Navigation überspringen
Universitätsbibliothek Heidelberg
Standort: ---
Exemplare: ---
heiBIB
 Online-Ressource
Verfasst von:Bâldea, Ioan [VerfasserIn]   i
Titel:What can we learn from the time evolution of COVID-19 epidemic in Slovenia?
Verf.angabe:Ioan Bâldea
Jahr:2021
Umfang:8 S.
Fussnoten:Gesehen am 12.04.2023
Titel Quelle:Enthalten in: Advanced theory and simulations
Ort Quelle:Weinheim : Wiley-VCH Verlag, 2018
Jahr Quelle:2021
Band/Heft Quelle:4(2021), 7, Artikel-ID 2000225, Seite 1-8
ISSN Quelle:2513-0390
Abstract:A recent work indicates that temporarily splitting larger populations into smaller groups can efficiently mitigate the spread of SARS-CoV-2 virus. The fact that, soon afterward, the two million people Slovenia was the first European country proclaiming the end of COVID-19 epidemic within national borders may be relevant from this perspective. Motivated by this evolution, in this paper the time dynamics of coronavirus cases in Slovenia is investigated with emphasis on how efficient various containment measures act to diminish the number of COVID-19 infections. Noteworthily, the present analysis does not rely on any speculative theoretical assumption; it is solely based on raw epidemiological data. Out of the results presented here, the most important one is perhaps the finding that, while imposing drastic curfews and travel restrictions reduce the infection rate κ by a factor of four with respect to the unrestricted state, they only improve the κ-value by ≈15% as compared to the much bearable state of social and economic life wherein wearing face masks and social distancing rules are enforced/followed. Significantly for behavioral and social science, our analysis may reveal an interesting self-protection instinct of the population, which became manifest even before the official lockdown enforcement.
DOI:doi:10.1002/adts.202000225
URL:kostenfrei: Volltext: https://doi.org/10.1002/adts.202000225
 kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/adts.202000225
 DOI: https://doi.org/10.1002/adts.202000225
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:COVID-19
 epidemic propagation
 epidemiological curves
 linear fit model
 logistic model
 SARS-CoV-2 virus
K10plus-PPN:1842051296
Verknüpfungen:→ Zeitschrift
 
 
Lokale URL UB: Zum Volltext

Permanenter Link auf diesen Titel (bookmarkfähig):  https://katalog.ub.uni-heidelberg.de/titel/69064566   QR-Code
zum Seitenanfang