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Updated: Sep 8, 2025

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice
Published on: February 22, 2019
On the management of population immunity
Flavio Toxvaerd1,2, Robert Rowthorn2
1Faculty of Economics, University of Cambridge, United Kingdom.
This study models infectious diseases like COVID-19, showing that optimal treatment is best early in an epidemic, while vaccination is more effective at intermediate stages. Both strategies build herd immunity, but their timing and economic impacts differ.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health Economics
Background:
- Infectious disease models (SIR) track susceptible, infected, and recovered individuals.
- Herd immunity protects susceptible populations through indirect immunity from recovered individuals.
- Costly interventions like treatment and vaccination can confer immunity.
Purpose of the Study:
- To analyze the optimal timing and economic implications of treatment versus vaccination strategies.
- To compare socially optimal intervention policies with equilibrium outcomes.
- To contrast economic interventions with traditional public health approaches based on herd immunity thresholds.
Main Methods:
- Development and analysis of a susceptible-infected-recovered (SIR) mathematical model.
- Economic modeling of treatment and vaccination costs and benefits.
- Comparative analysis of optimal control strategies versus market equilibrium.
Main Results:
- Optimal treatment intervention is most effective at the early stages of an epidemic.
- Optimal vaccination intervention may be deferred to intermediate epidemic stages.
- Equilibrium vaccination strategies closely resemble socially optimal ones, but equilibrium treatment strategies diverge significantly.
Conclusions:
- Treatment and vaccination, while inducing herd immunity, have distinct optimal intervention timings and economic consequences.
- Economic incentives can influence vaccination behavior towards socially optimal levels, but not necessarily treatment behavior.
- Understanding these differences is crucial for effective public health policy and resource allocation during epidemics.
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