Abstract
A mathematical epidemiologist working on transmission networks of infectious diseases and a genetic epidemiologist searching for genes linked to predisposition to cancer might have few, or possibly even no, interests in common except the hope that their work will help reduce disease burden. The vastness of the discipline makes it a daunting task to write an up-to-date, attractive, and concise introductory textbook and imposes difficult choices on what material to include and exclude.
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