Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/4166
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dc.contributor.authorSalom, Igoren_US
dc.contributor.authorRodic, Andjelaen_US
dc.contributor.authorMilicevic, Ognjenen_US
dc.contributor.authorZigic, Dusanen_US
dc.contributor.authorIlic, Bojanaen_US
dc.contributor.authorDjordjevic, Magdalenaen_US
dc.contributor.authorDjordjevic, Markoen_US
dc.date.accessioned2021-09-30T16:50:14Z-
dc.date.available2021-09-30T16:50:14Z-
dc.date.issued2021-06-
dc.identifier.issn2334-6590-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/4166-
dc.descriptionBiologia Serbica, JUNE 2021, Vol. 43 - No. 1 Special Edition Predavanje po pozivu održala Anđela Rodić.en_US
dc.description.abstractBiophysicists from the Faculty of Biology, in collaboration with scientists and teachers from the Institute of Physics and the Faculty of Medicine, conducted a study of the influence of demographic and climatic fac - tors on the SARS-CoV-2 virus transmission in the population. A nonlinear dynamic compartmental model of epidemic spread was constructed and combined with a bioinformatics approach (collection and analysis of large amounts of data) and the analysis of widespread patterns of infection growth (scaling relations in biophysics). The obtained results indicate that several demographic and meteorological factors significantly affect the basic reproduction number - a measure of the inherent transmission of the virus in a population with given demographic characteristics and weather conditions in the absence of control measures. The disproportion between the intensive spread of the infection in Wuhan (Hubei) and the much smaller case counts in other Chinese provinces was also analyzed. It has been suggested that this puzzle can be explained by a combination of significantly higher inherent virus transmission in Wuhan and greater effectiveness of epidemic control measures in other provinces. Overall, the results of these analyzes indicate that the dynamics of epidemic spread may significantly depend on potentially highly heterogeneous and seemingly random factors, such as variations in demographic and meteorological conditions, as well as their complex interaction with introduced control measures. Under- standing these factors is crucial, not only for risk estimation during a pandemic but also for long-term prediction of virus behavior in a population if the COVID-19 disease becomes endemic.en_US
dc.publisherDepartment of Biology and Ecology, Faculty of Sciences, University of Novi Saden_US
dc.relation.ispartofBiologia Serbicaen_US
dc.subjectcompartmental modelen_US
dc.subjectbioinformaticsen_US
dc.subjectCOVID-19en_US
dc.subjectbasic reproduction numberen_US
dc.subjectenvironmental effectsen_US
dc.titleBiophysical and bioinformatics approach to study sociodemographic and weather impacts on the SARS-CoV-2 virus transmissibilityen_US
dc.typeConference Paperen_US
dc.relation.conferenceBelgrade BioInformatics Conference 2021, 21-25 June 2021, Vinča, Serbiaen_US
dc.date.updated2023-10-14-
dc.description.rankM32en_US
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptChair of General Physiology and Biophysics-
crisitem.author.deptChair of General Physiology and Biophysics-
crisitem.author.orcid0000-0003-2872-9066-
crisitem.author.orcid0000-0002-2903-3119-
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