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129 search results found

Official repo to paper

Shakespeare Method ⭐ 6

The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.

Freqtables ⭐ 6

Quickly make tables of descriptive statistics (i.e., counts, percentages, confidence intervals) for categorical variables. This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.

a python driver for epidemic modeling and inference

Covid19 Webinar ⭐ 6

A Tutorial on Modelling Number of Infected Cases in Turkey of COVID-19 Using Machine Learning & AI

Sir_on_gnutella ⭐ 6

Simulation of a SIR Epidemic process on the Gnutella p2p network on Python

Covid Agent Based Model ⭐ 6

Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.

Epidemior ⭐ 6

Epidemiologia de Doenças de Plantas Aplicada com R

R0_uncertainty ⭐ 6

Some remarks on prior modelling for the basic reproductive number in the Susceptible-Infected-Recovered (SIR) epidemic model

Covidhunter ⭐ 6

COVIDHunter 🦠🚧: An accurate and flexible COVID-19 outbreak simulation model that forecasts the strength of future mitigation measures and the numbers of cases, hospitalizations, and deaths for a given day, while considering the potential effect of environmental conditions. Described by Alser et al. (preliminary version at https://arxiv.org/abs/2102.03667 and https://doi.org/10.1101/2021.02.06.21251265).

Tmleworkshop ⭐ 6

Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.

Bcepirate ⭐ 6

Tools for Standardized Rates in Population Health Surveillance and Epidemiology

[AAMAS 2023] Differentiable Agent-based Epidemiology

Methods for simulating and analysing the sizes and lengths of chains from branching process models

Godata R Reports ⭐ 6

R scripts connected to Go.Data API

Vaccineff ⭐ 6

R package with tools for estimating vaccine effectiveness and vaccine related metrics

Covid19 Epidemiology Ontology ⭐ 5

Epidemiology and monitoring ontology for COVID-19

Pops Core ⭐ 5

PoPS Core: C++ library for the Pest or Pathogen Spread Model

Incidence Estimation Tools

Microbetrace ⭐ 5

The Visualization Multitool for Molecular Epidemiology and Bioinformatics

Contactdata ⭐ 5

R package with social contact data for 177 regions (Prem et al. 2017; Prem et al. 2021)

PhD thesis submitted to the University of Bristol. Title: Modelling BCG vaccination in the UK: What is the impact of changing policy?

Hte Prediction Rcts ⭐ 5

Predicting treatment effects from RCTs (Circulation: CQO 2019).

Epidemiology Tools ⭐ 5

A list of tools to assist with epidemiology research

Epi Collect ⭐ 5

🌏🌎🌍 Liberate Google Takeout location data for epidemiological research and local contact tracing https://epi-collect.org

Practical R For Epidemiologists ⭐ 5

Practical R for Epidemiologists

An R package for importing epi data into R.

Ccc Solutions ⭐ 5

Some solutions to problems for the Canadian Computing Challenge in Java, Python, and C++.

A toolset for analyzing and creating epidemiological models.

101-129 of 129 search results

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