Hospital coronavirus disease 2019 (COVID-19) public health reporting: Lessons from validation of an automated surveillance tool to facilitate data collection

被引：1

作者：

Gamage, Shantini D. ^{[1
,2
]}

Evans, Martin E. ^{[1
,3
,4
]}

McCauley, Brian P. ^{[1
]}

Lipscomb, Karen R. ^{[1
]}

Flarida, Linda ^{[1
]}

Jones, Makoto M. ^{[5
,6
]}

Baza, Michael ^{[5
,6
]}

Barraza, Jeremy ^{[5
,6
]}

Simbartl, Loretta A. ^{[1
]}

Roselle, Gary A. ^{[1
,2
,7
]}

机构：

[1] US Dept Vet Affairs, Natl Infect Dis Serv, Specialty Care Serv, Vet Hlth Adm, Washington, DC USA

[2] Univ Cincinnati, Dept Internal Med, Div Infect Dis, Coll Med, Cincinnati, OH USA

[3] Lexington Vet Affairs VA Healthcare Syst, Lexington, KY USA

[4] Univ Kentucky, Dept Internal Med, Div Infect Dis, Sch Med, Lexington, KY USA

[5] VA Salt Lake City Healthcare Syst, Salt Lake City, UT USA

[6] Univ Utah, Sch Med, Dept Internal Med, Div Epidemiol, Salt Lake City, UT USA

[7] Cincinnati Vet Affairs Med Ctr, Cincinnati, OH USA

来源：

INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY | 2023年 / 44卷 / 05期

关键词：

D O I：

10.1017/ice.2022.55

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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.

引用

页码：802 / 804

页数：3

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