Disease Modeling Workshop, UNIMAS
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Updated
Apr 26, 2019 - HTML
Disease Modeling Workshop, UNIMAS
Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Just a Curve Fitting to forecast the number of infections in the next months
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
In this repository we aim to predict the peak of coronavirus cases in Indonesia, and when this pandemic will end. The data is retrieved from https://www.kawalcovid19.id/
Infectious disease models implemented in python
Agent-based visual simulation of infectious diseases with customizable parameters
Python package for infectious disease modelling
The Outbreak Explorer is a web application that facilitates "What if?" inquiry of the COVID-19 outbreak within Leon County, Florida. The app can be extended to include other bounded territories and other infectious diseases. Outbreak Explorer builds on the COVID-19 Scenarios project with a focus on agent-based models.
A prediction of the number of COVID-19 infections during a fully-open (no preventative measures) semester for the University of Virginia using the SEIR model.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
SEEDNet: Satellite Enhanced Epidemic Disease Network
[ARTIGO e PROJETO DE GRADUAÇÃO] - Uso de Modelos Conceituais Baseados em Ontologias para Doenças Infecciosas
An infectious disease modeling study on quantifying the magnitude of infectiousness from asymptomatic cases in Wuhan, China during outbreak of COVID-19.
The focus of this project is to identify factors that cause COVID-19 outbreaks in US nursing home.
Official website @ Github with content including COVID-19.
Herd Immunity Analyses of Bangladesh due to the SERS-CoV-2
The official manual to the epispot package
SIRP agency-based graph model implementation
A Time-Dependent SEIRD Model for Forecasting the COVID-19 Transmission Dynamics
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