Related Experiment Video
Updated: Jun 10, 2025

Measuring Microbial Mutation Rates with the Fluctuation Assay
Published on: November 28, 2019
Bounding the generation time distribution uncertainty on R0 estimation from exponential growth rates
James Cochran1, Bogdan Oancea2, Dan Pirjol3
1Culverhouse College of Business, The University of Alabama, Tuscaloosa, AL, USA.
None:
The basic reproduction number is one of the main parameters determining the spreading of an epidemic in a population of susceptible individuals. Wallinga and Lipsitch proposed a method for estimating using the Euler-Lotka equation, which requires the Laplace transform of the generation interval distribution. The determination of the generation time distribution is challenging, as the generation time is not directly observable. We prove upper and lower bounds on using only the first few moments of the generation interval distributions and study the sensitivity of the bounds to these parameters. The bounds do not require the exact shape of the generation interval distribution and give robust estimates of the relationship.
Related Concept Videos
Generation Time
Propagation of Uncertainty from Random Error
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Distributions to Estimate Population Parameter
Estimating Population Standard Deviation
Estimating Population Mean with Unknown Standard Deviation
William S. Gosset (1876–1937) of the...

