In their project, 'Routine Assessment of Infections, Prevention, and Control of SARS-CoV-2 on Unequal Populations in Brazil', Juliane Fonseca de Oliveira and colleagues at Fiocruz in Brazil developed mathematical and statistical methods to model COVID-19 transmission across populations in Brazil to better inform local intervention efforts. They integrated existing health data together with social and economic determinants for 5,570 Brazilian cities, as well as data on the effects of the mitigation strategies and social mobility patterns. These data were used to develop and apply statistical analyses and nonlinear mathematical modelling to forecast disease outcomes that consider the specific socio-economic conditions, which influence transmission rates. The results are presented on a user-friendly surveillance platform that can be used by local governments and communities to identify the most effective control methods for their region.
Juliane Oliveira and her team also created videos and a YouTube playlist with video lectures intended to serve as advanced tutorials based on the research activities developed at PAMEpi.