Code to reproduce the results in Bayesian modelling of repeated cross-sectional epidemic prevalence survey data.
To get started quickly, we recommend looking at the Jupyter notebooks in /examples/, which contains a start-to-finish worked example for each of the three methods considered.
The remainder of the repository is organized as follows:
/src/: Source code for the novel methods developed in the paper/OtherMethods/Eales/: Source code for the modified implementations of the Eales et al. (2022) method/OtherMethods/Abbott/: Source code for the modified implementations of the Abbott and Funk (2023) method/data/: Data used in the paper (REACT-1 series and RT-PCR SARS-CoV-2 test sensitivity estimates/paper/: Code to reproduce the figures and tables in the paper)
Results from fitting the three methods to data from the REACT-1 prevalence survey.