Genetic policy optimiser for specific environments using cellular automata
Pandemic Control System: a web and android app solution for governments and citizens to control and overcome pandemics. Features home test kits, immediate doctor assistance, mental health care, and SOS triggering. Provides secure access, user-friendly interface, and both calling and messaging functions.
An interactive dashboard using R and Plotly to visualize and explore COVID-19 data trends and insights
Data repository for the paper "Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic"
This repository studies the pandemic spread on the flight network using network science techniques. It identifies key airports that are critical for controlling the spread of a disease and uses a spreading simulator to illustrate disease spread. The report aims to inform the design of effective intervention strategies for future outbreaks.
COVID-19 Italia - Monitoraggio situazione
Analyzing Twitter Usage During COVID-19: Insights on Emotions and Opinions through LDA, Sentiment, and Emotion Analysis
Simulation to illustrate the way a viral pandemic spreads within a group of people as well as effectivity of different preventative measures
Visualizing the impact if COVID-19 on the countries of EU, Asia and the World using data visualization techniques
A program that generates charts displaying the progression of administered vaccines during the pandemic.
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
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".
Sampled twitter tweets from 11/2022 to 02/2023 to observe post-pandemic sentiment
Unveiling pandemic data. Explore COVID-19 trends and insights through data analysis. Join the journey to better understanding.
Dashboard using R and Plotly to visualize and explore COVID-19 data trends and insights
Spark 💥 COVID-19 🦠 datasets distributed analysis. Uniroma2, SABD 2019/2020, Marco Balletti and Francesco Marino's first project.
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.
Análise exploratória que descreve a evolução da capacidade hospitalar (número de leitos) durante a pandemia de Covid-19 em Goiás
Utilization of public data disclosure and data analysis techniques to understand the dynamics of the COVID-19 pandemic in Indonesia.
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