https://github.com/alexriss/sars-cov-2-analysis

Coronavirus visualization: relative daily changes, case fatality rates, etc.
https://github.com/alexriss/sars-cov-2-analysis

coronavirus descriptive-statistics sars-cov-2 visualization

Last synced: 4 months ago
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Coronavirus visualization: relative daily changes, case fatality rates, etc.

• Host: GitHub
• URL: https://github.com/alexriss/sars-cov-2-analysis
• Owner: alexriss
• License: gpl-3.0
• Created: 2020-04-01T13:35:36.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-01-06T13:44:53.000Z (over 3 years ago)
• Last Synced: 2025-02-05T09:48:42.865Z (5 months ago)
• Topics: coronavirus, descriptive-statistics, sars-cov-2, visualization
• Language: Vue
• Homepage: https://alexriss.github.io/SARS-CoV-2-Analysis/
• Size: 16.9 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# SARS-CoV-2 Analysis

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

## Description

A quick analysis of coronavirus figures, in particular relative increases in confirmed changes, trendlines,

as well as relative CFR ratios (very crudly approximated by a simple division of confirmed cases by deceased cases).

## Why another one?

__We need relative numbers!__ All countries have different testing capacities and often also different rules as what counts as confirmed case or coronavirus-related fatality. Thus, relative ration and relative increases in numbers can be more informative.

I haven't seen calculations and simple visualizations of relative numbers. That is why I did this quick weekend project.

This is my first [vue.js](https://vuejs.org/) project, so it might not be done completely optimally.

## OK, I am convinced, let me see it!

Sure, no problem. Here you go: [Live version](https://alexriss.github.io/SARS-CoV-2-Analysis/)

## Obligatory screenshots

Table view giving numbers, relative numbers, reproduction numbers and sparklines:

![screenshot of overview](screenshot.png)

Detailed view for each country:

![screenshot of detail view](screenshot_detail.png)

## Is it beta?

Of course! Even rather alpha. It is a weekend project and I just work on this in my free time. Please double check all numbers and graphs.

## Data source

The data is from the [COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University](https://github.com/CSSEGISandData/COVID-19) and [Johns Hopkins University vaccine data](https://github.com/govex/COVID-19/tree/master/data_tables/vaccine_data/global_data) and [UNdata](http://data.un.org/). For the calculation of the reproduction source I followed the method of [AGES Austria](https://www.ages.at/en/wissen-aktuell/publikationen/epidemiologische-parameter-des-covid19-ausbruchs-oesterreich-2020/), which is similar to the method presented in the [R-Package EpiEstim](https://cran.r-project.org/package=EpiEstim) and described in [Am J Epidemiol 178, 1505–1512 (2013)](https://doi.org/10.1093/aje/kwt133).

## Todo

* parse US states

* improve mobile experience

* probably: use ECharts for sparklines (instead of charts.js)

* improve tooltip position for sparklines, probably static position will be best

* calculate the CFR based on confirmed cases n days ago (controlled via slider)

* save settings locally (vue.js localStorage)