🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!

Coronavirus (COVID-19) UK Historical Data

Visualisation of official UK COVID-19 data

A realtime API for coronavirus cases on Heroku. Data automatically updated every 10 minutes!

Raw scrapings of ARPEN https://transparencia.registrocivil.org.br/

This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.

CSV files of COVID-19 total daily confirmed cases and deaths in the USA by state and county. All data from Johns Hopkins & NYT..

An API for the spread of covid-19 in Germany. Data from Robert-Koch-Institut.

🦠 Application to track number of coronavirus COVID-19 cases in Kazakhstan.

Project for the Bayesian Statistics exam at University of Trieste

COVID-19 live stats from 209 countries.

COVIDbd provides you with regular & cumulative update along with next day's prediction ofCOVID-19 Bangladesh scenario

API for tracking the global coronavirus (COVID-19, SARS-CoV-2) 🦠 outbreak in Togo. It's written in python using the FastAPI framework 🔥. Supports government source!

Datasets on time-series evolution of COVID19 positive cases, negative tests and deaths in PA, by county.

Parsify plugin, that adds COVID 19-related variables 🦠

Dados de Mortes por COVID-19 no Brasil

Analyzed Covid-19 data from Washington State to understand the relationship between income, poverty, political affiliation, and age with three Covid-19 outcomes: cases, hospitalizations, deaths. Extracted data from the CDC, Census, and usa.com to assemble a dataset of over 50,000 cases. Linear regression, Chi-Square, outlier analysis, and visualizations conducted using Python, Pandas, Plotly, and Matplotlib

A deepnote repository for popular disease and health data to train, predict and empower aspiring data scientists

Simple statistics for COVID-19

Forecasting the spread of COVID-19 epedemic over India Region using ARIMA (p,d,q) model

Modeling the spread of the disease COVID-19

This repository contains a simple (and brief) exploratory data analysis focused on the crisis of the COVID-19 coronavirus pandemic in Spain and its different provinces. The aim is to show the evolution of reported cases, deaths and recoveries using the new daily information of new cases, deaths or recoveries, their cumulative sum and their rate of variation (daily and cumulative). The data are automatically extracted from the official source (epdata.es).

A simple flask based application to track the live and historical COVID-19 cases, deaths, recovered, tests, etc. It also contains features like live graphs, sentiment analysis, news, 7-day predictions and historical data for all affected countries. We have specially made a separate COVID-19 tracker for INDIA with the same features as above.

graph highlighting the percentage of deaths by Covid-19 in the state of paraiba by sex until 2020-07-31.

Modeling-ready COVID19 Cases and Deaths time-series dataset for Chicago, IL

Correspondence to Lancet regarding the article by Santos-Burgoa and colleagues (2018)

This repository provides an analysis and visualization of daily deaths due to Covid-19 using Python and the Plotly library

CORONAVIRUS TRACKER API powered by CSSEGISandData John Hopkins to provide JSON response

Compares cumulated deaths in Spain during the covid period with different baselines