R package designed to help epidemiologists assess the scale of spatial and temporal dependence in epidemic case occurrence data. The current implementation of the package includes a function which simulates infectious disease spread as a spatial branching process, along with two novel spatial statistics that estimate: 1) the mean of the spatial transmission kernel, which is a measure of fine-scale spatial dependence between two cases, and 2) the tau-statistic, a measure of global clustering based on pathogen subtype.
Additional Resource Information:
Modelers or analytic individuals in public health, Epidemiologists
https://journal.r-project.org/archive/2019/RJ-2019-043/index.html
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CC BY 4.0
- CC BY 4.0
- Library requiring detailed coding
- Decision Support tool
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