Displaying results 1 - 3 of 3
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Characterization of communicable disease epidemics using bayesian inversion
Content Type: Abstract
The evolution of a communicable disease in a human population is not entirely predictable. However, the spreading process can be assumed to vary smoothly in time. The time-dependent infection process can be linked to observations of… read more… the delay is caused by incubation and a (hospital) visit delay, modeled as independent random variables. A … also required. The time-dependent infection/spread rate may be inferred from observations by a deconvolution … a low dimensional parametric model, and the inference may be performed with relatively little data. For large … -
Inferring Outbreak Characteristics from a Short Observation Period of Symptomatic Patients
Content Type: Abstract
The aerosol release of a pathogen during a bioterrorist incident may not always be caught on environmental sensors - it may be too small, may consist of a preparation that is coarse and heavy (and consequently precipitates quickly) or may simply… read more… release of a pathogen during a bioterrorist incident may not always be caught on environmental sensors - it may be too small, may consist of a preparation that is coarse and heavy (and … release of a pathogen during a bioterror- ist incident may not always be caught on environ- mental sensors—it may … -
Efficient Large-Scale Network-Based Simulation of Disease Outbreaks
Content Type: Abstract
The effectiveness of public health interventions during a disease outbreak depends on rapid, accurate characterization of the initial outbreak and spread of the pathogen. Computer-based simulation using mathematical models… read more… time, and size of a bioter- ror attack [4]. A person may acquire a disease from a contaminated location (e.g., …