This book discusses the socioeconomic effects of Right-to-Work (RTW) laws on state populations. RTW laws forbid requiring union membership even at union-represented worksites. The core of the 22 long-term RTW states was the Confederacy, cultural descendants of rigidly hierarchical agrarian feudal England. RTW laws buttress hierarchy and power imbalance which unions minimize at the worksite and by encouraging higher educational attainment, social mobility, and individual empowerment through group validation. Contrary to claims of RTW proponents, RTW and non-RTW states do not differ significantly in unemployment rates. RTW states have higher poverty rates, lower median household incomes, and lower educational attainment on average and median than non-RTW states. RTW states on average and median have lower life expectancy, higher obesity prevalence, and higher rates of all-cause mortality, early mortality from chronic conditions, child mortality, and risk behaviors than non-RTW states. The higher mortality rates result in startlingly higher annual numbers of years of life lost before age 75. Stroke mortality at age 55-64 in RTW states results in nearly 10,000 years annually lost in excess of what it would be if the mortality rate were that of non-RTW states. A review of respected publications describes the physiological mechanisms and epidemiology of accelerated aging due to socioeconomic stress. Unions challenge hierarchy directly at work-sites and indirectly through encouraging college education, social mobility, and community and political engagement. How startling that feudal hierarchy lives in 21st century America, shaping vast differences between states in macro- and micro-economics, educational attainment, innovation, life expectancy, obesity prevalence, chronic disease mortality, infant and child mortality, risk behaviors, and other public health markers! Readers will gain insight about the coming clash between feudal individualism and adaptive collectivism, and, in the last chapter, on ways to win the clash by "missionary" work for collectivism.

This book describes how epigenetic context, in a large sense, affects gene expression and the development of an organism, using the asymptotic limit theorems of information theory to construct statistical models useful in data analysis. The approach allows deep understanding of how embedding context affects development. We find that epigenetic information sources act as tunable catalysts, directing ontogeny into characteristic pathways, a perspective having important implications for epigenetic epidemiology. In sum, environmental stressors can induce a broad spectrum of developmental dysfunctions, and the book explores a number of pandemic chronic diseases, using U.S. data at different scales and levels of organization. In particular, we find the legacy of slavery has been grossly compounded by accelerating industrial decline and urban decay. Individual chapters are dedicated to obesity and its sequelae, coronary heart disease, cancer, mental disorders, autoimmune dysfunction, Alzheimer's disease, and other conditions. Developmental disorders are driven by environmental factors channeled by historical trajectory and are unlikely to respond to medical interventions at the population level in the face of persistent individual and community stress. Drugs powerful enough to affect deleterious epigenetic programming will likely have side effects leading to shortened lifespan. Addressing chronic conditions and developmental disorders requires significant large-scale changes in public policy and resource allocation.

Steep socioeconomic hierarchy in post-industrial Western society threatens public health because of the physiological consequences of material and psychosocial insecurities and deprivations. Following on from their previous books, the authors continue their exploration of the geography of early mortality from age-related chronic conditions, of risk behaviors and their health outcomes, and of infant and child mortality, all due to rigid hierarchy. They divide the 50 states into those that gave their electoral college votes to Trump and those that gave theirs to Clinton in the 2016 presidential election and compare the two sets for socioeconomic and public health profiles. They deliberately apply only simple standard statistical methods in the public health analyses: t-test, Mann-Whitney test, bivariate regression, and backward stepwise multivariate regression. The book assumes familiarity with basic statistics. The authors argue that the unequal power relations that result in eroding public health in the nation and, in particular, in the Trump-voting states, largely cascade from the collapse of American industry, and they analyze the Cold War roots of that collapse. In two largely independent chapters on economics, they explore both the suppression of countervailing forces, such as organized labor, and the diversion of technical resources to the military as essential foundations to the population-level suffering that expressed itself in the 2016 presidential election. This interdisciplinary book has several primary audiences: creators of public policies, such as legislators and governmental staff, public health professionals and social epidemiologists, economists, labor union professionals, civil rights advocates, political scientists, historians, and students of these disciplines from public health through the social sciences.

This book, based on published studies, takes a unique perspective on the 30-year collapse of pharmaceutical industry productivity in the search for small molecule "magic bullet" interventions. The relentless escalation of inflation-adjusted cost per approved medicine in the United States - from $200 million in 1950 to $1.2 billion in 2010 - has driven industry giants to, at best, slavish imitation in drug design, and at worst, abandonment of research and embracing of widespread fraud in consumer marketing.The book adapts formalism across a number of disciplines to the strategy for design of mutilevel interventions, focusing first on molecular, cellular, and larger scale examples, and then extending the argument to the simplifications provided by the dominant role of social and cultural structures and processes in individual and population patterns of health and illness.In place of "magic bullets", we must now apply "magic strategies" that act across both the scale and level of organization. This book provides an introductory roadmap to the new tools that will be needed for the design of such strategies.

Steep socioeconomic hierarchy in post-industrial Western society threatens public health because of the physiological consequences of material and psychosocial insecurities and deprivations. Following on from their previous books, the authors continue their exploration of the geography of early mortality from age-related chronic conditions, of risk behaviors and their health outcomes, and of infant and child mortality, all due to rigid hierarchy. They divide the 50 states into those that gave their electoral college votes to Trump and those that gave theirs to Clinton in the 2016 presidential election and compare the two sets for socioeconomic and public health profiles. They deliberately apply only simple standard statistical methods in the public health analyses: t-test, Mann-Whitney test, bivariate regression, and backward stepwise multivariate regression. The book assumes familiarity with basic statistics. The authors argue that the unequal power relations that result in eroding public health in the nation and, in particular, in the Trump-voting states, largely cascade from the collapse of American industry, and they analyze the Cold War roots of that collapse. In two largely independent chapters on economics, they explore both the suppression of countervailing forces, such as organized labor, and the diversion of technical resources to the military as essential foundations to the population-level suffering that expressed itself in the 2016 presidential election. This interdisciplinary book has several primary audiences: creators of public policies, such as legislators and governmental staff, public health professionals and social epidemiologists, economists, labor union professionals, civil rights advocates, political scientists, historians, and students of these disciplines from public health through the social sciences. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Farming Human Pathogens: Ecological Resilience and Evolutionary Process introduces a cutting-edge mathematical formalism based on the asymptotic limit theorems of information theory to describe how punctuated shifts in mesoscale ecosystems can entrain patterns of gene expression and organismal evolution. The authors apply the new formalism toward characterizing a number of infectious diseases that have evolved in response to the world as humans have made it. Many of the human pathogens that are emerging out from underneath epidemiological control are 'farmed' in the metaphorical sense, as the evolution of drug-resistant HIV makes clear, but also quite literally, as demonstrated by avian influenza's emergence from poultry farms in southern China. The most successful pathogens appear able to integrate selection pressures humans have imposed upon them from a variety of socioecological scales. The book also presents a related treatment of Eigen's Paradox and the RNA 'error catastrophe' that bedevils models of the origins of viruses and of biological life itself.

Gene Expression and its Discontents examines a class of probability models describing how epigenetic context affects gene expression and organismal development, using the asymptotic limit theorems of information theory in a highly formal manner. Taking classic results on spontaneous symmetry breaking abducted from statistical physics in groupoid, rather than group, circumstances, the work suggests that epigenetic information sources act as analogs to a tunable catalyst, directing development into different characteristic pathways according to the structure of external signals. The results have significant implications for epigenetic epidemiology, in particular for understanding how environmental stressors, in a large sense, can induce a broad spectrum of developmental disorders in humans. The authors then apply the perspective to a number of chronic diseases broadly associated with obesity, using data at different scales of observation.

Farming Human Pathogens: Ecological Resilience and Evolutionary Process introduces a cutting-edge mathematical formalism based on the asymptotic limit theorems of information theory to describe how punctuated shifts in mesoscale ecosystems can entrain patterns of gene expression and organismal evolution. The authors apply the new formalism toward characterizing a number of infectious diseases that have evolved in response to the world as humans have made it. Many of the human pathogens that are emerging out from underneath epidemiological control are 'farmed' in the metaphorical sense, as the evolution of drug-resistant HIV makes clear, but also quite literally, as demonstrated by avian influenza's emergence from poultry farms in southern China. The most successful pathogens appear able to integrate selection pressures humans have imposed upon them from a variety of socioecological scales. The book also presents a related treatment of Eigen's Paradox and the RNA 'error catastrophe' that bedevils models of the origins of viruses and of biological life itself.

As a follow-up to COVID-19 in New York City: an Ecology of Race and Class Oppression, which showed that decades of discriminatory public policies shaped the Bronx into the epicenter of the first wave of COVID-19, this book examines the build up to the crest and subsequent ebbing of the second wave of COVID-19 across the 62 counties of New York State (NYS) and 152 ZIP Code areas of the four central boroughs of New York City (NYC). Like its predecessor, the sequel examines the vulnerabilities that give rise to spikes in infection rates that form epicenters. Unlike the first wave, NYC was not the epicenter of the second wave; high-incident counties just outside NYS formed an extended initial epicenter and exported COVID-19 to neighboring counties of NYS. Rural NYS counties differed significantly from urban ones socioeconomically and in infection rates during the cresting period. Before the crest, no socioeconomic factor was associated with county infection rates; rather, the major associating factor was political and cultural: percent of the 2020 vote garnered by Trump. Rural counties voted heavily for Trump. This association disappeared post-crest by mid-January 2021. In NYC, the Bronx again behaved like a single high-incidence entity, unlike the other three boroughs that had patches of high and low infection incidence. Among the topics covered: The Second COVID Wave Washes Over New York State The Second Wave Storm-Surges Across New York City Discussion of County Data from the Second Wave of COVID-19 Parsing Meaning From the 152 ZIP Code Data The book closes with a prescription for pandemic response planning based on empowered communities and workers interacting with health departments as equals. The Recurrence of COVID-19 in New York State and New York City is a valuable resource for social epidemiologists, public health researchers of health disparities, those in public service tasked with addressing these problems, and infectious disease scientists who focus on spread in human populations of new zoonotic diseases. The brief also will find readership among students in these fields, civil rights scholars, science writers, medical anthropologists and sociologists, medical and public health historians, public health economists, and public policy scientists.

This book is the first social epidemiological study of COVID-19 spread in New York City (NYC), the primary epicenter of the United States. New York City spread COVID-19 throughout the United States. The context of epicenter formation determined the rapid, extreme rise of NYC case and mortality rates. Decades of public policies destructive of poor neighborhoods of color heavily determined the spread within the City. Premature mortality rates revealed the "weathering" of policy-targeted communities: accelerated aging due to chronic stress. COVID attacks the elderly more severely than those under the age of 60. Communities with high proportions of prematurely aged residents proved fertile ground for COVID illness and mortality. The very public policies that created swaths of white wealth across much of Manhattan and parts of Brooklyn destroyed the human diversity needed to ride out crises. Topics covered within the chapters include: Premature Death Rate Geography in New York City: Implications for COVID-19 NYC COVID Markers at the ZIP Code Level Prospero's New Castles: COVID Infection and Premature Mortality in the NY Metro Region Pandemic Firefighting vs. Pandemic Fire Prevention Conclusion: Scales of Time in Disasters An exemplary study in health disparities, COVID-19 in New York City: An Ecology of Race and Class Oppression is essential reading for social epidemiologists, public health researchers of health disparities, those in public service tasked with addressing these problems, and infectious disease scientists who focus on spread in human populations of new zoonotic diseases. The brief also should appeal to students in these fields, civil rights scholars, science writers, medical anthropologists and sociologists, medical and public health historians, public health economists, and public policy scientists.

This book discusses the socioeconomic effects of Right-to-Work (RTW) laws on state populations. RTW laws forbid requiring union membership even at union-represented worksites. The core of the 22 long-term RTW states was the Confederacy, cultural descendants of rigidly hierarchical agrarian feudal England. RTW laws buttress hierarchy and power imbalance which unions minimize at the worksite and by encouraging higher educational attainment, social mobility, and individual empowerment through group validation. Contrary to claims of RTW proponents, RTW and non-RTW states do not differ significantly in unemployment rates. RTW states have higher poverty rates, lower median household incomes, and lower educational attainment on average and median than non-RTW states. RTW states on average and median have lower life expectancy, higher obesity prevalence, and higher rates of all-cause mortality, early mortality from chronic conditions, child mortality, and risk behaviors than non-RTW states. The higher mortality rates result in startlingly higher annual numbers of years of life lost before age 75. Stroke mortality at age 55-64 in RTW states results in nearly 10,000 years annually lost in excess of what it would be if the mortality rate were that of non-RTW states. A review of respected publications describes the physiological mechanisms and epidemiology of accelerated aging due to socioeconomic stress. Unions challenge hierarchy directly at work-sites and indirectly through encouraging college education, social mobility, and community and political engagement. How startling that feudal hierarchy lives in 21st century America, shaping vast differences between states in macro- and micro-economics, educational attainment, innovation, life expectancy, obesity prevalence, chronic disease mortality, infant and child mortality, risk behaviors, and other public health markers! Readers will gain insight about the coming clash between feudal individualism and adaptive collectivism, and, in the last chapter, on ways to win the clash by "missionary" work for collectivism.

This book describes how epigenetic context, in a large sense, affects gene expression and the development of an organism, using the asymptotic limit theorems of information theory to construct statistical models useful in data analysis. The approach allows deep understanding of how embedding context affects development. We find that epigenetic information sources act as tunable catalysts, directing ontogeny into characteristic pathways, a perspective having important implications for epigenetic epidemiology. In sum, environmental stressors can induce a broad spectrum of developmental dysfunctions, and the book explores a number of pandemic chronic diseases, using U.S. data at different scales and levels of organization. In particular, we find the legacy of slavery has been grossly compounded by accelerating industrial decline and urban decay. Individual chapters are dedicated to obesity and its sequelae, coronary heart disease, cancer, mental disorders, autoimmune dysfunction, Alzheimer's disease, and other conditions. Developmental disorders are driven by environmental factors channeled by historical trajectory and are unlikely to respond to medical interventions at the population level in the face of persistent individual and community stress. Drugs powerful enough to affect deleterious epigenetic programming will likely have side effects leading to shortened lifespan. Addressing chronic conditions and developmental disorders requires significant large-scale changes in public policy and resource allocation.

This book examines the nesting of cognitive structures that links biological processes to embedding social, cultural, and historical phenomena, using statistical tools adapted from Shannon's communication theory. Such interaction generates complexities that challenge magic bullet interventions, leading to catastrophes like the inverse Moore's Law of drug research cost. Here we explore the formal basis for multiscale and multilevel strategies that might prove more fruitful.

Protein folding dysfunctions like Alzheimer's and Parkinson's Diseases present intractable medical challenges: drug treatments are, at best, palliative, failing to alter ultimate disease course. Effective intervention will require a deeper understanding of protein folding and its regulation, particularly in view of a sixfold rise in the inflation-adjusted cost of bringing drugs to market since 1950. As a consequence, the pharmaceutical industry has sharply curtailed research on a range of poorly-understood afflictions, including Alzheimer's Disease. That is, in all likelihood, there will not be effective drugs for many protein folding disorders anytime soon, and, if produced, the costs will be prohibitive. Here we follow protein folding and its failure from the cellular to social levels of organization, finding a strong foundation for effective public health interventions against the early onset of disease.