Modelling epidemic curve with SIRD model.
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Updated
Oct 15, 2020 - Python
Modelling epidemic curve with SIRD model.
Fitting a stochastic individual based model for arboviral disease.
Epidemiological modeling in StochSS
YouTube Video Viralization Tool: a mathematical tool to optimize efforts of making viral youtube videos.
The official manual to the epispot package
This repository contains the code for the paper "Infection Rate Models for COVID-19: Model Risk and Public Health News Sentiment Exposure Adjustments", by Ioannis Chalkiadakis, Kevin Hongxuan Yan, Gareth W. Peters, Pavel V. Shevchenko.
A simple UI to easily build and run custom epidemic models.
DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
📈 Examination of the impact of COVID-19 spread by using a custom epidemiological model.
Final project for the course "Modelli Matematici per la Biomedicina" at Politecnico di Torino, academic year 2020/2021
Undergraduate Course Work from Public Health 490KR Epidemiologic Data Management & Analysis, Taught by Professor Katherine W. Reeves, PhD, MPH
Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.
Forecast COVID 19 trend for three regions in Italy.
Code for the paper "Modelling the SARS-CoV-2 epidemic in Croatia: a comparison of three analytic approaches"
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
We are the AI-Epidemiology Modeling group at UCF. Our work is focused on the efficient integration of deep learning and epidemiological modeling. The website is under construction and will be ready soon.
The companion repository to Computational Modeling of Infectious Disease by Chris von Csefalvay
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python
A Random Forest model for predicting incidence of potato blackleg at the landscape-scale.
Tutorials on math epidemiology and epidemiology informed deep learning methods
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