The purpose of this fork is to provide visualizations for the trajectory of COVID-19 growth at a global scale. It plots a global trajectory as well as a trajectory for each of the continents.
"The Earth is but one country and mankind its citizens" ~~ Baha'u'llah
The division of locations/countries into continents is based on the [CIA World Facebook]( https://www.cia.gov/library/publications/the-world-factbook/geos/xx.h tml). In cases where countries belong to two continents, they are double-counted. For example, both the 'Europe' and the 'Asia' trajectories include the data for Russia and Turkey (among others). I'm open to other suggestions as well.
The names of the "countries" are based on those of the original codebase -- they are not mine. In all cases I have avoid introducing any changes to names to avoid any suggestion of partiality toward any kind of regional or territorial dispute. Any changes should be suggested to the upstream project.
This is an interactive graph / animation that charts the trajectory of global COVID-19 cases.
The graph plots the number of new confirmed cases in the past week, versus the total number of confirmed cases.
When plotted in this way, exponential growth is displayed as a straight line.
Notice that most countries follow a similar straight line path, indicating that the growth rate is similar across countries. We're all in this together.
Tips: Press Space (or the play button) to Play/Pause. Press +/- keys (or the slider) to see daily changes. Hover over the graph for more info. Drag cursor to zoom into graph, double-click to zoom back out. Use dropdown menus to switch between Confirmed Cases ↔ Deaths, between regions, or between a logarithmic ↔ linear scale. And don't forget to wash your hands!
This interactive pulls data on COVID-19 provided by Johns Hopkins CSSE and NYTimes. Huge thanks to them for making this invaluable data source publicly available.
Created by Aatish Bhatia in collaboration with Henry Reich.
Created using Plotly.js and Vue.js
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Special thanks to Ritwick Ghosh, Nicky Case, Shekhar Bhatia, and Igor Kholopov for their very helpful feedback & suggestions!
If you would like to participate or contribute, please read our Contributor's Guide and Code of Conduct.
Code in this repository which is not otherwise licensed is licensed under the MIT License; see LICENSE.txt for complete text.
This repository pulls data from 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE and New York Times Coronavirus (Covid-19) Data in the United States. Please consult these repositories for terms of use on the data.