infectious-disease-models
There are 61 repositories under infectious-disease-models topic.
rajeshrinet/pyross
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross
IvanHornung/Pandemic-Simulator
Simulate a pandemic with artificial life objects.
epispot/epispot
A tool for modeling infectious diseases.
CDCgov/PyRenew
Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
seabbs/idmodelr
Infectious disease model library and utilities
gasilva/dataAndModelsCovid19
Python code to analyze data and predict Covid-19 infection
speediedan/covid19
A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.
HopkinsIDD/flepiMoP
The Flexible Epidemic Modeling Pipeline
anjanatiha/Novel-Corona-Virus-Pandemic-Analysis-and-Modeling
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
jandraor/SDR_Bayes
System Dynamics Review (2021)
fannybergstrom/nowcasting_covid19
Bayesian Nowcasting with application to COVID-19 fatalities in Sweden
toniesteves/covid19-chest-x-ray-detection
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
waleedalmutiry/EpiILMCT
Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
fudab/fudab.github.io
Official website @ Github with content including COVID-19.
IqbalLx/Coronavirus-in-Indonesia-Analysis
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/
IQTLabs/Viziflu
An open-source visualization tool to help make multi-model seasonal influenza forecasts more actionable for decision-makers
Taarak9/Time-dependent-SEIRD-Model
A Time-Dependent SEIRD Model for Forecasting the COVID-19 Transmission Dynamics
epiforecasts/idbrms
Population-level infectious disease modelling as an extension of brms.
JuliaEpi/.github
Special repository containing the profile directory of JuliaEpi.
Ethan-CS/Agency
SIRP agency-based graph model implementation
harirakul/Simulating-Infectious-Diseases
Agent-based visual simulation of infectious diseases with customizable parameters
Holin-Chen/COVID-19-asymptomatic-infectiousness-in-Wuhan-China
An infectious disease modeling study on quantifying the magnitude of infectiousness from asymptomatic cases in Wuhan, China during outbreak of COVID-19.
Scama99/COVID-19
COVID-19 forecasting and modeling with differential equations.
ahmedh409/COVID-19
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.
Jeremy-D-Harris/Asymptomatic_Transmission_COVID
Asymptomatic transmission of COVID-19: differences in time-scales and reproduction numbers, and potential correlations between disease and transmission
KorkinLab/infection-dynamics
Modeling of infection dynamics with intelligent agents and geographical information.
MacdonaldJoshuaCaleb/FMDV-Fitting-Bootstrap
Citeable version is archived on Zenodo
MetinBaki/predict_us-ltcf-covid-19
The focus of this project is to identify factors that cause COVID-19 outbreaks in US nursing home.
nathangeffen/ziggie
Python package for infectious disease modelling
sepmein/cengceng
Infectious disease models implemented in python
ZEROXMU/Flu_vac_model_mc_2024
The mathematical modeling of the optimal strategy for influenza vaccination was studied using a transmission dynamics model that considered population movement, province, and age group
fannybergstrom/ESPIDAM_stochastic_epidemic_models
Exercise for ESIPDAM course Stochastic epidemic models with inference
MI2YorkU/Rnaught
An R package and web application for estimating the basic reproduction number (R0) of infectious diseases.
RTIInternational/SyntheticPopulations
2010 U.S. Synthetic Population Ver. 1
NassimAyad87/EpiSimR
EpiSimR is an R Shiny application designed for simulating the dynamics of epidemic and endemic disease spread. It utilizes deterministic compartmental mathematical models to provide interactive visualizations and insights into disease transmission and control strategies.
oswaldogressani/Serial_interval
The serial interval of an infectious disease is the time between illness onset in an infector-infectee pair. This repository contains routines to estimate features of the serial interval based on transmission pair data. The approach is entirely data-driven and relies on a resampling technique (bootstrap).