Cargando…
What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia?
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 bo...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212090/ https://www.ncbi.nlm.nih.gov/pubmed/34179685 http://dx.doi.org/10.1002/adts.202000225 |
_version_ | 1783709606959120384 |
---|---|
author | Bâldea, Ioan |
author_facet | Bâldea, Ioan |
author_sort | Bâldea, Ioan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8212090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82120902021-06-21 What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? Bâldea, Ioan Adv Theory Simul Full Papers 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. John Wiley and Sons Inc. 2021-06-04 2021-07 /pmc/articles/PMC8212090/ /pubmed/34179685 http://dx.doi.org/10.1002/adts.202000225 Text en © 2021 The Authors. Advanced Theory and Simulations published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Full Papers Bâldea, Ioan What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? |
title | What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? |
title_full | What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? |
title_fullStr | What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? |
title_full_unstemmed | What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? |
title_short | What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia? |
title_sort | what can we learn from the time evolution of covid‐19 epidemic in slovenia? |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212090/ https://www.ncbi.nlm.nih.gov/pubmed/34179685 http://dx.doi.org/10.1002/adts.202000225 |
work_keys_str_mv | AT baldeaioan whatcanwelearnfromthetimeevolutionofcovid19epidemicinslovenia |