elfman / covid_dashboard

COVID-19 Graph - Knowledge Dashboard

Home Page:https://covid-dashboard.aminer.cn

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Language

中文

Introduction

COVID-19 Graph - Knowledge Dashboard is a knowledge-based global COVID-19 epidemic risk prediction and work resumption decision-making system, which provides quantitative assessment and forecasts of epidemic development and risk status around the world based on knowledge-driven, global epidemic statistics and prediction models; traces The latest epidemic progress in all aspects, including scientific research, government dynamics and public opinion, etc .; provides auxiliary decision support for all aspects of recovering in areas, institutions and individuals, including regional epidemic risk assessment and government policy recommendations , Self-assessment of personal physical and mental health, etc.

Main modules:

    Risk index: We aggregate multiple dimensions of data to conduct a comprehensive assessment of the regional risk index. Algorithm description
    Epidemic forcast: Epidemic data projections for major epidemic countries and regions in the world.
    Events timeline: Timeline of Covid-19 outbreak events.
    Knowledge graph: COVID-19 KG and XLink.

Online system

https://covid-dashboard.aminer.cn

Snapshot

Build

Install dependencies

yarn

Debug

yarn start

Build

yarn build 

API

API.md

Join us

You are very welcome to join us, Submit an Issue or submit a Pull Request.
This project follows the Contributor Convenant. You can also enter our developer WeChat group to participate in our discussions.
WeChat QRCode:

Data source

Epidemic data

WHO Covid situation reports
ncov2019.live
ncov.dxy.cn
163.com
coronavirus.jhu.edu
Bing

Scholar

The Lancet
Science
Nature
JAMA Network
bioRxiv
medRxiv
ChemRxiv
scienceDirect
中科院COVID-19科研动态监测
arXiv
SCI666
科学网

News

WHO Rolling updates on coronavirus disease
xinhuanet.com
Worldometers
记疫-南都传媒

Contributors

https://covid-dashboard.aminer.cn/contributors

About

COVID-19 Graph - Knowledge Dashboard

https://covid-dashboard.aminer.cn

License:MIT License


Languages

Language:TypeScript 58.9%Language:CSS 20.5%Language:JavaScript 19.2%Language:HTML 0.8%Language:Python 0.5%