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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.
  • Jdanov DA; Max Planck Institute for Demographic Research, Rostock, Germany. Jdanov@demogr.mpg.de.
  • Galarza AA; Research University Higher School of Economics, Moscow, Russia. Jdanov@demogr.mpg.de.
  • Shkolnikov VM; Max Planck Institute for Demographic Research, Rostock, Germany.
  • Jasilionis D; Max Planck Institute for Demographic Research, Rostock, Germany.
  • Németh L; Research University Higher School of Economics, Moscow, Russia.
  • Leon DA; Max Planck Institute for Demographic Research, Rostock, Germany.
  • Boe C; Demographic Research Centre, Vytautas Magnus University, Kaunas, Lithuania.
  • Barbieri M; Max Planck Institute for Demographic Research, Rostock, Germany.
Sci Data ; 8(1): 235, 2021 09 06.
Article in English | MEDLINE | ID: covidwho-1397887
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mortality / Databases, Factual / Pandemics / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Data Year: 2021 Document Type: Article Affiliation country: S41597-021-01019-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mortality / Databases, Factual / Pandemics / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Data Year: 2021 Document Type: Article Affiliation country: S41597-021-01019-1