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The SARS-COV2 Global Outbreak: A Neurosurgical Treatment Algorithm Made Possible in a Low-Resource Scenario

Author

Listed:
  • Raphael Bertani
  • Paulo Santa Maria
  • Ruy Monteiro
  • Caio Perret

    (Department of Neurological Surgery - Miguel Couto Municipal Hospital Laboratory for Neuroprotection and Regenerative Strategies Federal University of Rio de Janeiro (UFRJ) / Fundação Osvaldo Cruz (FioCruz)Rio de Janeiro, RJ, Brazil)

  • Stefan Koester

    (Department of Basic Sciences, Vanderbilt University, United States)

Abstract

Not until March 11th, the outbreak of the novel coronavirus was declared to be a global pandemic. It is a reasonable consensus to hold the statement that, throughout the world, the vast majority of the healthcare systems were not prepared to manage and constrain disease spreading and treatment. Despite curve flattening strategies, most of the specialty facilities had to withhold, reduce or even cancel their activities to aid the urging need of intensive and non-intensive care unit efforts engaged in SARS-COV2 infection management. Considering the remainder functional neurosurgery facilities in underdeveloped countries, most of the departments are facing the conundrum in considering what is preconized by the society’s recommendations, and what the healthcare professionals are covering in the already overloaded working scenarios. This article intends to report our center’s experience and crisis management organization as one of the functional departments in a low resource scenario considering the current evidence and society’s recommendations, hence aiding the formulation of algorithms and institutional protocols in centers facing the same challenges.

Suggested Citation

  • Raphael Bertani & Paulo Santa Maria & Ruy Monteiro & Caio Perret & Stefan Koester, 2020. "The SARS-COV2 Global Outbreak: A Neurosurgical Treatment Algorithm Made Possible in a Low-Resource Scenario," Open Access Journal of Neurology & Neurosurgery, Juniper Publishers Inc., vol. 14(1), pages 13-17, July.
  • Handle: RePEc:adp:joajnn:v:14:y:2020:i:1:p:13-17
    DOI: 10.19080/OAJNN.2020.14.555878
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