https://mmahdigh.github.io/covid-risk/

Assess the risk of indoor gatherings, events and parties using Covid Risk Calculator.
https://mmahdigh.github.io/covid-risk/

Last synced: 3 months ago
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Assess the risk of indoor gatherings, events and parties using Covid Risk Calculator.

• Host: GitHub
• URL: https://mmahdigh.github.io/covid-risk/
• Owner: mmahdigh
• Created: 2020-11-25T12:28:04.000Z (almost 4 years ago)
• Default Branch: develop
• Last Pushed: 2022-09-06T08:51:56.000Z (about 2 years ago)
• Last Synced: 2024-05-18T17:51:35.750Z (6 months ago)
• Language: TypeScript
• Homepage:
• Size: 8.84 MB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-coronavirus - COVID-19 Gatherings Risk Assessment Tool - 19 Risk Calculator For Gatherings in Almost 4000 Regions All Over The World. | (Applications)

README

        
# Covid Event Risk Calculator

 THIS TOOL IS NO LONGER MAINTAINED AND UPDATED WITH NEW DATA. 

Available at: https://mmahdigh.github.io/covid-risk/

It's very likely that there's an indoor event or party you don't want to miss 

but you also can't shrug off the possibility of contracting Covid19.

This very small app helps you determine how risky events of different sizes 

are in different regions of the world.

Currently we cover 3700 regions all over the world. We update the data using

JHU CSSE COVID-19 Data (https://github.com/CSSEGISandData/COVID-19) consistently.

# How can you help?

Reporting bugs, opening issues and sending PRs are very welcome.

Currently median age data regarding US counties aren't accurate, every 

county is having the same median age data as the state it's located in.

having people who correct this data and maintain other data would be 

very useful.

# How is the probability calculated?

It's basically a Binomial distribution when we're looking for all the n people not to be infectious.

There are some important premises:

- 40% of cases are asymptomatic.

- symptomatic cases after their incubation period refrain from participating in gatherings.

- cases are infectious up to 12 days after showing symptoms.

- IFR of the US is 0.0065 per CDC report.

- Other regions' IFR are calculated based on the US IFR and their median age. (https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-34-IFR/) 

 I also fully welcome the idea that people with expertise in software development, statistics or epidemiology join this effort to make a more accurate and useful app together. 

# Incoming features

- tiding up the code because it was rapidly developed. (adding linter as a first step)

- add vaccine data and incorporate it in our model 

- better and more user-friendly UX and UI.

- detailed results. (like the probability that there are two (or 3, 4, etc) covid cases in an event)

- writing tests. (primarily for the logic)

- whatever you find interesting!