Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19.
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19.
The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic.
The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic.
The SARS-CoV-2 virus, commonly referred to as COVID-19, is perhaps the greatest threat to life, and lifestyles, around the world in more than a century.
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis.
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis.
One cannot watch or read about the news these days without hearing about the models for COVID-19 or the testing that must occur to approve vaccines or treatments for the disease.
One cannot watch or read about the news these days without hearing about the models for COVID-19 or the testing that must occur to approve vaccines or treatments for the disease.
It is common practice to evaluate wastewater to understand drug consumption, from antibiotics to illegal narcotics, and even to analyze dietary habits and trends.
It is common practice to evaluate wastewater to understand drug consumption, from antibiotics to illegal narcotics, and even to analyze dietary habits and trends.
The Routledge Handbook of Translation and Health provides a bridge between translation studies and the burgeoning field of health humanities, which seeks novel ways of understanding health and illness.
The Routledge Handbook of Translation and Health provides a bridge between translation studies and the burgeoning field of health humanities, which seeks novel ways of understanding health and illness.
This book provides an engaging, jargon-free introduction to the threat of global pandemics, offering an overview of the many origins and triggers of pandemic events.
This book provides an engaging, jargon-free introduction to the threat of global pandemics, offering an overview of the many origins and triggers of pandemic events.
This book aims to fill a gap in the current construction health and safety research and discover new knowledge about work stress induced chronic diseases among construction industry professionals.
This book aims to fill a gap in the current construction health and safety research and discover new knowledge about work stress induced chronic diseases among construction industry professionals.
Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic.
Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic.
Emerging Pathogens at the Poles: Disease and International Trade Law explores the applicability and possible complicating issues of the SPS Protocol to the Polar Regions in light of emerging pathogeneses and unknown host and environmental susceptibility and resilience.
Emerging Pathogens at the Poles: Disease and International Trade Law explores the applicability and possible complicating issues of the SPS Protocol to the Polar Regions in light of emerging pathogeneses and unknown host and environmental susceptibility and resilience.
This reader offers some of the most important writing to date from the science of COVID-19 and what science says about its spread and social implications.
This reader offers some of the most important writing to date from the science of COVID-19 and what science says about its spread and social implications.
Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation.
Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation.
This book examines prevailing human health problems in political, socioeconomic, cultural, and physical/biotic settings of health practitioners and planners in Ethiopia.
This book assesses the current available information concerning the major scientific problems related to environmental consequences of a possible nuclear war.
This book examines prevailing human health problems in political, socioeconomic, cultural, and physical/biotic settings of health practitioners and planners in Ethiopia.
This book assesses the current available information concerning the major scientific problems related to environmental consequences of a possible nuclear war.
This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.
This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare.
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare.
Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts.
