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epidemics: Composable Epidemic Scenario Modelling

Authors: Gupte, Pratik; Eggo, Rosalind; Van Leeuwen, Edwin; Ahadzie, Bankole;

epidemics: Composable Epidemic Scenario Modelling

Abstract

A library of compartmental epidemic models taken from the published literature, and classes to represent affected populations, public health response measures including non-pharmaceutical interventions on social contacts, non-pharmaceutical and pharmaceutical interventions that affect disease transmissibility, vaccination regimes, and disease seasonality, which can be combined to compose epidemic scenario models.

To cite package "epidemics" in publications use:

Keywords

decision-support, infectious-disease-dynamics, non-pharmaceutical-interventions, r-package, r, rcppeigen, vaccination, scenario-analysis, epidemic-modelling, model-library, epidemiology, epidemic-simulations, epiverse, rcpp

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average