Probability Measure and Public Health
A unique book in didactic probability, Probability, Measure, and Public Health in 950 pages covers a wide area of probability directly related to public health. Its comprehensive review of basic measure theory puts the helpful doctrines of this field within easy reach of advanced undergraduate, and, graduate, post-graduate biostatistics students who have been led to believe that this is beyond their grasp. The integration of measure theory into the discussions of probability distribution at a foundation level helps the student appreciate the perspective of measure theory, and most importantly, see problems not as either continuous or discrete probability distribution, but as simply problems, with a a measure theoretic solution that pulls from both schools of probability distribution. The use of hyperlinks allows students to quickly find the solution they need as a prerequisite or as a follow-up. Most all examples in this text pull from public health problems, with particular emphasis on the COVID-19 pandemic. The biographical backgrounds of many of the probabilists who have made contributions to the field give the students a sense of the history.
