Methodological Advances in the Economic Evaluation of Infectious Disease Prevention
Publisher: Peter Lang Publishing
Written in English
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Methodological Advances in the Economic Evaluation of Infectious Disease Prevention by Robert Welte Download PDF EPUB FB2
Welte R () Methodological advances in the economic evaluation of infectious disease prevention. Peter Lang, Frankfurt am Main Google Scholar Welte R, Feenstra T, Jager H et al. (a) A decision chart for assessing and improving the transferability of economic evaluation results between by: 4.
Despite methodological advances in the field of economic evaluations of interventions, economic evaluations of obesity prevention programmes in early childhood are seldom conducted. The aim of the present study was to explore existing methods and applications of economic evaluations, examining their limitations and making recommendations for future Cited by: Fig.
Extension of transmission models to increase integration with field studies and public health policy relevance. The selected infectious disease model structure varies with the system being modeled and the research question, as outlined previously [9, 10].A basic model design can be extended to include heterogeneity in biological susceptibility or exposure Author: Laura A.
Skrip, Jeffrey P. Townsend. Public health economics: A systematic review of guidance for the economic evaluation of public health interventions and discussion of key methodological Available via.
Infectious diseases remain a leading cause of morbidity, disability, and mortality worldwide. Lower respiratory infections are the third leading causes of death worldwide and their control is a constant challenge that faces health workers and public health officials in both industrialized and developing countries.
This chapter provides a global and comprehensive view of the principles. A surveillance system, in turn, is a collection of processes and components that enable public health practitioners to conduct surveillance.
Surveillance processes include data collection, data quality monitoring, data management, data analysis, interpretation of analytical results, information dissemination.