A comprehensive analysis on the spread of the corona virus worldwide. The statistical analysis shows the spread using interactive charts and figures. The geographical analysis shows the spread of the virus on the geographical map of the majorly affected countries and highlighting the places with highest incidence rate.

WIP : Using Haversine formula and folium maps in python, we aim to create a system to track citizens and send them alerts in a pandemic scenario, like the COVID-19. For this system, we have developed a python script, an android app and a Firebase DB

Application to build COVID-19 live tracker dashboard

Utilization of public data disclosure and data analysis techniques to understand the dynamics of the COVID-19 pandemic in Indonesia.

Covid tracker web application provides an easy access to the live data of COVID -19 cases both globally as well as nationally using a public API. The app not only displays the numeric data of infected, recovered, and death cases but also shows the chart representation which provides easy visibility and comparison.

Data repository for the paper "Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic"

O projeto contém o arquivo "main.c", que é responsável por abrir o arquivo com os parâmetros das equações e fazer os cálculos dos cenários propostos. Na biblioteca "methods.c" é possível encontrar os métodos utilizados para calcular o SRI. Além disso, vale ressaltar que todos os métodos estão anotados no arquivo "methods.h".

📊 Open source scripts for analyzing daily reports from Dutch National Institute for Public Health and the Environment (RIVM) about confirmed COVID-19 cases.

This is an android app to tell the count of Covid-19 cases all across India, district wise.

Прогнозы COVID-19, объяснённые на игровых симуляциях

The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.

This app aims to provide a tool to track global trends in the Covid-19 pandemic

Visualizing the impact if COVID-19 on the countries of EU, Asia and the World using data visualization techniques

Here I have tried to create interactive plots of the covid19 data using Plotly

RU Data Analytics Bootcamp - Project 2, Group Name: "G.S. Analytics"

Visualizing COVID19 outbreak from March 2020, using Python.

Cenários e efeitos da pandemia causada pelo novo coronavírus SARS-CoV-2 no Amazonas: Análise e previsão de séries temporais com a biblioteca Prophet.

Sentiment Analysis of Long-term of Social Data during the COVID-19 Pandemic

Covid-19 Sentimental Analysis of Twitter Dataset using Python and Tweepy Library

This repository contains implementation of some mathematical models to simulate and forecast pandemic outbreaks. It is a project for my programming exam, but I count to keep it updated after the exam is done.