Cargando…

The short-term mortality fluctuation data series, monitoring mortality shocks across time and space

The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is...

Descripción completa

Detalles Bibliográficos
Autores principales: Jdanov, Dmitri A., Galarza, Ainhoa Alustiza, Shkolnikov, Vladimir M., Jasilionis, Domantas, Németh, László, Leon, David A., Boe, Carl, Barbieri, Magali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421508/
https://www.ncbi.nlm.nih.gov/pubmed/34489477
http://dx.doi.org/10.1038/s41597-021-01019-1
_version_ 1783749094990151680
author Jdanov, Dmitri A.
Galarza, Ainhoa Alustiza
Shkolnikov, Vladimir M.
Jasilionis, Domantas
Németh, László
Leon, David A.
Boe, Carl
Barbieri, Magali
author_facet Jdanov, Dmitri A.
Galarza, Ainhoa Alustiza
Shkolnikov, Vladimir M.
Jasilionis, Domantas
Németh, László
Leon, David A.
Boe, Carl
Barbieri, Magali
author_sort Jdanov, Dmitri A.
collection PubMed
description The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface.
format Online
Article
Text
id pubmed-8421508
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-84215082021-09-14 The short-term mortality fluctuation data series, monitoring mortality shocks across time and space Jdanov, Dmitri A. Galarza, Ainhoa Alustiza Shkolnikov, Vladimir M. Jasilionis, Domantas Németh, László Leon, David A. Boe, Carl Barbieri, Magali Sci Data Data Descriptor The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface. Nature Publishing Group UK 2021-09-06 /pmc/articles/PMC8421508/ /pubmed/34489477 http://dx.doi.org/10.1038/s41597-021-01019-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Jdanov, Dmitri A.
Galarza, Ainhoa Alustiza
Shkolnikov, Vladimir M.
Jasilionis, Domantas
Németh, László
Leon, David A.
Boe, Carl
Barbieri, Magali
The short-term mortality fluctuation data series, monitoring mortality shocks across time and space
title The short-term mortality fluctuation data series, monitoring mortality shocks across time and space
title_full The short-term mortality fluctuation data series, monitoring mortality shocks across time and space
title_fullStr The short-term mortality fluctuation data series, monitoring mortality shocks across time and space
title_full_unstemmed The short-term mortality fluctuation data series, monitoring mortality shocks across time and space
title_short The short-term mortality fluctuation data series, monitoring mortality shocks across time and space
title_sort short-term mortality fluctuation data series, monitoring mortality shocks across time and space
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421508/
https://www.ncbi.nlm.nih.gov/pubmed/34489477
http://dx.doi.org/10.1038/s41597-021-01019-1
work_keys_str_mv AT jdanovdmitria theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT galarzaainhoaalustiza theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT shkolnikovvladimirm theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT jasilionisdomantas theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT nemethlaszlo theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT leondavida theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT boecarl theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT barbierimagali theshorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT jdanovdmitria shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT galarzaainhoaalustiza shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT shkolnikovvladimirm shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT jasilionisdomantas shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT nemethlaszlo shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT leondavida shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT boecarl shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace
AT barbierimagali shorttermmortalityfluctuationdataseriesmonitoringmortalityshocksacrosstimeandspace