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COVID-19 surveillance data quality issues: a national consecutive case series.

Cristina Maria Nogueira da Costa SantosAna Luísa NevesRicardo CorreiaPaulo SantosMatilde Monteiro SoaresAlberto FreitasInes Ribeiro-VazTeresa S HenriquesPedro Pereira RodriguesAltamiro Costa-PereiraAna Margarida PereiraJoao A Fonseca
Published in: BMJ open (2021)
Important quality issues of the Portuguese COVID-19 surveillance datasets were described. These issues can limit surveillance data usability to inform good decisions and perform useful research. Major improvements in surveillance datasets are therefore urgently needed-for example, simplification of data entry processes, constant monitoring of data, and increased training and awareness of healthcare providers-as low data quality may lead to a deficient pandemic control.
Keyphrases
  • electronic health record
  • coronavirus disease
  • sars cov
  • public health
  • healthcare
  • big data
  • quality improvement
  • rna seq
  • social media
  • artificial intelligence
  • health insurance