This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment.
In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus).
Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software.
Myoung-jae Lee reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences.
This book provides a systematic treatment of the mathematical underpinnings of work in the theory of outbreak dynamics and their control, covering balanced perspectives between theory and practice including new material on contemporary topics in the field of infectious disease modelling.
Towards a Digital Health Ecology : NHS Digital Adoption through the COVID-19 Looking Glass is about technology adoption in the UK's National Health Service (NHS) as told from the inflection point of a disaster.
This authoritative reference volume emphasizes the importance and interrelationships of geological processes to the health and diseases of humans and animals.
This volume, focusing on palliative and terminal care, is part of a survey of health care needs for specific conditions, published on behalf of the Department of Health.
This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.
Down the ages, war epidemics have decimated the fighting strength of armies, caused the suspension and cancellation of military operations, and have brought havoc to the civil populations of belligerent and non-belligerent states alike.
Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment.
This book draws on the author's ten years of participatory work to examine core themes of (mis)representation, re-presentation, and resistance within place-health research and practice.
Exposure to ambient air pollutants, both indoors and outdoors has been associated with the exacerbation and also in the etiology of diverse human diseases.
In the late 1960s, the World Health Organization initiated a series of international studies of the incidence, characteristics, course, and consequences of schizophrenia.
This book emphasizes the occurrence of sublethal injury in the indicator and pathogenic bacteria commonly encountered in foods, water and feed and modifications of the currently recommended methods for the effective detection of these bacteria.
This book is aimed at those studying and working in the field of health care, including nurses and the professions allied to medicine, who have little prior knowledge of statistics but for whom critical review of research is an essential skill.
This title critically reviews old and new literature, help to create greater awareness of the disease in the US and helps in the evaluation of certain epidemiological and public health issues.
"e;Biomedical Imaging: Principles and Advancements"e; offers a captivating exploration of the intricate landscapes within the human body, revealing the transformative power of biomedical imaging.
This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques.
Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.
The Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health provides rationale, theory, and implementation guidance to help public health practitioners incorporate pathogen genomic data analysis into their investigations.