retrorisk: a tool for estimating association between epidemics and diseases of uncertain aetiology #43
adamkucharski
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retrorisk: a tool for estimating association between epidemics and diseases of uncertain aetiology
Description
The package would provide tools for retrospective analysis of the association between risk of infection during a recent epidemic and recent patterns of disease, the cause of which is currently have uncertain. For example, following Zika epidemics, cases of Guillain-Barre Syndrome (GBS) peaked shortly afterwards, whereas cases of microcephaly peaked much later, reflecting risk of Zika exposure in early pregnancy.
Estimation of risk can therefore be done by combining a statistical model of risk with four pieces of information: timeseries of epidemic cases, final size of epidemic, timeseries of the disease of uncertain aetiology; and likely relationship between infection and outcome (e.g. typical time from infection to GBS for other viruses).
Target audience
typical end-users: organisations and agencies investigating diseases of uncertain aetiology
potential contributors: field epidemiologists and researcher groups who have previously focused on this question
key collaborators: Similar to potential contributors.
Interoperability
inputs:
data.frame
(ortibble
) with timeseries of epidemic cases and timeseries of the disease of uncertain aetiologyoutputs:
data.frame
with estimation of risk and comparison of statistical evidence for associationimports:
used by:
related projects
Usage
The code below illustrates a typical use of the package, using fictitious code and outputs if needed:
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