Effect of Quarantine Strategies in a Compartmental Model with Asymptomatic Groups
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F24%3A00138892" target="_blank" >RIV/00216224:14110/24:00138892 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/47813059:19610/24:A0000156
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s10884-021-10059-5" target="_blank" >https://link.springer.com/article/10.1007/s10884-021-10059-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10884-021-10059-5" target="_blank" >10.1007/s10884-021-10059-5</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Effect of Quarantine Strategies in a Compartmental Model with Asymptomatic Groups
Popis výsledku v původním jazyce
We present an epidemiological model, which extend the classical SEIR model by accounting for the presence of asymptomatic individuals and the effect of isolation of infected individuals based on testing. Moreover, we introduce two types of home quarantine, namely gradual and abrupt one. We compute the equilibria of the new model and derive its reproduction number. Using numerical simulations we analyze the effect of quarantine and testing on the epidemic dynamic. Given a constraint that limits the maximal number of simultaneous active cases, we demonstrate that the isolation rate, which enforces this constraint, decreases with the increasing testing rate. Our simulations show that massive testing allows to control the infection spread using a much lower isolation rate than in the case of indiscriminate quarantining. Finally, based on the effective reproduction number we suggest a strategy to manage the epidemic. It consists in introducing abrupt quarantine as well as relaxing the quarantine in such a way that the epidemic remains under control and further waves do not occur. We analyze the sensitivity of the model dynamic to the quarantine size, timing and strength of the restrictions.
Název v anglickém jazyce
Effect of Quarantine Strategies in a Compartmental Model with Asymptomatic Groups
Popis výsledku anglicky
We present an epidemiological model, which extend the classical SEIR model by accounting for the presence of asymptomatic individuals and the effect of isolation of infected individuals based on testing. Moreover, we introduce two types of home quarantine, namely gradual and abrupt one. We compute the equilibria of the new model and derive its reproduction number. Using numerical simulations we analyze the effect of quarantine and testing on the epidemic dynamic. Given a constraint that limits the maximal number of simultaneous active cases, we demonstrate that the isolation rate, which enforces this constraint, decreases with the increasing testing rate. Our simulations show that massive testing allows to control the infection spread using a much lower isolation rate than in the case of indiscriminate quarantining. Finally, based on the effective reproduction number we suggest a strategy to manage the epidemic. It consists in introducing abrupt quarantine as well as relaxing the quarantine in such a way that the epidemic remains under control and further waves do not occur. We analyze the sensitivity of the model dynamic to the quarantine size, timing and strength of the restrictions.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30230 - Other clinical medicine subjects
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of dynamics and differential equations.
ISSN
1040-7294
e-ISSN
1572-9222
Svazek periodika
36
Číslo periodika v rámci svazku
SUPPL 1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
24
Strana od-do
199-222
Kód UT WoS článku
001174946100011
EID výsledku v databázi Scopus
2-s2.0-85113368513