This work is aimed at understanding and unifying information on epidemiological modelling
methods and how those methods relate to public policy addressing human health …

The dominant approach to decision-making in public health policy for infectious diseases
relies heavily on expert opinion, which often applies empirical evidence to policy questions …

The coronavirus disease 2019 (COVID-19) pandemic that has had the world in its grip since
the beginning of 2020 has resulted in an unprecedented level of public interest and media …

This book analyses the development and use of mathematical models in public health
research and policy. By introducing a life cycle metaphor, the author provides a unique …

BACKGROUND: Despite significant research efforts in Canada, real application of modelling
in public health decision making and practice has not yet met its full potential. There is still …

Mathematical, statistical, and computational modelling has become an important tool for
addressing complex public health questions and informing policy decision-making. While …

PROBLEM: Outbreak analysis and mathematical modelling are crucial for planning public
health responses to infectious disease outbreaks, epidemics and pandemics. This paper …

Public health-related decision-making on policies aimed at controlling epidemics is
increasingly evidence-based, exploiting multiple sources of data. Policy makers rely on …

Abstract The World Health Organisation's definition of public health refers to all organized
measures to prevent disease, promote health, and prolong life among the population as a …

Pandemic preparedness planning relies on techniques to extend epidemiological inference
beyond the bounds of direct observation. Mathematical modelling and simulation techniques …