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Widespread immunization has many different kinds of effects in individuals and populations, including in the unvaccinated individuals. The challenge is in understanding and estimating all of these effects. This book presents a unified conceptual framework of the different effects of vaccination at the individual and at the population level. The book covers many different vaccine effects, including vaccine efficacy for susceptibility, for disease, for post-infection outcomes, and for infectiousness. The book includes methods for evaluating indirect, total and overall effects of vaccination programs in populations. Topics include household studies, evaluating correlates of immune protection, and applications of casual inference. Material on concepts of infectious disease epidemiology, transmission models, casual inference, and vaccines provides background for the reader. This is the first book to present vaccine evaluation in this comprehensive conceptual framework. This book is intended for colleagues and students in statistics, biostatistics, epidemiology, and infectious diseases. Most essential concepts are described in simple language accessible to epidemiologists, followed by technical material accessible to statisticians. M. Elizabeth Halloran and Ira Longini are professors of biostatistics at the University of Washington and the Fred Hutchinson Cancer Research Center in Seattle. Claudio Struchiner is professor of epidemiology and biostatistics at the Brazilian School of Public Health of the Oswaldo Cruz Foundation in Rio de Janeiro. The authors are prominent researchers in the area. Halloran and Struchiner developed the study designs for dependent happenings to delineate indirect, total, and overall effects. Halloran has made contributions at the interface of epidemiological methods, causal inference, and transmission dynamics. Longini works in the area of stochastic processes applied to epidemiological infectious disease problems, specializing in the mathematical and statistical theory of epidemics. Struchiner has contributed to understanding the role of transmission in interpreting vaccine effects.

Case-control method. --- Epidemiology --Research. --- Vaccines --Research. --- Vaccines --Statistical methods. --- Vaccines --- Epidemiology --- Case-control method --- Clinical Trials as Topic --- Methods --- Research Design --- Statistics as Topic --- Research --- Drug Evaluation --- Evaluation Studies as Topic --- Epidemiologic Methods --- Epidemiologic Study Characteristics as Topic --- Science --- Investigative Techniques --- Biological Products --- Health Care Evaluation Mechanisms --- Mathematics --- Quality of Health Care --- Natural Science Disciplines --- Public Health --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Complex Mixtures --- Disciplines and Occupations --- Environment and Public Health --- Chemicals and Drugs --- Health Care Quality, Access, and Evaluation --- Health Care --- Mathematical Statistics --- Microbiology & Immunology --- Biology --- Physical Sciences & Mathematics --- Health & Biological Sciences --- Statistical methods --- Vaccination --- Research. --- Communicable diseases --- Inoculation --- Preventive inoculation --- Medicine. --- Health informatics. --- Infectious diseases. --- Epidemiology. --- Statistics. --- Medicine & Public Health. --- Health Informatics. --- Infectious Diseases. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Biologicals --- Immunization --- Anti-vaccination movement --- Prevention --- Medical records --- Emerging infectious diseases. --- Data processing. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Diseases --- Public health --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Statistics . --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing --- Vaccines - Research --- Vaccines - Statistical methods --- Epidemiology - Research --- Medical informatics. --- Diseases. --- Biometry. --- Biostatistics. --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Human beings --- Illness --- Illnesses --- Morbidity --- Sickness --- Sicknesses --- Health --- Pathology --- Sick

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Widespread immunization has many different kinds of effects in individuals and populations, including in the unvaccinated individuals. The challenge is in understanding and estimating all of these effects. This book presents a unified conceptual framework of the different effects of vaccination at the individual and at the population level. The book covers many different vaccine effects, including vaccine efficacy for susceptibility, for disease, for post-infection outcomes, and for infectiousness. The book includes methods for evaluating indirect, total and overall effects of vaccination programs in populations. Topics include household studies, evaluating correlates of immune protection, and applications of casual inference. Material on concepts of infectious disease epidemiology, transmission models, casual inference, and vaccines provides background for the reader. This is the first book to present vaccine evaluation in this comprehensive conceptual framework. This book is intended for colleagues and students in statistics, biostatistics, epidemiology, and infectious diseases. Most essential concepts are described in simple language accessible to epidemiologists, followed by technical material accessible to statisticians. M. Elizabeth Halloran and Ira Longini are professors of biostatistics at the University of Washington and the Fred Hutchinson Cancer Research Center in Seattle. Claudio Struchiner is professor of epidemiology and biostatistics at the Brazilian School of Public Health of the Oswaldo Cruz Foundation in Rio de Janeiro. The authors are prominent researchers in the area. Halloran and Struchiner developed the study designs for dependent happenings to delineate indirect, total, and overall effects. Halloran has made contributions at the interface of epidemiological methods, causal inference, and transmission dynamics. Longini works in the area of stochastic processes applied to epidemiological infectious disease problems, specializing in the mathematical and statistical theory of epidemics. Struchiner has contributed to understanding the role of transmission in interpreting vaccine effects.

Mathematical statistics --- vaccinatie