This book is designed to fill this gap. By reading the book and completing the accompanying exercises, readers will understand the basic methods for setting up mathematical models and how and where models can be applied.
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They will also gain an improved understanding of the factors which influencethe patterns and trends in infectious diseases. This book will be of interest to epidemiologists, public health researchers, policy makers, veterinary scientists, medical statisticians and infectious disease researchers. Emilia has worked on modelling the transmission and control of several different infectious diseases including tuberculosis, rubella, pandemic and seasonal influenza, measles and HIV.
Richard is currently involved in modelling projects on the transmission and control of many infectious diseases including HIV, tuberculosis, herpes simplex virus-2, influenza, human papillomavirus and rift valley fever, in places as diverse as Senegal and Soho.
An introduction to infectious disease modelling
He is associate editor of the journal Sexually Transmitted Infections. Read about how to submit your assignment. You should familiarize yourself with the rules that apply to the use of sources and citations. Read more about the grading system.
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt. Application form, deadline and requirements for special examination arrangements. The course is subject to continuous evaluation.
At regular intervals we also ask students to participate in a more comprehensive evaluation. How to apply.
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An Introduction to Infectious Disease Modelling - Emilia Vynnycky, Richard White - كتب Google
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Menu Search. Sub navigation Studies Courses MF Course content The course is intended to give a conceptual understanding of the basic techniques available for analysing and interpreting epidemiological data on infectious diseases. Admission Enrollment to this course is automatically registered in StudentWeb. Prerequisites Recommended previous knowledge The target group for the course are Ph.
Teaching The course will be divided between lectures and group sessions. Examination A take-home exam will be given at the end of the course.