There are 0 repository under pandemic-analysis topic.
Cenários e efeitos da pandemia causada pelo novo coronavírus SARS-CoV-2 no Amazonas: Análise e previsão de séries temporais com a biblioteca Prophet.
A JS library implementing the SIR epidemic simulation model.
The Most Efficient Way to Design AI
The present project aims to analyze the behavior of Brazilian workers, who are working from home during the COVID-19 pandemic, using data science strategies. With this, it will be possible to identify the impact of the pandemic and gives a profile that have been shaped from the pandemic scenario in Brazil.
Covid19 Tracking Project
Dashboards and data visualizations using Tableau to understand the impact of the pandemic for a New York-based bike-hire service, Citi Bike, based in New York City.
This app aims to provide a tool to track global trends in the Covid-19 pandemic
COVPOL: An agent-based model of the international COVID-19 policy response
Analysis tool for the COVID19 pandemic in Spain
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 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.
Experiments with open data & dataviz about the monkeypox pandemic
Прогнозы COVID-19, объяснённые на игровых симуляциях
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.
Visualize the rise of COVID-19 cases globally with ggplot2 package of R.
📊 Open source scripts for analyzing daily reports from Dutch National Institute for Public Health and the Environment (RIVM) about confirmed COVID-19 cases.
Heatmap showing the number of deaths month to month since the beginning of the pandemic.
The Jobs for Youth in Africa Initiative of the African Development Bank is organizing the #AfricaVsVirus Challenge to create tech and non-tech solutions to some of the most pressing challenges posed by the novel coronavirus pandemic. We are calling on socially committed citizens worldwide, problem solvers, creative minds, health experts, programmers, graphic and web designers to come together in a 72-hour collaborative digital process. Following the #AfricaVsVirus Challenge, the best solutions will be selected and will be fully implemented with partners and donors in Africa and worldwide.
Here I have tried to create interactive plots of the covid19 data using Plotly
Here is a Analysis of the Covid-19 Pandemic Deaths From the year 2020 - 2023 and the sql code with proper function.
RU Data Analytics Bootcamp - Project 2, Group Name: "G.S. Analytics"
Python web application to display COVID19 cases on the University of South Florida Campuses.
AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.
Covid-19 Sentimental Analysis of Twitter Dataset using Python and Tweepy Library
Application to build COVID-19 live tracker dashboard
PyRevit Extension program that integrates a BIM model and sensors in order to gather hospital beds occupancy data.
Analyzing Twitter Usage During COVID-19: Insights on Emotions and Opinions through LDA, Sentiment, and Emotion Analysis
Unveiling pandemic data. Explore COVID-19 trends and insights through data analysis. Join the journey to better understanding.
Sampled twitter tweets from 11/2022 to 02/2023 to observe post-pandemic sentiment
Analysis of the impact of pandemic on Dublin Bikes and how the usage changed during post-pandemic period.
Dashboard using R and Plotly to visualize and explore COVID-19 data trends and insights
Supplementary materials for a data visualisation tutorial video.
An interactive dashboard using R and Plotly to visualize and explore COVID-19 data trends and insights