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Endogenous social distancing and its underappreciated impact on the epidemic curve [Elektronski vir]Gosak, Marko, 1982- ...Social distancing is an efective strategy to mitigate the impact of infectious diseases. If sick or healthy, or both, predominantly socially distance, the epidemic curve fattens. Contact reductions ... may occur for diferent reasons during a pandemic including health-related mobility loss (severity of symptoms), duty of care for a member of a high-risk group, and forced quarantine. Other decisions to reduce contacts are of a more voluntary nature. In particular, sick people reduce contacts consciously to avoid infecting others, and healthy individuals reduce contacts in order to stay healthy. We use game theory to formalize the interaction of voluntary social distancing in a partially infected population. This improves the behavioral micro-foundations of epidemiological models, and predicts diferential social distancing rates dependent on health status. The model's key predictions in terms of comparative statics are derived, which concern changes and interactions between social distancing behaviors of sick and healthy. We ft the relevant parameters for endogenous social distancing to an epidemiological model with evidence from infuenza waves to provide a benchmark for an epidemic curve with endogenous social distancing. Our results suggest that spreading similar in peak and case numbers to what partial immobilization of the population produces, yet quicker to pass, could occur endogenously. Going forward, eventual social distancing orders and lockdown policies should be benchmarked against more realistic epidemic models that take endogenous social distancing into account, rather than be driven by static, and therefore unrealistic, estimates for social mixing that intrinsically overestimate spreading.Source: Scientific reports [Elektronski vir]. - ISSN 2045-2322 (Vol. 11, 2021, str. 1-10)Type of material - e-articlePublish date - 2021Language - englishCOBISS.SI-ID - 50588675
Author
Gosak, Marko, 1982- |
Kraemer, Moritz U. G. |
Nax, Heinrich H. |
Perc, Matjaž |
Pradelski, Bary S. R.
Topics
COVID-19 |
pandemija |
dinamika bolezni |
eksponentna rast |
viralnost |
COVID-19 |
pandemic |
disease dynamics |
exponential growth |
virality
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Author | Gosak, Marko, 1982- ... |
Title | Endogenous social distancing and its underappreciated impact on the epidemic curve [Elektronski vir] |
Publication date | 2021-02-04 |
COBISS.SI-ID | 50588675 |
Publication version in repository | Unidentified |
Publication licence | Creative Commons Attribution 4.0 International |
Embargo | Unidentified |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
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Fazni prehodi proti koordinaciji v večplastnih omrežjih | J1-2457-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
|
Kvantna lokalizacija v kaotičnih sistemih | J1-9112-2018 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
|
Računsko intenzivni kompleksni sistemi | P1-0403-2019 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Gosak, Marko, 1982- | 28405 |
Kraemer, Moritz U. G. | ![]() |
Nax, Heinrich H. | ![]() |
Perc, Matjaž | 23428 |
Pradelski, Bary S. R. | ![]() |
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