EconPapers    
Economics at your fingertips  
 

Modeling social distancing and “spontaneous” infection in an epidemic outbreak phase—Application to the 2020 pandemic

Gad Frenkel and Moshe Schwartz

Physica A: Statistical Mechanics and its Applications, 2021, vol. 567, issue C

Abstract: We generalize the SIR equations for epidemic evolution to include the effect of social distancing and “spontaneous” infection. We show that the model, describes well the evolution of the corona 2020 epidemic in a number of countries, in the outbreak phase, defined as the period terminating with the first maximum in the infected fraction of the population.

Keywords: SIR Model; Covid19; Statistical physics; Differential equations (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437120310256
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:567:y:2021:i:c:s0378437120310256

DOI: 10.1016/j.physa.2020.125727

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:567:y:2021:i:c:s0378437120310256