Published 04 December 2017
Saumyadipta Pyne, scientific director of the Public Health Dynamics Laboratory of Pitt Public Health, and co-editors Arni Srinivasa Rao and C.R. Rao have recently published a 2-volume title, 'Disease Modelling and Public Health', as part of the highly regarded Handbook of Statistics series from Elsevier.
Their title addresses new challenges in existing and emerging diseases over 30 comprehensive chapters covering a variety of topics including mathematical modelling of mass screening and parameter estimation, agent-based models for infectious disease transmission, reaction diffusion equations and their application to bacterial communication, Bayesian disease mapping, real time estimation of the case fatality ratio and risk factor of death, dynamic risk prediction for cardiovascular diseases, methodological advances such as spike and slab methods in disease modelling and finite mixture models, and models of individual and collective behavior for Public Health Epidemiology.
It 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. The editors believe that it will serve as a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population or in formulating public health policy.