Links

BioSS

The Roslin Institute

EPIC

RESAS

Introduction

This website provides a collection of tools for analysing epidemiological data:

BICI -- General purpose point and click software for both simulating from compartmental models as well as performing inference on individual-based and population wide data.

SIRE - Software for estimating genetic and non-genetic factors determing epidemiological traits.

SIRE-PC - Used in conjunction with SIRE, this simple online tool allows the user to estimate the statistical power from a given disease transmission experiment.

These tools have been developed from a collaboration between Biomathematics and Statistics Scotland (BioSS) and the Roslin Institute (University of Edinburgh). This research has been funded through the Scottish Government's Rural and Environment Science and Analytical Services Division (RESAS).

References

[1] Pooley, C. M., Doeschl-Wilson, A. and Marion, G. (2020) Bayesian Indivdiuals-based Compartmental Inference (BICI): An easy to use Bayesian tool, To be submitted.

[2] Pooley, C. M., Doeschl-Wilson, A., Bishop, S.C. and Marion, G. (2019) Estimating individuals’ genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data, Submitted to PLOS Computational Biology. .

[3] Pooley, C. M., Marion, G., Bishop, S.C. and Doeschl-Wilson, A. (2020) Analysis and experimental design when estimating SNP effects for host susceptibility, infectivity and recovery from epidemic data, To be submitted, .