Endogenous viral mutations, evolutionary selection, and containment policy design

Patrick Mellacher

Journal of Economic Interaction and Coordination, 2022, vol. 17, issue 3, No 5, 825 pages

Abstract: Abstract How will the novel coronavirus evolve? I study a simple epidemiological model, in which mutations may change the properties of the virus and its associated disease stochastically and antigenic drifts allow new variants to partially evade immunity. I show analytically that variants with higher infectiousness, longer disease duration, and shorter latent period prove to be fitter. “Smart” containment policies targeting symptomatic individuals may redirect the evolution of the virus, as they give an edge to variants with a longer incubation period and a higher share of asymptomatic infections. Reduced mortality, on the other hand, does not per se prove to be an evolutionary advantage. I then implement this model as an agent-based simulation model in order to explore its aggregate dynamics. Monte Carlo simulations show that a) containment policy design has an impact on both speed and direction of viral evolution, b) the virus may circulate in the population indefinitely, provided that containment efforts are too relaxed and the propensity of the virus to escape immunity is high enough, and crucially c) that it may not be possible to distinguish between a slowly and a rapidly evolving virus by looking only at short-term epidemiological outcomes. Thus, what looks like a successful mitigation strategy in the short run, may prove to have devastating long-run effects. These results suggest that optimal containment policy must take the propensity of the virus to mutate and escape immunity into account, strengthening the case for genetic and antigenic surveillance even in the early stages of an epidemic.

Keywords: Phylodynamic model; SIR model; Agent-based model; Covid-19; SARS-CoV2; Pandemic (search for similar items in EconPapers)
JEL-codes: C63 H12 I10 I18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11403-021-00344-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Endogenous viral mutations, evolutionary selection, and containment policy design (2021)
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:spr:jeicoo:v:17:y:2022:i:3:d:10.1007_s11403-021-00344-3

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11403/PS2

DOI: 10.1007/s11403-021-00344-3

Access Statistics for this article

Journal of Economic Interaction and Coordination is currently edited by A. Namatame, Thomas Lux and Shu-Heng Chen

More articles in Journal of Economic Interaction and Coordination from Springer, Society for Economic Science with Heterogeneous Interacting Agents Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().