Abstract
This article addresses regional inequalities about critical healthcare infrastructure for coping with the COVID-19, based on geospatial analysis and compartmental modeling (SEIR). The study sites were the São Paulo Macro Metropolis (MMP) and the Metropolitan Region of Vale do Paraíba/Litoral Norte (RMVPLN). The results indicated the absence of ICU beds in more than 2/3 of the municipalities, in addition to the concentration in regional hubs, for which the migration of COVID-19 cases from neighboring municipalities should be considered. The analysis with the SEIR model, performed for scenarios with and without social isolation, showed that the isolation adopted in the regions was able to postpone the collapse of the health infrastructure, reducing the reproduction rate of the disease. The simulations indicated a reproduction rate of 0.95 in order to avoid collapse in the health infrastructure for RMVPLN in the analyzed period. In addition, for future resilience, it is essential to address inequalities in terms of health infrastructure available for public and private access.
Keywords:
COVID-19; regional aspects; Brazil; health infrastructure
Source: Organized by the authors based on data from 
Source: Organized by the authors based on EMPLASA (2019) data.
Source: Organized by the authors based on DATASUS / CNES data (2020).
Source: Organized by the authors. Note: Hypothesis 1 - Without containment measure (R0 = 1.95-2.16).
Source: Organized by the authors. Note: Hypothesis 2 - With containment measure (R0 = 0.9-1.0).