Can treatment increase the epidemic size?

Yanyu Xiao, Fred Brauer, Seyed M. Moghadas

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Antiviral treatment is one of the key pharmacological interventions against many infectious diseases. This is particularly important in the absence of preventive measures such as vaccination. However, the evolution of drug-resistance in treated patients and its subsequent spread to the population pose significant impediments to the containment of disease epidemics using treatment. Previous models of population dynamics of influenza infection have shown that in the presence of drug-resistance, the epidemic final size (i.e., the total number of infections throughout the epidemic) is affected by the treatment rate. These models, through simulation experiments, illustrate the existence of an optimal treatment rate, not necessarily the highest possible rate, for minimizing the epidemic final size. However, the conditions for the existence of such an optimal treatment rate have never been found. Here, we provide these conditions for a class of models covered in the literature previously, and investigate the combination effect of treatment and transmissibility of the drug-resistant pathogen strain on the epidemic final size. For the first time, we obtain the final size relations for an epidemic model with two strains of a pathogen (i.e., drug-sensitive and drug-resistant). We also discuss this model with specific functional forms of de novo resistance emergence, and illustrate the theoretical findings with numerical simulations.

Original languageEnglish (US)
Pages (from-to)343-361
Number of pages19
JournalJournal of Mathematical Biology
Volume72
Issue number1-2
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

Fingerprint

Drug Resistance
Pathogens
Drugs
drug resistance
drugs
Infection
Therapeutics
Population dynamics
Pharmaceutical Preparations
Vaccination
pathogens
Influenza
Infectious Diseases
Population Dynamics
Epidemic Model
influenza
Model
infection
Human Influenza
infectious diseases

Keywords

  • Drug-resistance
  • Epidemic modelling
  • Final size relation
  • Reproduction numbers
  • Treatment

ASJC Scopus subject areas

  • Modeling and Simulation
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics

Cite this

Can treatment increase the epidemic size? / Xiao, Yanyu; Brauer, Fred; Moghadas, Seyed M.

In: Journal of Mathematical Biology, Vol. 72, No. 1-2, 01.01.2016, p. 343-361.

Research output: Contribution to journalArticle

Xiao, Yanyu ; Brauer, Fred ; Moghadas, Seyed M. / Can treatment increase the epidemic size?. In: Journal of Mathematical Biology. 2016 ; Vol. 72, No. 1-2. pp. 343-361.
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