Correlations and timeliness of COVID-19 surveillance data sources and Indicators ― United States, October 1, 2020–March 22, 2023

Scobie, Heather M.; Panaggio, Mark; Binder, Alison M.; Gallagher, Molly E.; Duck, William M.; Graff, Philip; Silk, Benjamin J.

doi:10.15585/mmwr.mm7219e2

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Correlations and timeliness of COVID-19 surveillance data sources and Indicators ― United States, October 1, 2020–March 22, 2023

March 14, 2023
By Scobie, Heather M. ; Panaggio, Mark ; Binder, Alison M. ; ...
http://dx.doi.org/10.15585/mmwr.mm7219e2
Source: Scobie HM, Panaggio M, Binder AM, et al. Correlations and Timeliness of COVID-19 Surveillance Data Sources and Indicators ― United States, October 1, 2020–March 22, 2023. MMWR Morb Mortal Wkly Rep. ePub: 5 May 2023
Series: MMWR. Morbidity and mortality weekly report ; v. 72, early release, May 5, 2023

[PDF-2.66 MB]

English

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Details:

Personal Author:

Scobie, Heather M. ; Panaggio, Mark ; Binder, Alison M. ; Gallagher, Molly E. ; Duck, William M. ; ... More +

Scobie, Heather M. ; Panaggio, Mark ; Binder, Alison M. ; Gallagher, Molly E. ; Duck, William M. ; Graff, Philip ; Silk, Benjamin J. Less -
Corporate Authors:

National Center for Immunization and Respiratory Diseases (U.S.). Coronavirus and Other Respiratory Viruses Division. ; Johns Hopkins University. 2Applied Physics Laboratory. ; National Center for Emerging and Zoonotic Diseases (U.S.). Division of Healthcare Quality and Promotion. ; Centers for Disease Control and Prevention (U.S.). Office of Public Health Data, Surveillance, and Technology.

National Center for Immunization and Respiratory Diseases (U.S.). Coronavirus and Other Respiratory Viruses Division. ; Johns Hopkins University. 2Applied Physics Laboratory. ; National Center for Emerging and Zoonotic Diseases (U.S.). Division of Healthcare Quality and Promotion. ; Centers for Disease Control and Prevention (U.S.). Office of Public Health Data, Surveillance, and Technology. Less -
Description:

What is already known about this topic? COVID-19 monitoring will remain a public health priority after the U.S. public health emergency declaration expires on May 11, 2023.

What is added by this report? Assessment of available surveillance indicators found that COVID-19 hospital admission levels were concordant with COVID-19 Community Levels. COVID-19–associated hospital admission rates lagged 1 day behind case rates and 4 days behind percentages of COVID-19 emergency department visits and positive SARS-CoV-2 test results. National Vital Statistics System trends in the percentage of COVID-19 deaths strongly correlated with, and were 13 days timelier, than aggregate death count data.

What are the implications for public health practice? Rates of COVID-19–associated hospital admission and the percentages of positive test results, COVID-19 emergency department visits, and COVID-19 deaths are suitable and timely indicators of trends in COVID-19 activity and severity.

Suggested citation for this article: Scobie HM, Panaggio M, Binder AM, et al. Correlations and Timeliness of COVID-19 Surveillance Data Sources and Indicators ― United States, October 1, 2020–March 22, 2023. MMWR Morb Mortal Wkly Rep. ePub: 5 May 2023. DOI: http://dx.doi.org/10.15585/mmwr.mm7219e2
Subjects:

[+]

Communicable Disease Control Coronavirus Infections COVID-19 Pandemics Population Surveillance Public Health Surveillance
Source:

Scobie HM, Panaggio M, Binder AM, et al. Correlations and Timeliness of COVID-19 Surveillance Data Sources and Indicators ― United States, October 1, 2020–March 22, 2023. MMWR Morb Mortal Wkly Rep. ePub: 5 May 2023
Series:

MMWR. Morbidity and mortality weekly report ; v. 72, early release, May 5, 2023
Document Type:

Journal Article
Place as Subject:

United States
Volume:

71
Collection(s):

Morbidity and Mortality Weekly Report (MMWR)
Main Document Checksum:

[+]

urn:sha256:9df0caa052b62318b314c1a153c00ef1915c1f4e95aab74f94bd8b39d2a98423
Download URL:

https://stacks.cdc.gov/view/cdc/127905/cdc_127905_DS1.pdf
File Type:

mm7219e2.htm?s_cid=mm7219e2_x

htm

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