# Selection for infectivity profiles in slow and fast epidemics This is the code and data used to investigate the selection for SARS-CoV-2 variants depending on their infectivity profile. ## Codes ### simulation_study_v3.R Conducts the simulation study to verify inference. ### inference_UK_v3.R Conducts the inference on UK data. ### get_clean_data.R Cleans the data on cases number and frequency dynamics. ### functions_v3.R Auxiliary functions. ### inference_functions.R Functions needed for inference. ### conceptual_figures_v2.R Draw conceptual figures of the paper. ### simulate_v2.cpp Code doing the epidemiological simulations in cpp ### source_simulation_parameters.R R code sourcing the parameters for simulations. ### spatial_correlation.R Code cleaning the spatial frequency of Delta across EU countries. ### inference_results_v2.RData Results of the inference method on Alpha and Delta variant data. ## Data sources ### cleaned_UK_cases.csv Clean UK cases used for inference. These data are available from https://api.coronavirus.data.gov.uk/v2/data?areaType=region&metric=newCasesBySpecimenDate&format=csv ### cleaned_UK_frequencies.csv Clean UK SGTF frequencies used for inference. These data are available from https://www.gov.uk/government/publications/investigation-of-novel-sars-cov-2-variant-variant-of-concern-20201201 Data underlying technical briefing 9. ### cleaned_UK_frequencies_period2.csv Clean UK SGTF frequencies used for inference. These data are available from https://www.gov.uk/government/publications/investigation-of-novel-sars-cov-2-variant-variant-of-concern-20201201 Data underlying technical briefing 17. ### delta_frequencies_EU.csv Delta frequencies across EU countries and across dates. These data are available from the ECDC website at https://www.ecdc.europa.eu/en/publications-data/data-virus-variants-covid-19-eueea ### spatial_variation_EU.csv Cleaned delta frequencies across EU countries at the time when the frequency passes 50%, used for inference.