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R0 estimation from cluster distribution (subcritical case)
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#93990
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How this works
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Controlling Infectious Diseases »
Controlling Infectious Diseases
Controlling Infectious DiseasesâMapping the issues around endemic diseasesâsuch as malaria, measles, influenza, HIV, Dengue and West Nile Virusâwith 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.âF1CEB7
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Research Questions »
Research Questions
Research QuestionsâWhat are the research priorities for the field?âFFB597
▲
Open mathematical/computational problems? »
Open mathematical/computational problems?
Open mathematical/computational problems?ââFFB597
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Statistical Methods for model selection and parameter estimation »
Statistical Methods for model selection and parameter estimation
Statistical Methods for model selection and parameter estimationââFFB597
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Nonparametric approaches »
Nonparametric approaches
Nonparametric approachesâUse information or summary statistics on disease incidence or dynamics to estimate metrics such as R0, without using a fully specified disease modelâFFB597
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R0 estimation from cluster distribution (subcritical case)
R0 estimation from cluster distribution (subcritical case)ââFFB597
●
Non-identifiability »
Non-identifiability
Non-identifiabilityâData 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.â59C6EF
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Entrée par:
Ben Bolker
NodeID:
#93990
Node type:
Issue
Date d'entrée (GMT):
3/2/2011 3:43:00 AM
Date de la derniĂšre modification (Heure GMT):
3/2/2011 3:43:00 AM
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