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From cause to care: Can a triple approach to better population data improve the global outlook of congenital heart disease?by Lorenzo D. Botto, Pierpaolo Mastroiacovo
Abstract The SARS-CoV-2 pandemic triggered substantial economic and social disruptions. Mitigation policies varied across countries based on resources, political conditions, and human behavior. In the absence of widespread vaccination able to induce herd immunity, strategies to coexist with the virus while minimizing risks of surges are paramount, which should work in parallel with reopening societies. To support these strategies, we present a predictive control system coupled with a nonlinear model able to optimize the level of policies to stop epidemic growth. We applied this system to study the unfolding of COVID-19 in Bahia, Brazil, also assessing the effects of varying population compliance. We show the importance of finely tuning the levels of enforced measures to achieve SARS-CoV-2 containment, with periodic interventions emerging as an optimal control strategy in the long-term.
Surgical care has made limited inroads on the public health and global health agendas despite increasing data showing the enormous need. The objective of this study was to survey interested members of a global surgery community to identify patterns of thought regarding barriers to political priority.