Covid 19 Epidemiologic Trends Public Health Challenges And Evidence Based Control Interventions

Volume I.B An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international concern. The ongoing outbreak presents many clinical and public health management challenges due to limited understanding of viral pathogenesis, risk factors for infection, natural history of disease including clinical presentation and outcomes, prognostic factors for severe illness, period of infectivity, modes and extent of virus inter-human transmission, as well as effective preventive measures and public health response and containment interventions. There are no antiviral treatment nor vaccine available but fast track research and development efforts including clinical therapeutic trials are ongoing across the world. Managing this serious epidemic requires the appropriate deployment of limited human resources across all cadres of health care and public health staff, including clinical, laboratory, managerial and epidemiological data analysis and risk assessment experts. It presents challenges around public communication and messaging around risk, with the potential for misinformation and disinformation. Therefore, integrated operational research and intervention, learning from experiences across different fields and settings should contribute towards better understanding and managing COVID-19. This Research Topic aims to highlight interdisciplinary research approaches deployed during the COVID-19 epidemic, addressing knowledge gaps and generating evidence for its improved management and control. It will incorporate critical, theoretically informed and empirically grounded original research contributions using diverse approaches, experimental, observational and intervention studies, conceptual framing, expert opinions and reviews from across the world. The Research Topic proposes a multi-dimensional approach to improving the management of COVID-19 with scientific contributions from all areas of virology, immunology, clinical microbiology, epidemiology, therapeutics, communications as well as infection prevention and public health risk assessment and management studies.

Volume I.C An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international concern. The ongoing outbreak presents many clinical and public health management challenges due to limited understanding of viral pathogenesis, risk factors for infection, natural history of disease including clinical presentation and outcomes, prognostic factors for severe illness, period of infectivity, modes and extent of virus inter-human transmission, as well as effective preventive measures and public health response and containment interventions. There are no antiviral treatment nor vaccine available but fast track research and development efforts including clinical therapeutic trials are ongoing across the world. Managing this serious epidemic requires the appropriate deployment of limited human resources across all cadres of health care and public health staff, including clinical, laboratory, managerial and epidemiological data analysis and risk assessment experts. It presents challenges around public communication and messaging around risk, with the potential for misinformation and disinformation. Therefore, integrated operational research and intervention, learning from experiences across different fields and settings should contribute towards better understanding and managing COVID-19. This Research Topic aims to highlight interdisciplinary research approaches deployed during the COVID-19 epidemic, addressing knowledge gaps and generating evidence for its improved management and control. It will incorporate critical, theoretically informed and empirically grounded original research contributions using diverse approaches, experimental, observational and intervention studies, conceptual framing, expert opinions and reviews from across the world. The Research Topic proposes a multi-dimensional approach to improving the management of COVID-19 with scientific contributions from all areas of virology, immunology, clinical microbiology, epidemiology, therapeutics, communications as well as infection prevention and public health risk assessment and management studies.

"This book presents the principles and tools that administrators and practitioners need to monitor, assess, and manage the health of populations in challenging times"--

Psychology of Behavioural Interventions and Pandemic Control is a unique text that examines the COVID-19 pandemic in relation to population risk factors and the efficacy of non-pharmaceutical interventions deployed by many governments around the world to bring the pandemic under control. The book presents critical and insightful lessons that can be drawn up to assess governments’ performance in relation to the pandemic and to guide the construction of effective measures to put in place in readiness for any future public health crises on this scale. It starts by examining lessons learned from historical pandemics and then turns to early epidemiological modelling that influenced the decision of many governments to implement wide-ranging interventions designed to bring public behaviour under close control. It also examines the findings of research that tried to understand pre-existing population risks factors which had some mediating influences over COVID-19, mortality rates, and the effects of interventions. Early modelling work is critiqued, and the discussion also identifies weaknesses in early modelling research. The author, Barrie Gunter, goes on to consider ways in which multiple disciplines can be triangulated to produce more comprehensive models of risk. He also offers suggestions on how future pandemic-related research might be constructed to deliver more powerful analyses of the effects of interventions and the role played by different population risk factors. This insight might then deliver better policies for pandemic control and for safe release from that control. This is essential reading for students and researchers in psychology, public health and medical sciences. It would also be of interest to policy makers assessing government strategies, responses and performance.

This book is useful for administrators of different levels involved in counteracting COVID-19, surveillance professionals, clinicians, researchers specializing in epidemiology, microbiology, and infectious diseases, and politicians / legislators engaged in public health sector. We use an innovative approach of combining both epidemiological and sociological analyses, as the very problem is mainly an issue of correct governance. A team of authors from Europe, Russia and China summarizes their experience and knowledge useful for containing SARS-CoV-2 and overcoming social and managerial consequences of the pandemic. The editors are sure that sharing our different experience would help to elaborate necessary strategies, protocols, and principles that may be effectively applied in the future to avoid dramatic consequences of not only COVID-19 but also any possible epidemiological hazards for people and medicine.

The book Coronavirus Therapeutics Volume II provides the most comprehensive review on contemporary knowledge on the consequences during the outbreak of Coronavirus. This also describes the clinical features, diagnostic evaluation and management of Coronavirus patients. Using an integrative approach to the understanding of paradigm gap in host-pathogen interaction studies to the management of Coronavirus patients in the Intensive Care Unit to the current challenges for the effective management of Coronavirus pandemic risk factors including diabetes, hypertension, obesity and repercussion on the central and peripheral nervous system. Key basic and clinical research laboratories from major universities, academic medical hospitals, biotechnology and pharmaceutical laboratories around the world have contributed articles that review present research activity on the role of heat shock proteins in human diseases and importantly project the field into the future. The book is a must read for graduate students. medical students, basic science researchers and postdoctoral scholars in the fields of Cancer Biology, Oncology, Cardiovascular Diseases, Microbiology, Inflammation, Translational Medicine, Clinical Research, Biotechnology, Cell & Molecular Medicine, Pharmaceutical Scientists and Researchers involved in Drug Discovery.

COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book’s 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.