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R0 estimation from cluster distribution (subcritical case)
Klausimas
1
#93990
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How this works
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Controlling Infectious Diseases »
Controlling Infectious Diseases
Controlling Infectious Diseases☜Mapping the issues around endemic diseases—such as malaria, measles, influenza, HIV, Dengue and West Nile Virus—with the aims of identifying improved control strategies and of providing insights into to the work of mathematical biologists, epidemiologists and public health officials in this field.☜F1CEB7
▲
Research Questions »
Research Questions
Research Questions☜What are the research priorities for the field?☜FFB597
▲
Open mathematical/computational problems? »
Open mathematical/computational problems?
Open mathematical/computational problems?☜☜FFB597
▲
Statistical Methods for model selection and parameter estimation »
Statistical Methods for model selection and parameter estimation
Statistical Methods for model selection and parameter estimation☜☜FFB597
▲
Nonparametric approaches »
Nonparametric approaches
Nonparametric approaches☜Use information or summary statistics on disease incidence or dynamics to estimate metrics such as R0, without using a fully specified disease model☜FFB597
■
R0 estimation from cluster distribution (subcritical case)
R0 estimation from cluster distribution (subcritical case)☜☜FFB597
●
Non-identifiability »
Non-identifiability
Non-identifiability☜Data arising from small outbreak, i.e. extinction of a branching process with few cases, can either arise from a subcritical condition (R01) combined with a positive prob. for being a small outbreak. Data cannot identify which is which.☜59C6EF
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Redagavo:
Ben Bolker
NodeID:
#93990
Node type:
Issue
Įvedimo data (GMT):
3/2/2011 3:43:00 AM
Paskutinės redakcijos data (GMT laikas):
3/2/2011 3:43:00 AM
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