Routine Assessment of Infections, Prevention, and Control of SARS-CoV-2 on Unequal Populations (DP-RASUP)

Juliane Foseca de Oliveira and colleagues at Fiocruz in Brazil will develop mathematical and statistical methods to  model COVID-19 transmission across populations in Brazil to better inform local intervention efforts. Social and  economic inequalities are known to shape the spread of diseases. They will integrate 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 will be 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 will be 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.

Driver Project 11 - Routine Assessment of Infections, Prevention, and Control of SARS-CoV-2 on Unequal Populations