Justin Lessler

The major focus of my research is the development and application of statistics, dynamic models and novel study designs to better understand and control infectious disease. In particular, I am interested in creating synergies between infection control practice, data collection and infectious disease dynamics. Exemplary of this goal, my collaborators and I have developed methods to estimate the distribution of incubation periods for an infectious disease using coarse data, applied these methods to develop the best available estimates for a number of viruses, and showed how these estimates can be used to improve infection control practice. My current research projects include work on the transmission dynamics of influenza in southern China, and the most effective use of vaccine in the control of measles and cholera. I am a member of the Infectious Disease Dynamics group.

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Measuring and Maximizing Impact of COVID-19 Contact Tracing (Coursera)

This course aims to provide managers and developers of contact tracing programs guidance on the most important indicators of performance of a contact tracing program, and a tool that can be used to project the likely impact of improvements in specific indicators. Students who complete the course will be [...]
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Outbreaks and Epidemics (Coursera)

Professional epidemiologists are often called on to investigate outbreaks and epidemics. This course serves as an introduction to the essentials of investigation, identifying pathogens, figuring out what's going on, reporting, and responding. You'll learn how to ask precise epidemiologic questions and apply epidemiologic tools to uncover the answers. [...]
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Fighting COVID-19 with Epidemiology: A Johns Hopkins Teach-Out (Coursera)

This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections. The COVID-19 epidemic has made many people want to understand the science behind pressing questions like: "How many people [...]
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