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Mathematical and Statistical Estimation Approaches in Epidemiology (Paperback, 2009 ed.)
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Mathematical and Statistical Estimation Approaches in Epidemiology (Paperback, 2009 ed.)
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Mathematical and Statistical Estimation Approaches in Epidemiology
compiles t- oretical and practical contributions of experts in the
analysis of infectious disease epidemics in a single volume. Recent
collections have focused in the analyses and simulation of
deterministic and stochastic models whose aim is to identify and
rank epidemiological and social mechanisms responsible for disease
transmission. The contributions in this volume focus on the
connections between models and disease data with emphasis on the
application of mathematical and statistical approaches that
quantify model and data uncertainty. The book is aimed at public
health experts, applied mathematicians and sci- tists in the life
and social sciences, particularly graduate or advanced
undergraduate students, who are interested not only in building and
connecting models to data but also in applying and developing
methods that quantify uncertainty in the context of infectious
diseases. Chowell and Brauer open this volume with an overview of
the classical disease transmission models of Kermack-McKendrick
including extensions that account for increased levels of
epidemiological heterogeneity. Their theoretical tour is followed
by the introduction of a simple methodology for the estimation of,
the basic reproduction number,R . The use of this methodology 0 is
illustrated, using regional data for 1918-1919 and 1968 in uenza
pandemics.
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