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Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic.

Sharon K GreeneSarah F McGoughGretchen M CulpLaura E GrafMarc LipsitchNicolas A MenziesRebecca Kahn
Published in: JMIR public health and surveillance (2021)
Nowcasting using NobBS can effectively support COVID-19 trend monitoring. Accounting for overdispersion, shortening the moving window, and suppressing diagnoses on weekends-when fewer patients submitted specimens for testing-improved the accuracy of estimated case counts. Nowcasting ensured that recent decreases in observed case counts were not overinterpreted as true declines and supported officials in anticipating the magnitude and timing of hospitalizations and deaths and allocating resources geographically.
Keyphrases
  • coronavirus disease
  • sars cov
  • end stage renal disease
  • chronic kidney disease
  • ejection fraction
  • peripheral blood
  • respiratory syndrome coronavirus
  • electronic health record
  • peritoneal dialysis
  • big data