Show simple item record

dc.contributor.authorRosenbaum, Janet E
dc.contributor.authorStillo, Marco
dc.contributor.authorGraves, Nathaniel
dc.contributor.authorRivera, Roberto
dc.date.accessioned2023-03-01T19:06:48Z
dc.date.available2023-03-01T19:06:48Z
dc.date.issued2021-11-03
dc.identifier.citationRosenbaum JE, Stillo M, Graves N, Rivera R. Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality. J Public Health Policy. 2021 Dec;42(4):536-549. doi: 10.1057/s41271-021-00309-7. Epub 2021 Nov 3. PMID: 34732841; PMCID: PMC8564267.en_US
dc.identifier.eissn1745-655X
dc.identifier.doi10.1057/s41271-021-00309-7
dc.identifier.pmid34732841
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8419
dc.description.abstractAll-cause mortality counts allow public health authorities to identify populations experiencing excess deaths from pandemics, natural disasters, and other emergencies. Delays in the completeness of mortality counts may contribute to misinformation because death counts take weeks to become accurate. We estimate the timeliness of all-cause mortality releases during the COVID-19 pandemic for the dates 3 April to 5 September 2020 by estimating the number of weekly data releases of the NCHS Fluview Mortality Surveillance System until mortality comes within 99% of the counts in the 19 March 19 2021 provisional mortality data release. States' mortality counts take 5 weeks at median (interquartile range 4-7 weeks) to completion. The fastest states were Maine, New Hampshire, Vermont, New York, Utah, Idaho, and Hawaii. States that had not adopted the electronic death registration system (EDRS) were 4.8 weeks slower to achieve complete mortality counts, and each weekly death per 10^8 was associated with a 0.8 week delay. Emergency planning should improve the timeliness of mortality data by improving state vital statistics digital infrastructure.
dc.language.isoenen_US
dc.relation.urlhttps://link.springer.com/article/10.1057/s41271-021-00309-7en_US
dc.rights© 2021. The Author(s), under exclusive licence to Springer Nature Limited.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAll-cause mortalityen_US
dc.subjectCovid-19en_US
dc.subjectDeath certificatesen_US
dc.subjectExcess mortalityen_US
dc.subjectReporting delayen_US
dc.subjectVital statisticsen_US
dc.titleTimeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleJournal of public health policyen_US
dc.source.volume42
dc.source.issue4
dc.source.beginpage536
dc.source.endpage549
dc.source.countryEngland
dc.description.versionVoRen_US
refterms.dateFOA2023-03-01T19:06:48Z
html.description.abstractAll-cause mortality counts allow public health authorities to identify populations experiencing excess deaths from pandemics, natural disasters, and other emergencies. Delays in the completeness of mortality counts may contribute to misinformation because death counts take weeks to become accurate. We estimate the timeliness of all-cause mortality releases during the COVID-19 pandemic for the dates 3 April to 5 September 2020 by estimating the number of weekly data releases of the NCHS Fluview Mortality Surveillance System until mortality comes within 99% of the counts in the 19 March 19 2021 provisional mortality data release. States' mortality counts take 5 weeks at median (interquartile range 4-7 weeks) to completion. The fastest states were Maine, New Hampshire, Vermont, New York, Utah, Idaho, and Hawaii. States that had not adopted the electronic death registration system (EDRS) were 4.8 weeks slower to achieve complete mortality counts, and each weekly death per 10^8 was associated with a 0.8 week delay. Emergency planning should improve the timeliness of mortality data by improving state vital statistics digital infrastructure.
dc.description.institutionN/Aen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalJournal of public health policy


Files in this item

Thumbnail
Name:
41271_2021_Article_309.pdf
Size:
1.088Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.
Except where otherwise noted, this item's license is described as © 2021. The Author(s), under exclusive licence to Springer Nature Limited.