eRum2020::CovidR
  • About
  • Submit
  • Gallery
    • COVOID: modelling transmission / interventions
    • COVID-19 Data Hub
    • Daily economic indicators
    • Covid_19 Kenya
    • The ten-day coronavirus forecast
    • COVID-19 Bulletin Board Japan
    • 100 k African Hospital and Health Facilities
    • COVID-19 in Belgium: is it over yet?
    • MINT - Monitoring Italian contagion trends
    • The Prime Minister's Speech(es)
    • PangeaCovid19
    • OzCoViz dashboard and the covidrecon package
    • Europe Tracker
    • Fighting misinformation
    • Country-specific Coronavirus Dashboard How-To
    • Covid19-Explorer
    • cRew Symptom Tracker
    • NowCastingCOVID-19
    • Coro2vid-19
    • COVID-19 in India
    • Covid'19 Twitter Analytics
    • Covid-19 in Italy
    • COVID-19 Monitor
    • COVID-19 Canada Data Explorer
    • Covid Shinyline
    • CoronaDash - clustering-analytical tool
    • Coronavirus Tracker
    • Understanding COVID-19 with Excess Deaths
    • COVID-19 Scientific Papers
    • COVID-19 and R blog series
    • Global COVID-19 Dashboard
    • COVID-19 Time-Dependent SIR Model
    • Interactive map of 2019-nCov global distribution
    • Covid19 Data and Perception (CoDaP)
    • Covid19 Shiny App
    • CovidR Example
  • e-Rum2020

Understanding COVID-19 through Italian Excess Deaths Analysis

Understanding COVID-19 through Italian Excess Deaths Analysis

by Alberto Danese [repository]
eRum2020::CovidR

Understanding COVID-19 through Italian Excess Deaths Analysis

Alberto Danese

Why are we expecting to understand COVID-19, when most of the analysis rely on the same biased, unreliable and dull data? Death and cases are counted differently across countries. In Italy, regions and provinces have different capabilities and policies when it comes to testing the population. All this makes drawing conclusions a hard and risky task. Here I suggest an original approach based on overall deaths data from ISTAT, available from 2015 to 2020, done 100% in R. I focus on excess deaths with respect to previous years and answer many questions with a robust quantitative approach. Are men really more hit by COVID-19 than women? Is it true that only the elderly are affected? What really happened in Bergamo and other Italian provinces?

Vote for "Understanding COVID-19 through Italian Excess Deaths Analysis"

Like this contribution to see it presented and awarded at the e-Rum2020 CovidR contest pre-conference event

Include the badge for danese-covid19-understanding

eRum2020::CovidR

Markdown

[![eRum2020::CovidR](https://badgen.net/https/runkit.io/erum2020-covidr/badge/branches/master/danese-covid19-understanding?cache=300)](https://milano-r.github.io/erum2020-covidr-contest/danese-covid19-understanding.html)

HTML

<a href="https://milano-r.github.io/erum2020-covidr-contest/danese-covid19-understanding.html"><img src="https://badgen.net/https/runkit.io/erum2020-covidr/badge/branches/master/danese-covid19-understanding?cache=300" alt="eRum2020::CovidR"/></a>


e-Rum2020 CovidR Contest Created with rmdgallery 0.4.0