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

ABSTRACT:

Objectives

High-quality data are crucial for guiding decision-making and practising evidence-based healthcare, especially if previous knowledge is lacking. Nevertheless, data quality frailties have been exposed worldwide during the current COVID-19 pandemic. Focusing on a major Portuguese epidemiological surveillance dataset, our study aims to assess COVID-19 data quality issues and suggest possible solutions.

Settings

On 27 April 2020, the Portuguese Directorate-General of Health (DGS) made available a dataset (DGSApril) for researchers, upon request. On 4 August, an updated dataset (DGSAugust) was also obtained.

Participants

All COVID-19-confirmed cases notified through the medical component of National System for Epidemiological Surveillance until end of June.

P

SUBMITTER: Costa-Santos C 

PROVIDER: S-EPMC8649880 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature