Closed-form solutions for optimal social distancing in a SIR model of COVID-19 suppression / Reyer Gerlagh

I present a stylized suspected-infected-recovered (SIR) model of COVID-19, with symptomatic versus asymptomatic patients, and social distancing intervention. The optimal suppress strategy has low-infection rates, enabling assumptions that support closed-form solutions. The model predicts high costs of social distancing in comparison to health costs of the disease; it separates public versus private benefits of social distancing, and determines the required level of group immunity for relaxing social distance intervention. I extend the model with heterogeneous population for preferences over social contacts, health costs, and transmission. Heterogeneity in transmission intensity offers most opportunities for reduced costs under a differentiated social distancing policy..

Medienart:

E-Book

Erscheinungsjahr:

May 2020

Erschienen:

Munich, Germany: CESifo, Center for Economic Studies & Ifo Institute ; May 2020

Reihe:

CESifo working paper - no. 8335 (2020)

Sprache:

Englisch

Beteiligte Personen:

Gerlagh, Reyer, 1969- [VerfasserIn]

Links:

www.cesifo.org [kostenfrei]
www.cesifo.org [kostenfrei]
hdl.handle.net [kostenfrei]

Umfang:

1 Online-Ressource (circa 26 Seiten)

Weitere IDs:

10419/219153

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

1700110918