infectious-disease-models
There are 60 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.
seabbs/idmodelr
Infectious disease model library and utilities
CDCgov/PyRenew
Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
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.
gasilva/dataAndModelsCovid19
Python code to analyze data and predict Covid-19 infection
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
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
KorkinLab/infection-dynamics
Modeling of infection dynamics with intelligent agents and geographical information.
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
jamesmbaazam/epiparameterDashboard
A dashboard for visualising the epidemiological parameters stored in the epiparameter package.
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).