The estimation of the basic reproduction number for infectious diseases
- 1 March 1993
- journal article
- review article
- Published by SAGE Publications in Statistical Methods in Medical Research
- Vol. 2 (1) , 23-41
- https://doi.org/10.1177/096228029300200103
Abstract
The basic reproduction number Ro is the number of secondary cases which one case would produce in a completely susceptible population. It depends on the duration of the infectious period, the probability of infecting a susceptible individual during one contact, and the number of new susceptible individuals contacted per unit of time. Therefore Ro may vary considerably for different infectious diseases but also for the same disease in different populations. The key threshold result of epidemic theory associates the outbreaks of epidemics and the persistence of endemic levels with basic reproduction numbers greater than one. Because the magnitude of R0 allows one to determine the amount of effort which is necessary either to prevent an epidemic or to eliminate an infection from a population, it is crucial to estimate Ro for a given disease in a particular population. The present paper gives a survey about the various estimation methods available.Keywords
This publication has 35 references indexed in Scilit:
- Martingale methods for the analysis of epidemic dataStatistical Methods in Medical Research, 1993
- Mathematical modelling and theory for estimating the basic reproduction number of canine leishmaniasisParasitology, 1992
- The basic reproduction ratio for sexually transmitted diseases: I. theoretical considerationsMathematical Biosciences, 1991
- Model fitting and projection of the AIDS epidemicMathematical Biosciences, 1991
- The potential for spread of HIV in the heterosexual population in Norway: A model studyStatistics in Medicine, 1991
- Age Preference in Sexual Choice and the Basic Reproduction Number of HIV/AIDSBiometrical Journal, 1990
- On Measures and Models for the Effectiveness of Vaccines and Vaccination ProgrammesInternational Journal of Epidemiology, 1988
- Epidemiological models for heterogeneous populations: proportionate mixing, parameter estimation, and immunization programsMathematical Biosciences, 1987
- Vectorial capacity: Must we measure all its components?Parasitology Today, 1986
- Age-related changes in the rate of disease transmission: implications for the design of vaccination programmesEpidemiology and Infection, 1985