tag:joss.theoj.org,2005:/papers/by/Sam%20AbbottJournal of Open Source Software2021-07-15T14:28:41ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/26732021-07-15T14:28:41Z2021-07-15T14:28:41Zcovidregionaldata: Subnational data for COVID-19 epidemiologyaccepted0.9.12021-05-12 15:00:05 UTC632021-07-15 14:28:41 UTC620213290JosephPalmerDepartment of Biological Sciences, Royal Holloway University of London0000-0002-5593-9352KatharineSherrattCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine0000-0003-2049-3423RichardMartin-NielsenNoneJonnieBevanTessellaHamishGibbsCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine0000-0003-4413-453XCmmidCOVID-19 WorkingGroupCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineSebastianFunkCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineSamAbbottCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine0000-0001-8057-803710.21105/joss.03290https://doi.org/10.5281/zenodo.5059988Rhttps://joss.theoj.org/papers/10.21105/joss.03290.pdfCOVID-19, Open data, rstats, Sars-Cov-2tag:joss.theoj.org,2005:Paper/8402019-02-26T16:01:02Z2021-02-15T11:32:35ZgetTBinR: an R package for accessing and summarising the World Health Organisation Tuberculosis dataacceptedv0.5.72019-01-29 17:15:22 UTC342019-02-26 16:01:02 UTC420191260SamAbbottBristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK0000-0001-8057-803710.21105/joss.01260https://doi.org/10.5281/zenodo.2547405Rhttps://joss.theoj.org/papers/10.21105/joss.01260.pdfrstats, World Health Organisation, Open Data, Visualisation, Infectious Disease, Tuberculosis