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dc.contributor.authorRadojičić, Sonja
dc.contributor.authorŽivulj, Aleksandar
dc.contributor.authorPetrović, Tamaš
dc.contributor.authorNišavić, Jakov
dc.contributor.authorMilićević, Vesna
dc.contributor.authorSipetić-Grujičić, Sandra
dc.contributor.authorMišić, Dušan
dc.contributor.authorKorzeniowska, Malgorzata
dc.contributor.authorStanojević, Slavoljub
dc.date.accessioned2021-10-14T08:42:24Z
dc.date.available2021-10-14T08:42:24Z
dc.date.issued2021
dc.identifier.citationRadojicic, S.; Zivulj, A.; Petrovic, T.; Nisavic, J.; Milicevic, V.; Sipetic-Grujicic, S.; Misic, D.; Korzeniowska, M.; Stanojevic, S. Spatiotemporal analysis of West Nile virus epidemic in South Banat District, -Serbia, 2017–2019. Animals 2021, 11, 2951. https://doi.org/10.3390/ani11102951en_US
dc.identifier.issn2076-2615
dc.identifier.urihttps://repo.niv.ns.ac.rs/xmlui/handle/123456789/422
dc.description.abstractWest Nile virus (WNV) is an arthropod-born pathogen, which is transmitted from wild birds through mosquitoes to humans and animals. At the end of the 20th century, the first West Nile fever (WNF) outbreaks among humans in urban environments in Eastern Europe and the United States were reported. The disease continued to spread to other parts of the continents. In Serbia, the largest number of WNV-infected people was recorded in 2018. This research used spatial statistics to identify clusters of WNV infection in humans and animals in South Banat County, Serbia. The occurrence of WNV infection and risk factors were analyzed using a negative binomial regression model. Our research indicated that climatic factors were the main determinant of WNV distribution and were predictors of endemicity. Precipitation and water levels of rivers had an important influence on mosquito abundance and affected the habitats of wild birds, which are important for maintaining the virus in nature. We found that the maximum temperature of the warmest part of the year and the annual temperature range; and hydrographic variables, e.g., the presence of rivers and water streams were the best environmental predictors of WNF outbreaks in South Banat County.en_US
dc.description.sponsorshipThe publication is co-financed under the Leading Research Groups support project from the subsidy increased for the period 2020–2025 in the amount of 2% of the subsidy referred to Art. 387 (3) of the Law of 20 July 2018 on Higher Education and Science, obtained in 2019. The study was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, grant numbers 451-03-9/2021-14/200143 and 451-03-9/2021-14/200031.en_US
dc.language.isoenen_US
dc.sourceAnimalsen
dc.subjectWest Nile virusen_US
dc.subjectmosquitoesen_US
dc.subjectsentinel animalsen_US
dc.subjectspatial analysisen_US
dc.subjectGISen_US
dc.titleSpatiotemporal Analysis of West Nile Virus Epidemic in South Banat District, Serbia, 2017–2019en_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ani11102951


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