Abstract

The basic reproductive number, mathcal {R}_{0}, provides a foundation for evaluating how various factors affect the incidence of infectious diseases. Recently, it has been suggested that, particularly for vector-transmitted diseases, mathcal {R}_{0} should be modified to account for the effects of finite host population within a single disease transmission generation. Here, we use a transmission factor approach to calculate such “finite-population reproductive numbers,” under the assumption of homogeneous mixing, for both vector-borne and directly transmitted diseases. In the case of vector-borne diseases, we estimate finitepopulation reproductive numbers for both host-to-host and vector-to-vector generations, assuming that the vector population is effectively infinite. We find simple, interpretable formulas for all three of these quantities. In the direct case, we find that finite-population reproductive numbers diverge from mathcal {R}_{0} before mathcal {R}_{0} reaches half of the population size. In the vector-transmitted case, we find that the host-to-host number diverges at even lower values of mathcal {R}_{0}, while the vector-to-vector number diverges very little over realistic parameter ranges.

Highlights

  • The basic reproductive number, R0, measures the expected number of new infections that can be traced back to a single infectious individual in an otherwise totally susceptible population

  • For a vector-borne disease, we look at cycles of transmission: for R(H ), we start with one typical infected host and calculate how many vectors are infected from that host, and how many hosts will become infected, on average, from that distribution of vectors; likewise for Z(H ), we start with one infected vector, calculate how many hosts it infects and how many vectors those hosts are expected to infect

  • We explore the effects of smaller vector-population sizes in the appendix

Read more

Summary

Introduction

The basic reproductive number, R0, measures the expected number of new infections that can be traced back to a single infectious individual in an otherwise totally susceptible population. The concept of R0 provides a foundation for evaluating when infectious diseases can spread in a population, what factors determine disease inci-. When interventions can eliminate disease (Dietz 1993; Heffernan et al 2005). Its foundations go back over a century (Ross 1910; Kermack and McKendrick 1927)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call