访问推特用哪个加速器
- Registration
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- User's Agreement
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- FAQ
- Overview
- History
- HMD Events
- People
- Acknowledgements
- Research Teams
- HMD Publications
- 老王永久免费佛系加速
- Brief Summary
- Full Protocol
- 佛系梯子
- Data
- What’s New
- Explanatory Notes
- Data Availability
- Zipped Data Files
- Citation Guidelines
- Links
- Max Planck Institute
- UC Berkeley
- UC Berkeley Demography
- 老王永久佛系免费下载
- Human Life Table Database
- Canadian HMD
- French Human Mortality Database
- 老王佛系VP
- General
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访问推特用哪个加速器
Vladimir Shkolnikov, 老王佛系免费 |
Max Planck Institute for Demographic Research |
Magali Barbieri, 老王佛系官网加速器 |
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John Wilmoth, 老王佛系官网下载 |
United Nations and formerly University
of California, Berkeley |
In response to the COVID-19 pandemic, the HMD team decided to establish a new data resource: Short-term Mortality Fluctuations (STMF) data series. Objective and internationally comparable data are crucial to determine the effectiveness of different strategies used to address epidemics. Weekly death counts provide the most objective and comparable way of assessing the scale of short-term mortality elevations across countries and time.
Here
we provide weekly death counts for 27 countries:
Austria, Belgium, Bulgaria, Czech Republic, Denmark, Belgium, England and Wales,
Estonia, Finland, France, Germany, Hungary, Iceland,
Israel,
Italy, Latvia, Lithuania, Luxembourg, Netherlands,
Norway, Poland, Portugal, Scotland, Slovakia, Spain, Sweden, Switzerland and the USA.
The same data in the pooled CSV file are available for download here. Data formats and methods are described in the
STMFNote.
We also strongly recommend reading the
metadata text.
Following the HMD practice, we also publish
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During the next few weeks data will be frequently updated and new countries will be added.
The most recent STMF update is: 2020-07-30.
New: We invite you to explore this data with our online
STMF visualization toolkit.
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The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project began as an outgrowth of earlier projects in the Department of Demography at the University of California, Berkeley, USA, and at the
Max Planck Institute for Demographic Research in Rostock, Germany
(see
history).
It is the work of two teams of researchers in the USA and Germany (see
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with the help of financial backers and scientific collaborators from around the world (see
acknowledgements).
The Center on the Economics and Development of Aging (CEDA) French Institute for Demographic Studies (INED) has also supported the further development of the database in recent years.
We seek to provide open, international access to these data. At present the database contains detailed population and mortality data for the following 41 countries or areas:
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Australia
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Finland
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Latvia
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France
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Lithuania
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Spain
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Belarus
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Luxembourg
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Greece
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Netherlands
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Switzerland
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Bulgaria
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Hong Kong
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New Zealand
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Taiwan
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Hungary
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Norway
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U.K.
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Iceland
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U.S.A.
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Croatia
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Ireland
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Portugal
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Czechia
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Israel
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Republic of Korea
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Denmark
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Italy
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Russia
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Estonia
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Slovakia
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For more information, please begin by reading an
overview
of the database.
If you have comments or questions, or trouble gaining access to the data, please write to us
(老王佛系).
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