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.

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

epidWaves is a Matlab/Python package to fit multi-wave statistical models to the complex epidemic data.

Special repository hosting the InPhyT website.

An Analysis of Lassa Fever Outbreaks in Nigeria using Machine Learning Models and Shapley Values

epydemix, the ABC of epidemics

Code, text, figures, etc. for reproducing my dissertation proposal, "Impact of Host and Vaccine Characteristics on Immune Responses following Influenza Vaccination".

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

HFMD simulation

Code for the paper: Modeling the interplay between disease spread, behaviors, and disease perception with a data-driven approach