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For several decades the writings of sociologist Neil J. Smelser have won him a vast and admiring audience across several disciplines. Best known for his work on social movements, economic sociology, and British social history, Smelser's psychoanalytic writings are less familiar to his readers. In fact, many people are completely unaware of Smelser's formal psychoanalytic training and ongoing counseling practice. With the publication of The Social Edges of Psychoanalysis, Smelser's thought-provoking essays on psychoanalytic concepts are finally brought together in one book. Psychoanalytic theory has had an ambivalent relationship with sociology, and these essays explore that ambivalence, providing arguments about how and why psychoanalytic approaches can deepen the sociological perspective. One of Smelser's main tenets is that human social behavior always contains both social-structural and social-psychological elements, and that psychoanalytic theory can bridge these two dimensions of human social life. Many of the issues Smelser addresses--including interdisciplinarity, the macro-micro link in research, masculinity and violence, and affirmative action--have generated considerable scholarly interest. This collection paves the way for further articulation of the relationship between sociology and psychoanalysis at a time when many sociologists are looking for interdisciplinary links in their work. Presented with clarity and grace, and free of the murkiness often found in both sociological and psychoanalytic writing, Smelser's new book will excite reflection and research on the less visible dynamics of social existence.
Social sciences and psychoanalysis. --- Social sciences and psychoanalysis --- Social Sciences --- Psychoanalysis --- Anthropology, Education, Sociology and Social Phenomena --- Psychiatry --- Behavioral Sciences --- Behavioral Disciplines and Activities --- Psychiatry and Psychology --- Psychology --- Science, Social --- Sciences, Social --- Social Science --- Psychoanalysis and social sciences --- Proxemics --- Behavioral Science --- Proxemic --- Science, Behavioral --- Sciences, Behavioral --- Psychiatrists --- Psychiatrist --- Psychodynamic Analysis --- Analyses, Psychodynamic --- Analysis, Psychodynamic --- Psychodynamic Analyses --- Sociology --- Factors, Psychological --- Psychological Factors --- Psychological Side Effects --- Psychologists --- Psychosocial Factors --- Side Effects, Psychological --- Factor, Psychological --- Factor, Psychosocial --- Factors, Psychosocial --- Psychological Factor --- Psychological Side Effect --- Psychologist --- Psychosocial Factor --- Side Effect, Psychological --- General Social Development and Population --- affirmative action. --- clear. --- dynamics of social existence. --- easy to understand. --- essays on psychoanalytic concepts. --- human social behavior. --- masculinity and violence. --- psychoanalytic approaches deepen sociological perspective. --- psychoanalytic theory. --- social structural and social psychological elements. --- sociology and psychoanalysis.
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Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. Covers the latest research in mathematical modeling of infectious disease epidemiology Integrates deterministic and stochastic approaches Teaches skills in model construction, analysis, inference, and interpretation Features numerous exercises and their detailed elaborations Motivated by real-world applications throughout
Epidemiology --- Communicable diseases --- Contagion and contagious diseases --- Contagious diseases --- Infectious diseases --- Microbial diseases in human beings --- Zymotic diseases --- Mathematical models --- Mathematical models. --- Diseases --- Infection --- Epidemics --- Public health --- Bayesian statistical inference. --- ICU model. --- Markov chain Monte Carlo method. --- Markov chain Monte Carlo methods. --- ReedІrost epidemic. --- age structure. --- asymptotic speed. --- bacterial infections. --- biological interpretation. --- closed population. --- compartmental epidemic systems. --- consistency conditions. --- contact duration. --- demography. --- dependence. --- disease control. --- disease outbreaks. --- disease prevention. --- disease transmission. --- endemic. --- epidemic models. --- epidemic outbreak. --- epidemic. --- epidemiological models. --- epidemiological parameters. --- epidemiology. --- general epidemic. --- growth rate. --- homogeneous community. --- hospital infections. --- hospital patients. --- host population growth. --- host. --- human social behavior. --- i-states. --- individual states. --- infected host. --- infection transmission. --- infection. --- infectious disease epidemiology. --- infectious disease. --- infectious diseases. --- infectious output. --- infective agent. --- infectivity. --- intensive care units. --- intrinsic growth rate. --- larvae. --- macroparasites. --- mathematical modeling. --- mathematical reasoning. --- maximum likelihood estimation. --- microparasites. --- model construction. --- outbreak situations. --- outbreak. --- pair approximation. --- parasite load. --- parasite. --- population models. --- propagation speed. --- reproduction number. --- separable mixing. --- sexual activity. --- stochastic epidemic model. --- structured population models. --- susceptibility. --- vaccination.
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