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Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality
All-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....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564267/ https://www.ncbi.nlm.nih.gov/pubmed/34732841 http://dx.doi.org/10.1057/s41271-021-00309-7 |
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author | Rosenbaum, Janet E. Stillo, Marco Graves, Nathaniel Rivera, Roberto |
author_facet | Rosenbaum, Janet E. Stillo, Marco Graves, Nathaniel Rivera, Roberto |
author_sort | Rosenbaum, Janet E. |
collection | PubMed |
description | All-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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41271-021-00309-7. |
format | Online Article Text |
id | pubmed-8564267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85642672021-11-03 Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality Rosenbaum, Janet E. Stillo, Marco Graves, Nathaniel Rivera, Roberto J Public Health Policy Original Article All-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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41271-021-00309-7. Palgrave Macmillan UK 2021-11-03 2021 /pmc/articles/PMC8564267/ /pubmed/34732841 http://dx.doi.org/10.1057/s41271-021-00309-7 Text en © The Author(s), under exclusive licence to Springer Nature Limited 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Rosenbaum, Janet E. Stillo, Marco Graves, Nathaniel Rivera, Roberto Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality |
title | Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality |
title_full | Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality |
title_fullStr | Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality |
title_full_unstemmed | Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality |
title_short | Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality |
title_sort | timeliness of provisional united states mortality data releases during the covid-19 pandemic: delays associated with electronic death registration system and weekly mortality |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564267/ https://www.ncbi.nlm.nih.gov/pubmed/34732841 http://dx.doi.org/10.1057/s41271-021-00309-7 |
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