An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality...

Area of Science:

• Demography
• Public Health
• Data Visualization

Background:

• The COVID-19 pandemic increased interest in short-term mortality fluctuations from various causes.
• The Short-term Mortality Fluctuations (SMF) data series was launched in May 2020.
• SMF provides weekly mortality data by age and sex for 38 countries/regions.

Purpose of the Study:

• To detail a web-based application for visualizing and analyzing excess mortality using SMF data.
• To enhance understanding of short-term mortality fluctuations through data visualization.
• To provide an open-source software solution for demographic data visualization.

Main Methods:

• Development of a web-based application for data visualization and analysis.
• Utilizing the Short-term Mortality Fluctuations data series.
• Focus on exploring weekly mortality and excess mortality trends across different years and countries.

Main Results:

• The application offers a visual representation of the SMF database.
• Users can explore weekly mortality and excess mortality data interactively.
• The tool facilitates comparative analysis of mortality patterns across countries and time.

Conclusions:

• The developed visualization tool simplifies research on short-term mortality fluctuations.
• The open-source software encourages the promotion and visual exploration of demographic datasets.
• This resource supports a deeper understanding of population responses to crises.