Christos Kitsos – författare

Human health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendium of state-of-the-art methods proposed and used, featuring contributions from eminent authors with varied experience from academia, government, and industry. Provides a comprehensive summary of currently available quantitative methods for risk assessment of both cancer and non-cancer problems.Describes the applications and the limitations of current mathematical modelling and statistical analysis methods (classical and Bayesian).Includes an extensive introduction and discussion to each chapter.Features detailed studies of risk assessments using biologically-based modelling approaches.Discusses the varying computational aspects of the methods proposed.Provides a global perspective on human health risk assessment by featuring case studies from a wide range of countries.Features an extensive bibliography with links to relevant background information within each chapter.Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment will appeal to researchers and practitioners in public health & epidemiology, and postgraduate students alike. It will also be of interest to professionals working in risk assessment agencies.

Human health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling.

Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendium of state-of-the-art methods proposed and used, featuring contributions from eminent authors with varied experience from academia, government, and industry.

Provides a comprehensive summary of currently available quantitative methods for risk assessment of both cancer and non-cancer problems. Describes the applications and the limitations of current mathematical modelling and statistical analysis methods (classical and Bayesian). Includes an extensive introduction and discussion to each chapter. Features detailed studies of risk assessments using biologically-based modelling approaches. Discusses the varying computational aspects of the methods proposed. Provides a global perspective on human health risk assessment by featuring case studies from a wide range of countries. Features an extensive bibliography with links to relevant background information within each chapter.

Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment will appeal to researchers and practitioners in public health & epidemiology, and postgraduate students alike. It will also be of interest to professionals working in risk assessment agencies.

This book addresses the assessment and management of risks related to environmental factors such as pollution, climate change and natural hazards.Environmental risk analysis sits at the crossroads of environmental science, policy, economics, and human behaviour. It asks how natural hazards affect human systems, who bears losses, and which interventions build resilience. Marking the 10th Anniversary of the ENVECON conference, the volume comprises 16 chapters that treat risk as systemic and dynamic, shaped by hazards, exposure, and vulnerability.The topics covered focus on risk assessment through causal econometrics, game theory, time-series, and panel modelling. These approaches target a diverse range of fields, such as sectoral evidence on extreme-weather productivity impacts, environmental taxation, environmental risks, and sustainability reporting. Valuable for postgraduate students, professionals, and policymakers involved in environmental science, engineering, and public policy, the book offers management tools and policy actions for decision-making under uncertainty and sustainable development.