Ping Yan is the manager of a research team in modelling and projection at Public Health Agency of Canada and an adjunct professor at Department of Statistics and Actuarial Science, University of Waterloo.  He applies statistical and mathematical models in communicable diseases transmission, prevention and control, with a wide range of topics from estimation of HIV/AIDS and viral hepatitis disease burden to informing policy regarding pandemic influenza preparedness, vaccination and emergency response.Gerardo Chowell is Professor of Epidemiology and Biostatistics at the Georgia State University School of Public Health in Atlanta, where he is also Chair of the Department of Population Health Sciences. He is also an adjunct faculty member at Arizona State University and a Senior Research Fellow at the Fogarty International Center, National Institutes of Health. His research program focuses on the development mathematical models and statistical methods to investigate the spread and control of infectious diseases.

“With the current Covid-19 pandemic the book can be very useful and timely for many interested readers. … The book has exercises of different levels of difficulty, and some can be extended for student projects. Thus, this book can be useful for graduate students, and researchers involved in mathematical epidemiology.” (MAA Reviews, August 1, 2020)

• Introduction.- Shapes of hazard functions and lifetime distributions.- Random counts and counting processes.- The initial phase of an outbreak.- Compartment models.- More complex models and control measures.- Some statistical issues.- Outbreak trajectories.- Spatial structures and behavior change.

Ping Yan is the manager of a research team in modelling and projection at Public Health Agency of Canada and an adjunct professor at Department of Statistics and Actuarial Science, University of Waterloo.  He applies statistical and mathematical models in communicable diseases transmission, prevention and control, with a wide range of topics from estimation of HIV/AIDS and viral hepatitis disease burden to informing policy regarding pandemic influenza preparedness, vaccination and emergency response.Gerardo Chowell is Professor of Epidemiology and Biostatistics at the Georgia State University School of Public Health in Atlanta, where he is also Chair of the Department of Population Health Sciences. He is also an adjunct faculty member at Arizona State University and a Senior Research Fellow at the Fogarty International Center, National Institutes of Health. His research program focuses on the development mathematical models and statistical methods to investigate the spread and control of infectious diseases.

“With the current Covid-19 pandemic the book can be very useful and timely for many interested readers. … The book has exercises of different levels of difficulty, and some can be extended for student projects. Thus, this book can be useful for graduate students, and researchers involved in mathematical epidemiology.” (MAA Reviews, August 1, 2020)

• Introduction.- Shapes of hazard functions and lifetime distributions.- Random counts and counting processes.- The initial phase of an outbreak.- Compartment models.- More complex models and control measures.- Some statistical issues.- Outbreak trajectories.- Spatial structures and behavior change.

Ping Yan is the manager of a research team in modelling and projection at Public Health Agency of Canada and an adjunct professor at Department of Statistics and Actuarial Science, University of Waterloo.  He applies statistical and mathematical models in communicable diseases transmission, prevention and control, with a wide range of topics from estimation of HIV/AIDS and viral hepatitis disease burden to informing policy regarding pandemic influenza preparedness, vaccination and emergency response.Gerardo Chowell is Professor of Epidemiology and Biostatistics at the Georgia State University School of Public Health in Atlanta, where he is also Chair of the Department of Population Health Sciences. He is also an adjunct faculty member at Arizona State University and a Senior Research Fellow at the Fogarty International Center, National Institutes of Health. His research program focuses on the development mathematical models and statistical methods to investigate the spread and control of infectious diseases.

“With the current Covid-19 pandemic the book can be very useful and timely for many interested readers. … The book has exercises of different levels of difficulty, and some can be extended for student projects. Thus, this book can be useful for graduate students, and researchers involved in mathematical epidemiology.” (MAA Reviews, August 1, 2020)

• Introduction.- Shapes of hazard functions and lifetime distributions.- Random counts and counting processes.- The initial phase of an outbreak.- Compartment models.- More complex models and control measures.- Some statistical issues.- Outbreak trajectories.- Spatial structures and behavior change.