Topic: deaths Goto Github
Some thing interesting about deaths
Some thing interesting about deaths
deaths,COVIDbd provides you with regular & cumulative update along with next day's prediction ofCOVID-19 Bangladesh scenario
User: abd-shoumik
Home Page: https://bdcovid.herokuapp.com/
deaths,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.
User: abhijitshow07
deaths,COVID-19 live stats from 209 countries.
User: abhishekpatel946
Home Page: https://codesandbox.io/s/optimistic-glade-0m29q
deaths,Script which generate daily tweets with the new COVID-19 cases, deaths and vaccinations in Spain grouped by region
User: aitormagan
Home Page: https://home.aitormagan.es/d/HukfaHZgk/covid19?orgId=1
deaths,Data, calculations and text relating to my book, Ageless: The new science of getting older without getting old
User: ajsteele
Home Page: https://andrewsteele.co.uk/ageless/
deaths,Correspondence to Lancet regarding the article by Santos-Burgoa and colleagues (2018)
User: alexisrsantos
Home Page: https://alexisrsantos.github.io/Correspondence_Lancet/
deaths,COVID-19 Dashboard for Germany powered by RKI data.
User: beyerleinf
Home Page: https://covid.beyerleinf.de
deaths,Calculating and reformatting National Records of Scotland weekly deaths data for all available age categories
User: bk75r
deaths,Um projeto da Byju's Future School, feito por mim, em homenagem a Copa do Mundo 2022.
User: creeeepe
deaths,A Pokemon Utility Bot For All Your Battling Needs
User: danielzhang2001
deaths,Aggregated statewide COVID-19 probable and confirmed cases counts and demographics released daily by the Michigan Department of Health & Human Services
User: dmorl
Home Page: https://scholarworks.wmich.edu/michigan-covid-data-state-cumulative/
deaths,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!
User: egbakou
Home Page: https://coronavirus-tg-api.herokuapp.com/
deaths,This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.
User: eladcn
deaths,An interactive web site allowing users to visualize county level covid-19 and demographic data throughout the state of Texas, including a variety of machine learning models and projections.
User: ellenrud84
Home Page: https://covid19-texas-ml.herokuapp.com/
deaths,Visualisation of official UK COVID-19 data
User: emmadoughty
deaths,🦠 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!
User: expdev07
Home Page: https://coronavirus-tracker-api.herokuapp.com
deaths,
User: genaescobar
Home Page: https://steamcommunity.com/id/genaescobar
deaths,🤖 GermanyCovid Bot - Your reliable and daily data on the pandemic in Germany.
Organization: germanycovid
Home Page: https://www.germanycovid.de/discord
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..
User: jeffcore
deaths,Explore mortality rates in Canada in Shiny app
User: jlomako
Home Page: https://jlomako.shinyapps.io/mortality-canada/
deaths,The goal of this project is to analyze the data available from Spotify to answer questions about Spotify Audio Features by song year, correlation between Audio Features and country metrics, and the Spotify Audio Features by song year. Technologies to be used are Python, Jupyter Notebooks, Pandas, Requests, and Matplotlib. Optionally, the Spotify API can be used but will match the Kaggle Data
User: joekell
deaths,tool for visualizing covid19 data
User: josephbisso
deaths,Simple statistics for COVID-19
User: kharianne
deaths,COVID19 Data Analysis, Visualizations and Predictions using 2019-nCoV Data Repository by Johns Hopkins CSSE.
User: loicboyer
deaths,An estimate of how many more people died in 2020 than would have been normal based on historical mortality.
User: luciferous
Home Page: https://lcfrs.org/deaths/
deaths,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).
User: luismateos92
Home Page: https://coronavirus-spain.herokuapp.com/
deaths,🦠🇩🇪📈 An API for the spread of covid-19 in Germany. Data from Robert-Koch-Institut.
User: marlon360
Home Page: https://api.corona-zahlen.org/
deaths,Datasets on time-series evolution of COVID19 positive cases, negative tests and deaths in PA, by county.
User: menonpg
Home Page: http://www.quant.md/index.html
deaths,Project that uses Random Forest Regression to forecast the number of COVID-19 infections and deaths in the Southeastern United States
User: michael-morton
deaths,Projects on the topic of COVID-19 hospitalisations - mostly DataViz
User: mike-honey
deaths,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
User: mocchicone
deaths,A realtime API for coronavirus cases on Heroku. Data automatically updated every 10 minutes!
User: omaroid
Home Page: https://covid19api.herokuapp.com/
deaths,🦠 Application to track number of coronavirus COVID-19 cases in Kazakhstan.
User: onl1ner
deaths,Built in May 2020. The client application's role is to contain the UI and display it to the user. World-covid-19-data is an application to display data of cases, deaths, and recovers for each country and are known in the world, from the 8 different APIs. The client built in React, and always updated with the latest version of create-react-app (currently 4.0.3) (https://github.com/facebook/create-react-app).
User: orassayag
Home Page: https://world-covid-19-data.herokuapp.com/
deaths,A deepnote repository for popular disease and health data to train, predict and empower aspiring data scientists
User: ramene
deaths,Compares cumulated deaths in Spain during the covid period with different baselines
User: rigonz
deaths,Im Datensatz 'COVID-19-Todesfälle in Deutschland' werden die Todesfälle in Bezug auf COVID-19 in Deutschland bereitgestellt. Darüber hinaus wird neben der Anzahl der übermittelten Todesfälle der Fall-Verstorbenen-Anteil berechnet. Angaben zum Tod zählen zu den melde- und übermittlungspflichtigen Inhalten. Bei der Ermittlung von Todesfällen und...
Organization: robert-koch-institut
Home Page: https://robert-koch-institut.github.io/COVID-19-Todesfaelle_in_Deutschland/
deaths,This repository provides an analysis and visualization of daily deaths due to Covid-19 using Python and the Plotly library
User: samuelterra22
deaths,Forecasting the spread of COVID-19 epedemic over India Region using ARIMA (p,d,q) model
User: siddarthamanepalli
deaths,A nlogistic-sigmoid playground for modelling the COVID-19 pandemic growth
User: somefunagba
deaths,US infant mortality data, by race, from 1915 to 2013, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
deaths,Project for the Bayesian Statistics exam at University of Trieste
User: stinco
deaths,Developing patient survival prediction model is important in clinical research. As different levels of data may all contribute to patients’ survival, the prediction model using multiple omics data could achieve better performance.
User: suwarna93
deaths,Coronavirus (COVID-19) UK Historical Data
User: tomwhite
Home Page: http://tom-e-white.com/covid-19-uk-data/
deaths,Modeling the spread of the disease COVID-19
User: vincentstimper
deaths,Parsify plugin, that adds COVID 19-related variables 🦠
User: xxczaki
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