Disease Modelling and Public Health, Part B
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Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 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…mehr

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Produktbeschreibung
Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 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.
Autorenporträt
Arni S.R. Srinivasa Rao works in pure mathematics, applied mathematics, probability, artificial

intelligence and applications in medicine. He had edited these handbooks jointly with renowned statistician Dr. C. R. Rao. He is a Professor at the Medical College of Georgia,

Augusta University, U.S.A., and the Director of the Laboratory for Theory and Mathematical

Modeling housed within the Division of Infectious Diseases, Medical College of Georgia, Augusta,

U.S.A. Previously, Dr. Rao conducted research and/or taught at the Mathematical Institute, University of Oxford (2003, 2005-07), Indian Statistical Institute (1998-2002, 2006-2012), Indian Institute of Science (2002-04), University of Guelph (2004-06). Until 2012, Dr. Rao held a permanent faculty position at the Indian Statistical Institute. He has won the Heiwa-Nakajima Award (Japan) and Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi). Dr. Rao also proved a major theorem in stationary population models, such as, Rao's Partition Theorem in

Populations, Rao-Carey Theorem in stationary populations, and developed mathematical

modeling-based policies for the spread of diseases like HIV, H5N1, COVID-19, etc. He developed

a new set of network models for understanding avian pathogen biology on grid graphs (these were

called chicken walk models), AI Models for COVID-19, and received wide coverage in the science

media. Dr. Rao is an elected Fellow of ISMMACS (Indian Society for Mathematical Modeling and

Computer Simulation), and ISPS (Indian Society for Probability and Statistics). He developed

concepts such as "Exact Deep Learning Machines?, and "Multilevel Contours within a bundle of Complex Number Planes?.