Surendra, H., Djaafara, B.A., Prameswari, H.D. et al. Mitigating risks of malaria and other vector-borne diseases in the new capital city of Indonesia. Nat Commun 15, 10575 (2024). https://doi.org/10.1038/s41467-024-54891-x

Dan, S., Tegegne, J., Chen, Y., Ling, Z., Jaeger, V.K., Karch, A., Mishra, S. and Ratmann, O., 2024. Towards pandemic preparedness: ability to estimate high-resolution social contact patterns from longitudinal surveys. arXiv preprint arXiv:2411.03774.

Morgenstern C, Laydon DJ, Whittaker C, Mishra S, Haw D, Bhatt S, et al. (2024) The interaction of disease transmission, mortality, and economic output over the first 2 years of the COVID-19 pandemic. PLoS ONE 19(6): e0301785. https://doi.org/10.1371/journal.pone.0301785

Smith, T.P., Mishra, S., Dorigatti, I. et al. Differential responses of SARS-CoV-2 variants to environmental drivers during their selective sweeps. Sci Rep 14, 13326 (2024). https://doi.org/10.1038/s41598-024-64044-1

Katsiferis A, Bhatt S, Mortensen LH, Mishra S, Jensen MK, Westendorp RGJ (2023) Machine learning models of healthcare expenditures predicting mortality: A cohort study of spousal bereaved Danish individuals. PLoS ONE 18(8): e0289632. https://doi.org/10.1371/journal.pone.0289632

Semenova, E., Mishra, S., Bhatt, S., Flaxman, S., Unwin, H.J.T. (2024). Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. In: Cuzzolin, F., Sultana, M. (eds) Epistemic Uncertainty in Artificial Intelligence . Epi UAI 2023. Lecture Notes in Computer Science(), vol 14523. Springer, Cham. https://doi.org/10.1007/978-3-031-57963-9_2

Banholzer, N., Mellan, T., Unwin, H.J.T., Feuerriegel, S., Mishra, S. and Bhatt, S., 2023. A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. arXiv preprint arXiv:2305.00933.

Samir Bhatt, Neil Ferguson, Seth Flaxman, Axel Gandy, Swapnil Mishra, James A Scott, Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes, Journal of the Royal Statistical Society Series A: Statistics in Society, Volume 186, Issue 4, October 2023, Pages 601–615, https://doi.org/10.1093/jrsssa/qnad030

Flaxman S, Whittaker C, Semenova E, et al. Assessment of COVID-19 as the Underlying Cause of Death Among Children and Young People Aged 0 to 19 Years in the US. JAMA Netw Open. 2023;6(1):e2253590. doi:10.1001/jamanetworkopen.2022.53590