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COVID-19: Adaptation of a model to predicting healthcare resources needs in Valle del Cauca, Colombia.

Nicolas IragorriCarlos Gómez-RestrepoKali BarrettSocrates HerreraIsabel HurtadoYasin A KhanStephen MacDavid M J NaimarkPetros PechlivanoglouDiego RosselliDilian ToroPedro VillamizarRaphael XimenesHelmer ZapataBeate Sander
Published in: Colombia medica (Cali, Colombia) (2020)
Slowly lifting social distancing restrictions and reopening the economy is not expected to result in full resource depletion by October if the daily growth rate is maintained below 8%. Increasing the number of available beds provides a safeguard against slightly higher infection rates. Predictive models can be iteratively used to obtain nuanced predictions to aid decision-making.
Keyphrases
  • healthcare
  • decision making
  • coronavirus disease
  • sars cov
  • physical activity
  • mental health
  • respiratory syndrome coronavirus
  • affordable care act