The definitive story of COVID-19 and how global politics shape our health - from a world-leading expert and the pandemic's go-to science communicator

Professor Devi Sridhar has risen to prominence for her vital roles in communicating science to the public and speaking truth to power. In Preventable she highlights lessons learned from outbreaks past and present in a narrative that traces the COVID-19 pandemic - including her personal experience as a scientist - and sets out a vision for how we can better protect ourselves from the inevitable health crises to come.

In gripping and heartfelt prose, Sridhar exposes the varied realities of those affected and puts you in the room with key decision makers at crucial moments. She vibrantly conveys the twists and turns of a plot that saw: deadlier varients emerge (contrary to the predictions of social media pundits who argued it would mutate to a milder form); countries with weak health systems like Senegal and Vietnam fare better than countries like the US and UK (which were consistently ranked as the most prepared); and the quickest development of game-changing vaccines in history (and their unfair distribution)

Combining science, politics, ethics and economics, this definitive book dissects the global structures that determine our fate, and reveals the deep-seated economic and social inequalities at their heart - it will challenge, outrage and inspire.

The purpose of this book is to examine the etiology of cancer in large human populations using mathematical models developed from an inter-disciplinary perspective of the population epidemiological, biodemographic, genetic and physiological basis of the mechanisms of cancer initiation and progression. In addition an investigation of how the basic mechanism of tumor initiation relates to general processes of senescence and to other major chronic diseases (e.g., heart disease and stroke) will be conducted.

This volume provides an overview of recent advances in our understanding of the biology of marburg- and ebolaviruses. It focuses on four essential areas: 1) ecology, outbreaks and clinical management, 2) disease, pathogenesis and protection, 3) virus replication inside the cell, and 4) molecular tools for virus study and taxonomy. For 50 years, these viruses have spilled over sporadically and without warning from their wildlife reservoirs, often causing major outbreaks and high fatalities. The consequences can be devastating, with a clear potential for global reach, as demonstrated by the 2013 West African outbreak of Ebola virus, which led to over 28,000 reported cases across three continents and more than 11,000 deaths. Given the international threat posed by these viruses, the pace and scope of basic research have also greatly intensified, ranging from studies of virus emergence, epidemiology, antiviral countermeasures and human disease to detailed mechanistic studies of virus entry, replication, virion assembly and protein structure. Written by internationally respected experts, this book will appeal to a wide audience and be a valuable resource for basic researchers, clinicians and advanced students alike.

This volume contains refereed papers submitted by participants of the third week of a six week workshop on Statistics in the Health Sciences held by the Institute of Mathematics and its Applications in Minneapolis, Minnesota during July of 1997. This week was devoted to the closely related topics of Diagnosis and Prediction. Theoretical and applied statisticians from universities, medical and public health schools, government and private research institutions, and pharmaceutical companies involved in prediction problems in the life and social sciences and in diagnostic and screening tests were brought together to discuss and exchange new results and information on these important issues. A number of papers with applications were presented and especially lively discussions ensued involving the critical issues and difficulties in using and interpreting diagnostic tests and implementing mass screening programs. Both frequentist and Bayesian approaches were employed. The importance of predicting or controlling future events such as survival, comparative survival and survival post intervention for a disease or even for certain biological or natural events is growing rapidly. This area of concern was also represented by participants who presented work that devised predictive methodology for a variety of problems mainly from a Bayesian perspective.

The terrorist use of diseases as bioweapons has been one of the major security concerns in recent years, particularly after the anthrax letter attacks in the USA in 2001. This uncertain threat of intentional outbreaks of diseases exists side by side with the constantly changing very real threat from diseases, epidemics and pandemics as recently illustrated by the H1N1 influenza pandemic, SARS, and H5N1 bird influenza events. This publication contains case studies on the public health planning for (un)usual disease outbreaks for 11 large and small countries with a focus on South Eastern Europe. In many countries, military entities traditionally play an important role in emergency response to disease outbreaks. In smaller countries, very little exists, however, in terms of specific biopreparedness efforts (in both the military and civilian area), which is at least partly due to a relatively low bioterrorism threat perception, and serious resource constraints. The uncertainty associated with the bioterrorism threat makes public health preparedness planning for such events politically and financially very difficult. The similarity of responding to bioterrorism events and natural disease outbreaks from a public health point of view suggests the merit of looking at biopreparedness as a part of overall health emergency planning, not as a separate effort.

This book presents statistical processes for health care delivery and covers new ideas, methods and technologies used to improve health care organizations. It gathers the proceedings of the Third International Conference on Health Care Systems Engineering (HCSE 2017), which took place in Florence, Italy from May 29 to 31, 2017. The Conference provided a timely opportunity to address operations research and operations management issues in health care delivery systems. Scientists and practitioners discussed new ideas, methods and technologies for improving the operations of health care systems, developed in close collaborations with clinicians. The topics cover a broad spectrum of concrete problems that pose challenges for researchers and practitioners alike: hospital drug logistics, operating theatre management, home care services, modeling, simulation, process mining and data mining in patient care and health care organizations.

Contemporary research on genetic control of disease-transmitting insects knows two kinds of scientists: those that work in the laboratory and those known as a ~field peoplea (TM). Over the last decade, both groups seem to have developed differing research priorities, addressed fundamentally different aspects within the overall discipline of infectious-disease control, and worse, have developed a scientific a ~languagea (TM) that is no longer understood by the a ~othera (TM) party. This gap widens every day, between the North and the South, between ecologists and molecular biologists, geneticists and behaviourists, etc. The need to develop a common research agenda that bridges this gap has been identified as a top priority by all parties involved. Only then shall the goal of developing appropriate genetic-control strategies for vectors of disease become reality.

This book is the reflection of a workshop, held in Nairobi (Kenya) in July 2004, that addressed the above issues. It brought together a good representation of both the molecular and ecological research disciplines and, for the first time, included a significant number of researchers from disease-endemic countries. The research agenda presented here will serve the research and science-policy communities alike, and guide sponsoring organizations with the selection of priority areas for research funding.

Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition from the susceptible to the infected class is the hazard of infection, often referred to as the force of infection. The force of infection reflects the degree of contact with potential for transmission between infected and susceptible individuals. The mathematical relation between the force of infection and effective contact patterns is generally assumed to be subjected to the mass action principle, which yields the necessary information to estimate the basic reproduction number, another key parameter in infectious disease epidemiology. It is within this context that the Center for Statistics (CenStat, I-Biostat, Hasselt University) and the Centre for the Evaluation of Vaccination and the Centre for Health Economic Research and Modelling Infectious Diseases (CEV, CHERMID, Vaccine and Infectious Disease Institute, University of Antwerp) have collaborated over the past 15 years. This book demonstrates the past and current research activities of these institutes and can be considered to be a milestone in this collaboration. This book is focused on the application of modern statistical methods and models to estimate infectious disease parameters. We want to provide the readers with software guidance, such as R packages, and with data, as far as they can be made publicly available.

This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement interviews and other sources of researcher-generated health data, and takes readers through the steps of identifying, collecting, analyzing, and disseminating these findings in ethical research with real-world relevance. The authors acknowledge the critical importance of evidence-based practice in today's healthcare landscape and argue for naturally occurring data as a form of practice-based evidence making valued contributions to the field. And chapters evaluate frequently overlooked avenues for naturally occurring data, including media and social media sources, health policy and forensic health contexts, and digital communications. Included in the coverage:* Exploring the benefits and limitations of using naturally occurring data in health research * Considering qualitative approaches that may benefit from using naturally occurring data * Utilizing computer-mediated communications and social media in health * Using naturally occurring data to research vulnerable groups * Reviewing empirical examples of health research using naturally occurring data Using Naturally Occurring Data in Qualitative Health Research makes concepts, methods, and rationales accessible and applicable for readers in the health and mental health fields, among them health administrators, professionals in research methodology, psychology researchers, and practicing and trainee clinicians.

An 1865 report on public health in New York painted a grim picture of "high brick blocks and closely-packed houses . . . literally hives of sickness" propagating epidemics of cholera, smallpox, typhoid, typhus, and yellow fever, which swept through the whole city. In this stimulating collection of essays, nine historians of American medicine explore New York's responses to its public health crises from colonial times to the present. The essays illustrate the relationship between the disease environment of New York and changes in housing, population, social conditions, and the success of medical science, linking such factors to New York's experiences with smallpox, polio, and AIDS. The volume is essential reading for anyone interested in American public health and the social history of New York. The volume is essential reading for anyone interested in American public health and the social history of New York. The contributors are Ronald Bayer, Elizabeth Blackmar, Gretchen A. Condran, Elizabeth Fee, Daniel M. Fox, Evelynn M. Hammonds, Alan M. Kraut, Judith Walzer Leavitt, and Naomi Rogers. David Rosner is a professor of history at Baruch College and The Graduate School of the City University of New York. Robert R. Macdonald is the director of the Museum of the City of New York.

In recent years many introductory textbooks on clinical trial methodology have been published, some of which are excellent, in addition to a very extensive specialist literature. Nevertheless, here is a new book on methods and issues in clinical research. The objectives can be summarized in three points. 1. Integrate medical and statistical components of clinical research. 2. Do justice to the operational and practical requirements of clinical research. 3. Give space to the ethical implications of methodological issues in clinical research.

The scope of clinical research is to evaluate the effect of a treatment on the evolution of a disease in the human species. The treatment can be pharmacological, surgical, psychological/behavioral or organizational/logistic. The disease, intended as an impairment of a state of well-being or a condition capable of provoking such impairment over time, can be universally accepted as such (e.g. a cancer or a bone fracture) or perceived as such only by limited groups of individuals in a given cultural context (e.g. hair loss or weight gain). The course of the disease that ones wishes to change can be the one with no intervention or, more frequently, the one observed with the available treatment. The evaluation of the effect of a treatment on the course of a disease is a lengthy process, which progresses in increasingly complex stages.

A detailed coverage of the logistic, administrative and legal aspects of clinical research is outside the scope of this book. However, throughout the book we keep reminding the reader of these aspects because, as already mentioned, we firmly believe they have a crucial role in determining the success of a study. The history of clinical research is paved with relics of studies started with great pomp, riding great ideas and great hopes, which drowned miserably because of inadequate logistical preparation. In our experience, the excessive complexity of a clinical trial is the single most frequent cause of failure: the study is perfect on paper, but impossible to implement by patients and staff alike. The distance between the principal investigators and the reality of clinical research in its day-to-day practice is often the main cause of such disasters. We warmly encourage everyone involved in clinical research to get involved in the logistics of a study, learning from colleagues responsible for its practical conduct (clinical research associates, data managers, etc.) and to take part, in person, in the practical implementation of a trial before attempting to design a study protocol.

The book ends with a brief description of the drug development process and to the phases of clinical development.

This comprehensive, up-to-date volume defines the issues and offers potential solutions to the challenges of antimicrobial resistance. The chapter authors are leading international experts on antimicrobial resistance among a variety of bacteria, viruses including HIV and herpes, parasites and fungi. The chapters explore the molecular mechanisms of drug resistance, the immunology and epidemiology of resistance strains, clinical implications and implications on research and lack thereof, and prevention and future directions.

The Vital and Health Statistics Series, or what documents and medical librarians call The Rainbow Series, includes four series published by the U.S. National Health Survey between 1958 and 1963, and eighteen series published by the National Center for Health Statistics since 1963. Sixteen of these series are still active. In this volume, Jim Walsh and A. James Bothmer list, annotate, and index all of the reports published in the Rainbow Series, a total of 853 reports. Each entry contains standard bibliographical information and cataloging, publisher, and index/abstract access information. The body of the book arranges the reports first by series and then by report number within each series. Each series begins with a series cover sheet, which provides general information about the series. The work concludes with author, title, and subject indexes. The subject index uses the Library of Congress Subject Headings and the National Library of Medicine Subject Headings. This useful volume is the only source that lists, annotates, and indexes all of the reports and that provides supplemental information that will enhance reference, interlibrary loan, cataloging, and acquisition information, and that will enhance the use of these valuable reports.

This book provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology - the study of the incidence and distribution of diseases. Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission. In turn, these can be used to understand and predict disease prevalence. This user-friendly text brings together the specialised and widely-dispersed literature on spatial analysis to make these methodological tools accessible to epidemiologists for the first time.
With its focus is on application rather than theory, Spatial Analysis in Epidemiology includes a wide range of examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. Furthermore, it provides worked examples of methodologies using a single data set from the same disease example throughout, and is structured to follow the logical sequence of description of spatial data, visualisation, exploration, modelling and decision support. This accessible text is aimed at graduate students and researchers dealing with spatial data in the fields of epidemiology (both medical and veterinary), ecology, zoology and parasitology, environmental science, geography and statistics.

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective. Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions. This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.

This book aims to clarify the potential association between frailty and cardiovascular disease in older people. Covering the biological as well as the clinical point of view, it allows researchers and clinicians to discover the significance of this topic. The contributions cover the most important aspects in the potential relationship between frailty and cardiovascular disease. In particular, authoritative authors in this field have clarified the definition and the epidemiology of frailty and cardiovascular disease in older people. A large part of the volume is dedicated to the biological mechanisms of frailty and cardiovascular disease, trying to find those in common between these two conditions. Since this book is dedicated to both researchers and clinicians, we have proposed some chapters to the importance of comprehensive geriatric assessment in the evaluation and treatment of cardiovascular diseases and frailty. In this regard, the importance of geriatric evaluation in cardiac surgery for older people is well covered. Finally, the importance of cardiac rehabilitation and physical exercise is summarized, being, actually, the most important treatments for both frailty and cardiovascular disease. Written by many well-known and widely published experts in their respective fields, this book will appeal to a wide readership such as researchers in the field and clinicians, especially suited in geriatric medicine and cardiology who, every day, face frail older patients.

Advances in Growth Curve Models: Topics from the Indian Statistical Institute is developed from the Indian Statistical Institute's A National Conference on Growth Curve Models. This conference took place between March 28-30, 2012 in Giridih, Jharkhand, India. Jharkhand is a tribal area. Advances in Growth Curve Models: Topics from the Indian Statistical Institute shares the work of researchers in growth models used in multiple fields. A growth curve is an empirical model of the evolution of a quantity over time. Case studies and theoretical findings, important applications in everything from health care to population projection, form the basis of this volume. Growth curves in longitudinal studies are widely used in many disciplines including: Biology, Population studies, Economics, Biological Sciences, SQC, Sociology, Nano-biotechnology, and Fluid mechanics. Some included reports are research topics that have just been developed, whereas others present advances in existing literature. Both included tools and techniques will assist students and researchers in their future work. Also included is a discussion of future applications of growth curve models.

The book is organized so as to address in separate sections first the preparatory topics of medicine (clinical and epidemiological), science in general, and statistics (mathematical); then topics of epidemiological research proper; and, finally, topics of 'meta-epidemiological' clinical research. In those two main sections, a further grouping is based on the distraction between objects and methods of study. In this framework, the particular topics are addressed both descriptively and quasi-prescriptively, commonly with a number of explicatory annotations. This book is intended to serve as a handbook for whomever is, in whatever way, concerned with epidemiological or 'meta-epidemiological' clinical research. But besides this, it is also intended to serve as a textbook for students in introductory courses on 'epidemiological' research - to which end there is a suggested hierarchy of the concepts that might reasonably be covered.

Get Up to Speed on Many Types of Adaptive Designs Since the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. New to the Second Edition Twelve new chapters covering blinded and semi-blinded sample size reestimation design, pick-the-winners design, biomarker-informed adaptive design, Bayesian designs, adaptive multiregional trial design, SAS and R for group sequential design, and much more More analytical methods for K-stage adaptive designs, multiple-endpoint adaptive design, survival modeling, and adaptive treatment switching New material on sequential parallel designs with rerandomization and the skeleton approach in adaptive dose-escalation trials Twenty new SAS macros and R functions Enhanced end-of-chapter problems that give readers hands-on practice addressing issues encountered in designing real-life adaptive trials Covering even more adaptive designs, this book provides biostatisticians, clinical scientists, and regulatory reviewers with up-to-date details on this innovative area in pharmaceutical research and development. Practitioners will be able to improve the efficiency of their trial design, thereby reducing the time and cost of drug development.

After graduating from Tripoli, Libya in 1990, Dr Benamer came to the United Kingdom in 1991 to further his training in medicine. He obtained the MRCP in 1994 and trained in neurology in Glasgow. He obtained a PhD and CCST in 2000 and was appointed a consultant neurologist in Wolverhampton and Birmingham the same year. He has been the lead neurologist in New Cross Hospital in Wolverhampton since 2006. Dr Benamer is a general neurologist with special interest in movement disorders.

Dr Benamer is honorary clinical senior lecturer in Birmingham University and has an interest in medical education, in which he obtained a postgraduate certificate from Keele University in 2007. He has published more than 35 papers and two books. He is currently a senior editor of the Libyan Journal of Medicine. He was also an examiner of the MRCP Diploma from 2005 to 2009.

Dr Benamer's publications relevant to the subject of the book:

1. Benamer HT. 2007. Neurological disorders in Libya: an overview. "Neuroepidemiology" 29:143-9

2. Benamer HT. 2008. The ancestry of LRRK2 Gly2019Ser parkinsonism. "Lancet neurology" 7:769-70; author reply 70-1

3. Benamer HT, de Silva R, Siddiqui KA, Grosset DG. 2008. Parkinson's disease in Arabs: a systematic review. "Movement disorders: official journal of the Movement Disorder Society" 23:1205-10

4. Benamer HT, Ahmed ES, Al-Din AS, Grosset DG. 2009. Frequency and clinical patterns of multiple sclerosis in Arab countries: a systematic review. "Journal of the neurological sciences" 278:1-4

5. Benamer HT, Grosset D. 2009. Stroke in Arab countries: a systematic literature review. "Journal of the neurological sciences" 284:18-23

6. Benamer HT, Grosset DG. 2009. A systematic review of the epidemiology of epilepsy in Arab countries. "Epilepsia" 50:2301-4

7. Benamer HT, Shakir RA. 2009. The neurology map of the Arab world. "Journal of the neurological sciences" 285:10-2

8. Benamer HT. 2010. Neurology expertise and postgraduate training programmes in the Arab world: a survey. "European neurology" 64:313-8

9. Benamer HT, de Silva R. 2010. LRRK2 G2019S in the North African population: a review. "European neurology" 63:321-5

10. Benamer HT, Deleu D, Grosset D. 2010. Epidemiology of headache in Arab countries. "The journal of headache and pain" 11:1-3

11. Benamer HT. 2011. More epidemiological studies of neurological disorders are needed in the Arab countries. "Neuroepidemiology" 36:70.

The average age of the world's population is increasing at an unprecedented rate and this increase is changing the world. This "Silver tsunami" emphasizes the need to provide advanced training in epidemiology and increase the cadre of experts in the study of aging. This book is designed to summarize unique methodological issues relevant to the study of aging, biomarkers of aging and the biology/physiology of aging and in-depth discussions of the etiology and epidemiology of common geriatric syndromes and diseases. Contributing authors in the book represent many disciplines, not only epidemiology and clinical geriatrics, but also demography, health services, research, cardiovascular disease, diabetes, psychiatry, neurology, social services, musculoskeletal diseases and cancer. The aim of the book is to provide a broad multidisciplinary background for any student/researcher interested in aging. The material in the book is organized and comprehensive. It represents the most up-to-date information on the scientific issues in aging research written by academics who specialize in research and training in the broad field of aging. The structure and organization of the book reflects our course series in the Epidemiology of Aging starting with the broad issues of demography and methodology, and then addressing specific health conditions and geriatric conditions common to older persons.

Contains all you need to know to understand statistics in medicine. Medical Statistics Made Easy has been a perennial bestseller since the first edition was published (it is consistently a #1 bestseller in medical statistics on Amazon). It is recommended worldwide on a variety of courses and programmes, from undergraduate medicine, through to professional medical qualifications. It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject. It is ideal for non-statisticians who need to understand how statistics are used and applied in medicine and medical research. Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are. The worked examples that demonstrate the statistical method in action have been updated to include current articles from the medical literature and now feature a wider range of medical journals. This fourth edition continues with the same structure as the previous editions, with new sections on cut-off points and ROC curves, as well as a new chapter on choosing the right statistical test. It also features a completely revised and updated 'Statistics at work' section.

This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today's clinicians. Practice problems at the end of each chapter and downloadable data sets provided by the authors ensure readers get practical experience that they can then apply to their own work.

Ultimately, the quality of the tools available for genetic analysis and experimental disease models will be assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public financial investment in genetic research. Because of the investment and the increased expectation that new tre- ments will be found for common diseases, allowing decades to pass before basic discoveries are made and translated into new therapies is no longer acceptable. Computational Genetics and Genomics: Tools for Understanding Disease provides an overview and assessment of currently available and developing tools for genetic analysis. It is hoped that these new tools can be used to identify the genetic basis for susceptibility to disease. Although this very broad topic is addressed in many other books and journal articles, Computational Genetics and Genomics: Tools for Understanding Disease focuses on methods used for analyzing mouse genetic models of biomedically - portant traits. This volume aims to demonstrate that commonly used inbred mouse strains can be used to model virtually all human disea- related traits. Importantly, recently developed computational tools will enable the genetic basis for differences in disease-related traits to be rapidly identified using these inbred mouse strains. On average, a decade is required to carry out the development process required to demonstrate that a new disease treatment is beneficial.