2023

Baerenbold, O., Meis, M., Martı́nez-Hernández, I., Euán, C., Burr, W. S., Tremper, A., Fuller, G., Pirani, M. and Blangiardo, M. (2023). A dependent bayesian dirichlet process model for source apportionment of particle number size distribution. Environmetrics 34, e2763.

Konstantinoudis, G., Minelli, C., Lam, H. C. Y., Fuertes, E., Ballester, J., Davies, B., Vicedo-Cabrera, A. M., Gasparrini, A. and Blangiardo, M. (2023). Asthma hospitalisations and heat exposure in england: A case–crossover study during 2002–2019. thorax. https://thorax.bmj.com/content/early/2023/04/17/thorax-2022-219901.

Li, G., Denise, H., Diggle, P., Grimsley, J., Holmes, C., James, D., Jersakova, R., Mole, C., Nicholson, G., Smith, C. R., et al. (2023). A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic. Environment international 172, 107765.

Shoari, N., Heydari, S. and Blangiardo, M. (2023). A decade of child pedestrian safety in england: A bayesian spatio-temporal analysis. BMC public health 23, 1–13.