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Kevin Brown shares some insights gained from some public health response projects, these included awkward administrative data and simple regression models. Under consideration are: thinking about time trends; difference in differences; smoothing splines; colonization pressure to predict outbreak severity in real time. Lessons will also we discussed bout how to make the most of our skills in the context of the evolving pandemic.

Kevin Brown is an infectious disease epidemiologist, a Scientist at Public Health Ontario, and an Assistant Professor at the University of Toronto. His research is focused on spatial and temporal modelling of infectious diseases, with a focus on C. difficile infection, antimicrobial resistance, and, more recently, SARS-CoV-2 infection. He has training in biostatistics (MPH), as well as in epidemiology (PhD), and an interest in multilevel modelling and longitudinal data.

Links to his work: https://scholar.google.ca/citations?user=90s6cTYAAAAJ&hl=en

RELEVANT PUBLICATIONS

A. Gelman, 2007 'Difference-in-difference estimators are a special case of lagged regression' https://statmodeling.stat.columbia.edu/2007/02/15/differenceindif/

Brown et al. 'Association Between Nursing Home Crowding and COVID-19 Infection and Mortality in Ontario, Canada; 2020: https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2772335