-
Je něco špatně v tomto záznamu ?
Spatial epidemiology of African swine fever: Host, landscape and anthropogenic drivers of disease occurrence in wild boar
T. Podgórski, T. Borowik, M. Łyjak, G. Woźniakowski,
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články
- MeSH
- africký mor prasat epidemiologie MeSH
- biologické modely MeSH
- divoká zvířata MeSH
- epidemie veterinární MeSH
- interakce hostitele a patogenu * MeSH
- prasata MeSH
- pravděpodobnost MeSH
- prostorová analýza MeSH
- Sus scrofa MeSH
- virus afrického moru prasat fyziologie MeSH
- životní prostředí MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Polsko MeSH
Host abundance and landscape structure often interact to shape spatial patterns of many wildlife diseases. Emergence, spread, and persistence of African swine fever (ASF) among wild boar in eastern Europe has raised questions on the factors underlying ASF dynamics in this novel host-pathogen system. This work identifies drivers of ASF occurrence in natural wild boar population. We evaluated factors shaping the probability of ASF-postitive wild boar during the first three years (2014-2016) of the ASF epidemic in Poland. We expected to observe positive effects of wild boar density, proportion of forested area, human activity, and proximity to previous infections on ASF case probability. We tested these predictions using the infection status of 830 wild boar samples and generalized mixed-effects models. The probability of ASF case increased from 3 to 20% as population density rose from 0.4 to 2 ind./km2. The positive effect of population density on ASF case probability was stronger at locations near previous ASF incidents. ASF was more likely to occur in forested areas, with the probability of detecting an ASF positive sample rising from 2 to 11% as forest cover around the sample increased from 0.5 to 100%. This pattern was consistent at both low and high wild boar densities. Indicators of human activity were poor predictors of ASF occurrence. Disease control efforts, such as culling and carcass search, should be focused on high-density populations where chances of detecting and eliminating ASF-positive wild boar are higher. The intensity of control measures should decrease with distance from the infected area to match the observed spatial pattern of ASF case probability. Woodlands represent areas of the highest risk of ASF case occurrence. Distribution and connectivity of suitable habitats over the landscape can be used to prioritize disease-management actions.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc20028337
- 003
- CZ-PrNML
- 005
- 20210114153549.0
- 007
- ta
- 008
- 210105s2020 ne f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.prevetmed.2019.104691 $2 doi
- 035 __
- $a (PubMed)31122672
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ne
- 100 1_
- $a Podgórski, Tomasz $u Mammal Research Institute, Polish Academy of Sciences, Białowieża, Poland; Department of Game Management and Wildlife Biology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Praha, Czech Republic. Electronic address: t_podgorski@ibs.bialowieza.pl.
- 245 10
- $a Spatial epidemiology of African swine fever: Host, landscape and anthropogenic drivers of disease occurrence in wild boar / $c T. Podgórski, T. Borowik, M. Łyjak, G. Woźniakowski,
- 520 9_
- $a Host abundance and landscape structure often interact to shape spatial patterns of many wildlife diseases. Emergence, spread, and persistence of African swine fever (ASF) among wild boar in eastern Europe has raised questions on the factors underlying ASF dynamics in this novel host-pathogen system. This work identifies drivers of ASF occurrence in natural wild boar population. We evaluated factors shaping the probability of ASF-postitive wild boar during the first three years (2014-2016) of the ASF epidemic in Poland. We expected to observe positive effects of wild boar density, proportion of forested area, human activity, and proximity to previous infections on ASF case probability. We tested these predictions using the infection status of 830 wild boar samples and generalized mixed-effects models. The probability of ASF case increased from 3 to 20% as population density rose from 0.4 to 2 ind./km2. The positive effect of population density on ASF case probability was stronger at locations near previous ASF incidents. ASF was more likely to occur in forested areas, with the probability of detecting an ASF positive sample rising from 2 to 11% as forest cover around the sample increased from 0.5 to 100%. This pattern was consistent at both low and high wild boar densities. Indicators of human activity were poor predictors of ASF occurrence. Disease control efforts, such as culling and carcass search, should be focused on high-density populations where chances of detecting and eliminating ASF-positive wild boar are higher. The intensity of control measures should decrease with distance from the infected area to match the observed spatial pattern of ASF case probability. Woodlands represent areas of the highest risk of ASF case occurrence. Distribution and connectivity of suitable habitats over the landscape can be used to prioritize disease-management actions.
- 650 _2
- $a africký mor prasat $x epidemiologie $7 D000357
- 650 _2
- $a virus afrického moru prasat $x fyziologie $7 D000358
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a divoká zvířata $7 D000835
- 650 _2
- $a životní prostředí $7 D004777
- 650 _2
- $a epidemie $x veterinární $7 D058872
- 650 12
- $a interakce hostitele a patogenu $7 D054884
- 650 _2
- $a biologické modely $7 D008954
- 650 _2
- $a pravděpodobnost $7 D011336
- 650 _2
- $a prostorová analýza $7 D062206
- 650 _2
- $a Sus scrofa $7 D034421
- 650 _2
- $a prasata $7 D013552
- 651 _2
- $a Polsko $x epidemiologie $7 D011044
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Borowik, Tomasz $u Mammal Research Institute, Polish Academy of Sciences, Białowieża, Poland.
- 700 1_
- $a Łyjak, Magdalena $u National Veterinary Research Institute, Puławy, Poland.
- 700 1_
- $a Woźniakowski, Grzegorz $u National Veterinary Research Institute, Puławy, Poland.
- 773 0_
- $w MED00006663 $t Preventive veterinary medicine $x 1873-1716 $g Roč. 177, č. - (2020), s. 104691
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31122672 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20210105 $b ABA008
- 991 __
- $a 20210114153546 $b ABA008
- 999 __
- $a ok $b bmc $g 1608672 $s 1119517
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2020 $b 177 $c - $d 104691 $e 20190515 $i 1873-1716 $m Preventive veterinary medicine $n Prev Vet Med $x MED00006663
- LZP __
- $a Pubmed-20210105
