Sharmistha Mishra is an infectious disease physician and mathematical epidemiologist. She holds a Tier 2 Canada Research Chair in Mathematical Modeling and Program Science. Her lab's research is centered on teasing apart mechanisms and consequences of heterogeneity and health disparities in epidemics. They work at the intersections of epidemic theory and causal inference, harnessing different types of data and building new mathematical models of disease transmission. The lab's partnerships and engagement with communities and public health teams at multiple levels and across epidemic contexts, shape their science.
Pandemic Related Publications
Baral S, Rucinski K, Twahirwa Rwema JO, Rao A, Menezes NP,…, Mishra S. The relationship between the global burden of influenza from 2017-2019 and COVID-19: a descriptive epidemiological assessment. JMIR Public Health Surveill. 2021;7(3):e24696.
Knight J, Mishra S. Estimating effective reproduction number using generation time versus serial interval, with application to COVID-19 in the Greater Toronto Area, Canada. Infect Dis Model. 2020;5:889-896.
Wang L, Ma H, Yiu KCY, Calzavara A, Landsman D, Luong L,…, Mishra S. Heterogeneity in risk, testing and outcome of COVID-19 across outbreak settings in the Greater Toronto Area, Canada: an observational study. CMAJ Open. 2020;8(4):E627-E636.
Mishra S, Wang L, Ma H, Yiu K, Paterson JM, Kim E, et al. Estimated surge in hospital and intensive care admission because of the coronavirus disease 2019 pandemic in the Greater Toronto Area, Canada: a mathematical modelling study. CMAJ Open. 2020;8(3):E593-E604.
Mishra S, Kwong J, Chan A, Baral S. Understanding heterogeneity to inform the public health response to COVID-19 in Canada. CMAJ. 2020;192(25):E684-E685.
Sundaram ME, Calzavara A, Mishra S, Kustra R, Chan AK, Hamilton MA, et al. The individual and social determinants of COVID-19 in Ontario, Canada: a population-wide study. CMAJ. 2021. Epub ahead of print. Available at: https://doi.org/10.1503/cmaj.202608
Mac S, Mishra S, Ximenes R, Barrett K, Khan YA, Naimark D, et al. Modeling the coronavirus disease 2019 pandemic: a comprehensive guide of infectious disease and decision-analytic models. J Clin Epi. 2021;132:133-141. Available at: https://www.doi.org/10.1016/j.jclinepi.2020.12.002
Naimark D, Mishra S, Barrett K, Khan YA, Mac S, Ximenes R, et al. Simulated-model based estimation of COVID-19 infections associated with school closures and community-based non-pharmaceutical interventions in Ontario, Canada. JAMA Netw Open. 2021;4(3):e213793. Available at: https://www.doi.org/10.1001/jamanetworkopen.2021.3793
Silhol R, Geidelberg L, Mitchell KM, Mishra S, Dimitrov D, Bowring A, et al. Assessing the potential impact of disruptions due to COVID-19 on HIV among key and lower-risk populations in the largest cities of Cameroon and Benin. J Acquir Immune Defic Syndr. 2021. Epub ahead of print. Available at: https://www.doi.org/10.1097/QAI.0000000000002663
Baral S, Chandler R, Gil-Prieto R, Gupta S, Mishra S, Kulldorff M. Leveraging epidemiological principles to evaluate Sweden’s COVID-19 response. Ann Epidemiol. 2020;54:21-26. Available at: https://www.doi.org/10.1016/j.annepidem.2020.11.005
Godin A, Xia Y, Buckeridge D, Mishra S, Douwes-Schultz D, Shen Y, et al. The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada - a mathematical modeling study of surveillance data. Int J Infect Dis. 2020;102:254-259. Available at: https://www.doi.org/10.1016/j.ijid.2020.10.046
Baral SD, Mishra S, Diouf D, Phanuphak N, Dowdy D. The public health response to pandemics: balancing precaution and unintended consequences. Ann Epidemiol. 2020;46:12-13. Available at: https://www.doi.org/10.1016/j.annepidem.2020.05.001