Disease modelling and public health.  Part A / 
edited by Arni S.R. Srinivasa Rao, Augusta University, Augusta, GA, United States, Saumyadipta Pyne, Graduate School of Public Health, University of Pittsburgh, PA, United States, C.R. Rao, AIMSCS, University of Hyderabad Campus, Hyderabad, India. 
 - xvi, 493 pages :  illustrations (some color), color map ;  24 cm. 
 - Handbook of statistics ;  volume 36 .
 - Handbook of statistics (Amsterdam, Netherlands) ;  v. 36. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> Addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data. This volume covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers.-- 
<br/><br/><label>ISBN: </label>9780444639684 (hardcover) 
<br/><br/><label>LCCN: </label>2018418579 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Diseases--Mathematical models.<br/>Epidemiology--Statistical methods.<br/>Public health--Statistics.<br/>Epidemiology--statistics & numerical data.<br/>Diseases--Mathematical models.<br/>Epidemiology--Statistical methods.<br/>Public health.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Statistics.
<br/><br/><label>Dewey Class. No.: </label>614.4