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 FonsecaPublished 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.