The companion repository to Computational Modeling of Infectious Disease by Chris von Csefalvay
-
Updated
Dec 15, 2022 - Jupyter Notebook
The companion repository to Computational Modeling of Infectious Disease by Chris von Csefalvay
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
epidWaves is a Matlab/Python package to fit multi-wave statistical models to the complex epidemic data.
A tool to estimate Instantaneous Reproduction Number
Estimates of COVID-19 R_t in Real-Time.
Special repository containing the profile directory of JuliaEpi.
Code for the paper: The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout
Special repository hosting the InPhyT website.
An Analysis of Lassa Fever Outbreaks in Nigeria using Machine Learning Models and Shapley Values
An Agent-Based Model used to Simulate Rodent Control Strategies for the Control of Periodic Outbreaks of Lassa Fever in Nigeria
O índice de contágio do COVID-19 regionalizado, por estados, municípios e até bairros, em tempo real, pode apoiar a tomada de decisões do poder público sobre como conter o contágio e como conduzir a retomada da atividade econômica de forma segura.
A Real-Time, Data-Driven Infectious Disease Dashboard and Surveillance Application to Monitor the 2022-2023 Global Mpox Outbreak
Code for the paper: Modeling the interplay between disease spread, behaviors, and disease perception with a data-driven approach
Add a description, image, and links to the computational-epidemiology topic page so that developers can more easily learn about it.
To associate your repository with the computational-epidemiology topic, visit your repo's landing page and select "manage topics."