GithubHelp home page GithubHelp logo

bjornpiltz / excess_deaths Goto Github PK

View Code? Open in Web Editor NEW
0.0 3.0 0.0 16.32 MB

Excess Deaths associated with COVID-19

License: Creative Commons Zero v1.0 Universal

Jupyter Notebook 99.83% R 0.17%

excess_deaths's Introduction

Excess Deaths associated with COVID-19

This repository attempts to collect and visualize different data sources for Excess Deaths -- the difference between deaths of all causes in a region and an estimate of Expected Deaths.

CDCs estimates of Excess Deaths for the US

Excess Deaths Associated with COVID-19

By State

and the whole nation

By Age group

Unfortunately the CDC doesn't provide estimates of expected deaths by age groups. We have used the method of Kobak and Karlinsky, 2021 to calculate an estimate in order to calculate excess deaths by age group.

Comparing select states

The notebook us_state_comparison.ipynb shows how the data set can be used to compare mortality of different states.

Kobak & Karlinsky

We borrow our baseline Expeced Deaths calculation from Kobak & Karlinsky using an age dependent linear extrapolation of the 2015โ€“19 trend.

Here is a visualization of their data as Excess Deaths per Million people.

The same data as a proportion of Expected Deaths.

The Economist

The Economist has their own tracker of Excess deaths with a disparate collection of countries.

Here is a comparison of Excess Deaths in Western and Eastern Europe.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.