A comparison of computer-extracted and facility-reported counts of hospitalized coronavirus disease 2019 (COVID-19) patients for public health reporting at 36 hospitals revealed 42% of days with matching counts between the data sources. Miscategorization of suspect cases was a primary driver of discordance. Clear reporting definitions and data validation facilitate emerging disease surveillance.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021587 | PMC |
| http://dx.doi.org/10.1017/ice.2022.55 | DOI Listing |
Publication Analysis
Top Keywords
coronavirus disease
8
disease 2019
8
2019 covid-19
8
public health
8
health reporting
8
hospital coronavirus
4
covid-19 public
4
reporting lessons
4
lessons validation
4
validation automated
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!