A novel outbreak will generally not be detected until such a time that it has become established. When such an outbreak is detected, public health officials must determine the potential of the outbreak, for which the basic reproductive numberR₀ is an important factor. However, it is often the case that the resulting estimate of R₀ is positively-biased for a number of reasons. One commonly overlooked reason is that the outbreak was not detected until such a time that it had become established, and therefore did not experience initial fade out. We propose a method which accounts for this bias by conditioning the underlying epidemic model on becoming established and demonstrate that this approach leads to a less-biased estimate of R₀ during th...
We study the basic reproduction number (R0) in an epidemic model where infected individuals are init...
Abstract The time-varying reproduction number (Rt: the average number secondary infections caused b...
This is a pedagogical paper on estimating the number of people that can be infected by one infectiou...
When an infectious disease strikes a population, the number of newly reported cases is often the onl...
The basic reproduction number is a fundamental measure used to characterize infectious disease outbr...
Background: Estimating the transmissibility of infectious diseases is key to inform situational awar...
As the SARS-CoV-2 pandemic continues its rapid global spread, quantification of local transmission p...
We analyse data from the early epidemic of H1N1-2009 in New Zealand, and estimate the reproduction n...
BACKGROUND: The United States was the second country to have a major outbreak of novel influenza A/H...
Background. In many parts of the world, the exponential growth rate of infections during the initial...
This paper focuses on a fundamental input parameter for most existing mathematical models of pandemi...
The basic reproduction number, R0, a summary measure of the transmission potential of an infectious ...
When controlling an emerging outbreak of an infectious disease, it is essential to know the key epid...
<div><p>Emerging and re-emerging infections such as SARS (2003) and pandemic H1N1 (2009) have caused...
The basic reproductive number, R0, is a well-known quantifier of the rate of spread of an epidemic. ...
We study the basic reproduction number (R0) in an epidemic model where infected individuals are init...
Abstract The time-varying reproduction number (Rt: the average number secondary infections caused b...
This is a pedagogical paper on estimating the number of people that can be infected by one infectiou...
When an infectious disease strikes a population, the number of newly reported cases is often the onl...
The basic reproduction number is a fundamental measure used to characterize infectious disease outbr...
Background: Estimating the transmissibility of infectious diseases is key to inform situational awar...
As the SARS-CoV-2 pandemic continues its rapid global spread, quantification of local transmission p...
We analyse data from the early epidemic of H1N1-2009 in New Zealand, and estimate the reproduction n...
BACKGROUND: The United States was the second country to have a major outbreak of novel influenza A/H...
Background. In many parts of the world, the exponential growth rate of infections during the initial...
This paper focuses on a fundamental input parameter for most existing mathematical models of pandemi...
The basic reproduction number, R0, a summary measure of the transmission potential of an infectious ...
When controlling an emerging outbreak of an infectious disease, it is essential to know the key epid...
<div><p>Emerging and re-emerging infections such as SARS (2003) and pandemic H1N1 (2009) have caused...
The basic reproductive number, R0, is a well-known quantifier of the rate of spread of an epidemic. ...
We study the basic reproduction number (R0) in an epidemic model where infected individuals are init...
Abstract The time-varying reproduction number (Rt: the average number secondary infections caused b...
This is a pedagogical paper on estimating the number of people that can be infected by one infectiou...