disease prevention Epidemics Expected values Geospatial data Hog cholera Hogs hot spot analysis Hypotheses Information systems monitoring Municipalities Natural resources Population density Regions Russia SaTScan spatiotemporal clustering Swine viruses wild boar wild boars |
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| Title | Spatiotemporal Patterns of African Swine Fever in Wild Boar in the Russian Federation (2007–2022): Using Clustering Tools for Revealing High-Risk Areas |
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