Modelling the Epidemiology of Infectious Diseases for Decision Analysis
نویسندگان
چکیده
منابع مشابه
Modelling the epidemiology of infectious diseases for decision analysis: a primer.
The number of economic evaluations related to infectious disease topics has increased over the last 2 decades. However, many such evaluations rely on models that do not take into account unique features of infectious diseases that can affect the estimated value of interventions against them. These include their transmissibility from infected to susceptible individuals, the possibility of acquir...
متن کاملEpidemiology of Infectious Diseases
Depending on intensity and extent occurrence of infectious diseases can be distinguished accordingly: Sporadic – isolated cases of disease without obvious epidemiological connections Epidemical – mass occurrence of infectious disease in mutual epidemiological connection taking place in a limited territory for a certain amount of time. When two or more cases of disease occur in one family or hou...
متن کاملMolecular epidemiology of infectious diseases
Molecular epidemiology (ME) is a branch of epidemiology developed by merging molecular biology into epidemiological studies. In this paper, the authors try to discuss the ways that molecular epidemiology studies identify infectious diseases' causation and pathogenesis, and unravel infectious agents' sources, reservoirs, circulation pattern, transmission pattern, transmission probability, and tr...
متن کاملThe epidemiology of infectious diseases of livestock.
From the time of the first modern studies of infectious diseases, by Koch, Pasteur, Theiler and their colleagues, it has been clear that laboratory investigation must be complemented by epidemiologic investigation. The measurement of all aspects of the natural history of a disease in naturally affected populations is necessary if we are to rationally design control regimens. Building upon a his...
متن کاملMathematical modelling of infectious diseases.
INTRODUCTION Mathematical models allow us to extrapolate from current information about the state and progress of an outbreak, to predict the future and, most importantly, to quantify the uncertainty in these predictions. Here, we illustrate these principles in relation to the current H1N1 epidemic. SOURCES OF DATA Many sources of data are used in mathematical modelling, with some forms of mo...
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ژورنال
عنوان ژورنال: PharmacoEconomics
سال: 2011
ISSN: 1170-7690
DOI: 10.2165/11539960-000000000-00000