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covid19-age-related-causal-effects's Introduction

Covid19-age-related-causal-effects

This repository contains:

  • age-stratified Covid-19 case and fatality data for different countries and at different points in time, and
  • an interactive Jupyter notebook for mediation analysis of age-related causal effects on case fatality rates,

published as part of the following paper:

"Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects". J von Kügelgen*, L Gresele*, B Schölkopf. (*equal contribution). https://arxiv.org/abs/2005.07180

We provide the following three separate datasets:

  • a dataset containing only the most recent numbers from: Argentina, China, Colombia, Italy, Netherlands, Portugal, South Africa, Spain, Sweden, Switzerland, South Korea and the Diamond Princess cruise ship (last checked: end of May 2020)
  • a longitudinal dataset containing several reports from Italy (9 March - 26 May 2020)
  • a longitudinal dataset containing several reports from Spain (22 March - 29 May 2020)

All numbers of confirmed cases and fatalities are stratified by age into groups of 10 years (0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+), and contain the date and country of reporting, as well as links to the corresponding sources (generally health agenices/ministries, or scientific publications).

Please consult the paper and notebook for further details.

If you know of suitable data that could help expand the datasets curated here, or if you have any questions, feel free to reach out to us via email:

{jvk, luigi.gresele, bs} [at] tuebingen [dot] mpg [dot] de

We are actively looking for further age-stratified data from other countries and will happily acknowledge your contributions here.

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