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An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series
The COVID-19 pandemic stimulated the interest of scientists, decision makers and the general public in short-term mortality fluctuations caused by epidemics and other natural or man-made disasters. To address this interest and provide a basis for further research, in May 2020, the Short-term Mortali...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864412/ https://www.ncbi.nlm.nih.gov/pubmed/33544767 http://dx.doi.org/10.1371/journal.pone.0246663 |
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author | Németh, László Jdanov, Dmitri A. Shkolnikov, Vladimir M. |
author_facet | Németh, László Jdanov, Dmitri A. Shkolnikov, Vladimir M. |
author_sort | Németh, László |
collection | PubMed |
description | The COVID-19 pandemic stimulated the interest of scientists, decision makers and the general public in short-term mortality fluctuations caused by epidemics and other natural or man-made disasters. To address this interest and provide a basis for further research, in May 2020, the Short-term Mortality Fluctuations data series was launched as a new section of the Human Mortality Database. At present, this unique data resource provides weekly mortality death counts and rates by age and sex for 38 countries and regions. The main objective of this paper is to detail the web-based application for visualizing and analyzing the excess mortality based on the Short-term Mortality Fluctuation data series. The application yields a visual representation of the database that enhances the understanding of the underlying data. Besides, it enables the users to explore data on weekly mortality and excess mortality across years and countries. The contribution of this paper is twofold. First, to describe a visualization tool that aims to facilitate research on short-term mortality fluctuations. Second, to provide a comprehensive open-source software solution for demographic data to encourage data holders to promote their datasets in a visual framework. |
format | Online Article Text |
id | pubmed-7864412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78644122021-02-12 An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series Németh, László Jdanov, Dmitri A. Shkolnikov, Vladimir M. PLoS One Research Article The COVID-19 pandemic stimulated the interest of scientists, decision makers and the general public in short-term mortality fluctuations caused by epidemics and other natural or man-made disasters. To address this interest and provide a basis for further research, in May 2020, the Short-term Mortality Fluctuations data series was launched as a new section of the Human Mortality Database. At present, this unique data resource provides weekly mortality death counts and rates by age and sex for 38 countries and regions. The main objective of this paper is to detail the web-based application for visualizing and analyzing the excess mortality based on the Short-term Mortality Fluctuation data series. The application yields a visual representation of the database that enhances the understanding of the underlying data. Besides, it enables the users to explore data on weekly mortality and excess mortality across years and countries. The contribution of this paper is twofold. First, to describe a visualization tool that aims to facilitate research on short-term mortality fluctuations. Second, to provide a comprehensive open-source software solution for demographic data to encourage data holders to promote their datasets in a visual framework. Public Library of Science 2021-02-05 /pmc/articles/PMC7864412/ /pubmed/33544767 http://dx.doi.org/10.1371/journal.pone.0246663 Text en © 2021 Németh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Németh, László Jdanov, Dmitri A. Shkolnikov, Vladimir M. An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series |
title | An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series |
title_full | An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series |
title_fullStr | An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series |
title_full_unstemmed | An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series |
title_short | An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series |
title_sort | open-sourced, web-based application to analyze weekly excess mortality based on the short-term mortality fluctuations data series |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864412/ https://www.ncbi.nlm.nih.gov/pubmed/33544767 http://dx.doi.org/10.1371/journal.pone.0246663 |
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