(UM)
-
Community lockdowns in social networks hardly mitigate epidemic spreading [Elektronski vir]Gosak, Marko, 1982- ...Community lockdowns and travel restrictions are commonly employed to decelerate epidemic spreading. We here use a stochastic susceptible-infectious-recovered model on different social networks to ... determine when and to what degree such lockdowns are likely to be effective. Our research shows that community lockdowns are effective only if the links outside of the communities are virtually completely sealed off. The benefits of targeting specifically these links, as opposed to links uniformly at random across the whole network, are inferable only beyond 90% lockdown effectiveness. And even then the peak of the infected curve decreases by only 20% and its onset is delayed by a factor of 1.5. This holds for static and temporal social networks, regardless of their size and structural particularities. Networks derived from cell phone location data and online location-based social platforms yield the same results as a large family of hyperbolic geometric network models where characteristic path lengths, clustering, and community structure can be arbitrarily adjusted. The complex connectedness of modern human societies, which enables the ease of global communication and the lightning speeds at which news and information spread, thus makes it very difficult to halt epidemic spreading with top-down measures. We therefore emphasize the outstanding importance of endogenous self-isolation and social distancing for successfully arresting epidemic spreading.Vir: New journal of physics [Elektronski vir]. - ISSN 1367-2630 (Vol. 23, no. 4, Apr. 2021, str. 1-10)Vrsta gradiva - e-članek ; neleposlovje za odrasleLeto - 2020Jezik - angleškiCOBISS.SI-ID - 60751363
Avtor
Gosak, Marko, 1982- |
Duh, Maja, fizičarka, 1990- |
Markovič, Rene |
Perc, Matjaž
Teme
COVID-19 |
pandemija |
dinamika bolezni |
eksponentna rast |
ukrepi |
družba |
COVID-19 |
pandemic |
disease dynamics |
exponential growth |
lockdown |
society
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|---|
Gosak, Marko, 1982- | 28405 |
Duh, Maja, fizičarka, 1990- | 52035 |
Markovič, Rene | 34480 |
Perc, Matjaž | 23428 |
Vir: Osebne bibliografije
in: SICRIS
Izberite prevzemno mesto:
Prevzem gradiva po pošti
Naslov za dostavo:
Med podatki člana manjka naslov.
Storitev za pridobivanje naslova trenutno ni dostopna, prosimo, poskusite še enkrat.
S klikom na gumb "V redu" boste potrdili zgoraj izbrano prevzemno mesto in dokončali postopek rezervacije.
S klikom na gumb "V redu" boste potrdili zgoraj izbrano prevzemno mesto in naslov za dostavo ter dokončali postopek rezervacije.
S klikom na gumb "V redu" boste potrdili zgoraj izbrani naslov za dostavo in dokončali postopek rezervacije.
Obvestilo
Trenutno je storitev za avtomatsko prijavo in rezervacijo nedostopna. Gradivo lahko rezervirate sami na portalu Biblos ali ponovno poskusite tukaj kasneje.
Gesla v Splošnem geslovniku COBISS
Izbira mesta prevzema
Gradivo iz matične enote je brezplačno. Če je gradivo na mesto prevzema dostavljeno iz drugih enot, lahko knjižnica to storitev zaračuna.
Mesto prevzema | Status gradiva | Rezervacija |
---|
Rezervacija v teku
Prosimo, počakajte trenutek.
Rezervacija je uspela.
Rezervacija ni uspela.
Rezervacija...
Članska izkaznica:
Mesto prevzema: