Name: James Azam
Type: User
Company: London School of Hygiene and Tropical Medicine
Bio: Research Software Engineer, working on the Epiverse Initiative at LSHTM. Mostly work with/in R.
Twitter: james_azam
Location: United Kingdom
Blog: https://jamesmbaazam.github.io/
James Azam's Projects
testing version of covidm package
R package for implementing delay functions
Contains my learning material and practice files for data science and machine learning concepts.
Stochastic epidemiological branching simulation
Handling, Visualisation and Analysis of Epidemiological Contacts
A tool to estimate time varying instantaneous reproduction number during epidemics
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
R package with epidemiological parameters for infectious diseases
A dashboard for visualising the epidemiological parameters stored in the epiparameter package.
Functions for model fitting and inference
Code for reconstructing influenza dynamics from surveillance data using evidence synthesis techniques
Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.
🛠️ 🌐 Thematic list of high-quality data science resources
Good first issues for the hpc.social community!
R-package based on Stan to efficiently implement time-dependent transmission and stratification
Code accompanying the manuscript "Combining serological and contact data to derive target immunity levels for achieving and maintaining measles elimination".
Compute and visualise incidence (reworking of the original incidence package)
Personal profile
Personal website
A collection of functions for common data reshaping operations, as well as functions for table and plot generation for R Markdown documents.
An R package to import, clean, and store case data