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Rebound/delayed effects
Component
1
#94584
Example: elongation of interepidemic period, buildup of susceptibles during periods of lowered vaccination rates
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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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Lessons from mathematical modelling
Lessons from mathematical modellingâWhat have been the key public health lessons, principles and contributions from the field of mathematical modelling so far?â59C6EF
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Snapshots and linear models may be dangerously misleading
Snapshots and linear models may be dangerously misleadingâSnapshots, linear models tend to be accessible to the common sense understanding of non-mathematical policy stakeholders; however, natural systems are often best understood as dynamic, non-linear systems, which are harder concepts to communicate and sell to the policy makers.â59C6EF
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Rebound/delayed effects
Rebound/delayed effectsâExample: elongation of interepidemic period, buildup of susceptibles during periods of lowered vaccination ratesâ9FDEF6
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Gemaakt door:
Ben Bolker
NodeID:
#94584
Node type:
Component
Gemaakt op (GMT):
3/4/2011 6:56:00 PM
Laatste bewerking (GMT):
3/12/2011 8:23:00 PM
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