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Epidemic Survey Smoothing

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)

Example output Results from fitting the three methods to data from the REACT-1 prevalence survey.

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