Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.

The Missing Link blazes a unique trail through the conundrums and controversies generated by evolutionary theory and religious thought. To date, these debates have centered on the origin of species. This book, however, turns the spotlight on the origins of consciousness, thought, and the self while also considering the relationship between God and science. Remarkably, Darwin himself highlighted the relevance of the origin of consciousness to the question of a creator. Therefore, The Missing Link works within a framework that was laid out at the dawn of the creation-evolution debate. Since that time, however, this framework has rarely been considered or explored. The unifying theme of this volume is the conclusion that the existence of God is grounded in rational thought. Contributors to The Missing Link include three Nobel Prize winners, renowned scientists from Oxford, Cambridge, and Harvard, and noted contemporary philosophers of consciousness, language, and the self.

The most penetrating scientific intellects have found that something beyond science is required to make sense of the cosmos, while many of those working for inter-faith dialogue have concluded that "the story of the universe is the only thing that can bring the religions of the world together."

"Putting three basic questions to a well-chosen group of people has provided a lush collection of thoughtful reflection and informed speculation. A wonderfully provocative and enlightening book." -- James Mosher Publisher of Mindfield

This innovative and challenging book presents cogent answers from some of the greatest thinkers of the twentieth century to fifteen of the most enduring questions posed by humanity. For questioning minds who seek alternative philosophical viewpoints, this is a unique and accessible assessment of humankind's common experience that offers a new vision for the next millenium.

Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.