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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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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 |
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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 |
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