Data Collection

Colbourn, T, Waites, W, Manheim, D, Sturniolo, S, Kerr, CC, Panovska-Griffiths, J and Colbourn, G (2020). ptti/ptti: Modelling the health and economic impacts of different testing and tracing strategies for COVID-19 in the UK. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4298798

Horton, KC, Sumner, T, Houben, Rein M G J, Corbett, EL and White, RG (2018). A Bayesian approach to understanding gender differences in tuberculosis disease burden. [Data Collection]. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwy131

Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF (2018). Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BPSZZS

Mccreesh, N (2017). Model code for "An explanation for the low proportion of tuberculosis that results from transmission between household and known social contacts". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.283.

van Kleef, E, Luangasanatip, N, Bonten, MJ and Cooper, BS (2017). R code: why sensitive bacteria are resistant to hospital infection control. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1045530