Theo Wibisono

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Mathematical models to predict the spread of disease during a pandemic largely require overly simplistic assumptions about disease transmission within populations. One significant shortcoming of these models is the inability to account for varying types and amount of contact between individuals, to address individuals' behaviors or to assess the(More)
In the event of a pandemic outbreak, emergency management units must coordinate an effective mitigation strategy to stop the disease spread using limited resources. In order to develop a successful response, it is necessary to have an accurate model of how the disease will spread. Previously presented models largely rely on homogeneous mixing models, which(More)
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