EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
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Updated
Dec 25, 2022 - Jupyter Notebook
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
The companion repository to Computational Modeling of Infectious Disease by Chris von Csefalvay
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
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