Research Fellow and Former Research Software Engineer at the London School of Hygiene and Tropical Medicine, UK. Mostly work with/in R.
Repositories
jamesmbaazam/mfiidd_julia
Model fitting and inference for infectious disease dynamics with Julia
jamesmbaazam/polio_related_covariates
jamesmbaazam/measles_immunity_estimation
IDM model for evaluating routine immunity intensification in S. Nigeria (Niket et al, 2025)
jamesmbaazam/jamesmbaazam
Personal profile
jamesmbaazam/dotfiles
Personal dotfile and configuration
jamesmbaazam/jamesmbaazam.github.io
Personal website
jamesmbaazam/orv_modelling_review_epidemics
Mechanistic modelling of outbreak response interventions to human vaccine-preventable diseases: a systematic review of modelling practices before COVID-19
jamesmbaazam/measles_orv_strategies
This repository contains code for a project on assessing various measles outbreak response vaccination strategies. The assessments will be done based on the logistical (cold chain) needs in terms of ice packs, freezing times for ice packs, and passive cold chain requirements for vaccination teams.
jamesmbaazam/CVs_JamesAzam
jamesmbaazam/connect_overdispersion
Estimations of ethnicity-specific overdispersion in CONNECT data and its impact on outbreak dynamics
jamesmbaazam/imd_influenza_model
Influenza transmission in England, stratified by IMD and age
jamesmbaazam/paper-template
jamesmbaazam/resources
jamesmbaazam/benchmarking-forecasting-models
jamesmbaazam/iidda
International Infectious Disease Data Archive
jamesmbaazam/stan-statespace
Stan models for state space time series
jamesmbaazam/statistical_rethinking_rstan_translation
Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
jamesmbaazam/Bayesian-Inference-With-Stan
Materials Supporting Bayesian Inference with Stan
jamesmbaazam/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
jamesmbaazam/covid19-bayesian-modelling
Analyses about the COVID-19 virus
jamesmbaazam/Bayesian-Statistics-Stan-Julia
This repository holds slides and code for a full Bayesian statistics graduate course.
jamesmbaazam/nowcasting_COVID19
Now-casting Japan during the COVID-2019 Pandemic at the beginning of March 2020
jamesmbaazam/RcppRoll
Fast rolling functions through Rcpp
jamesmbaazam/forecast.vocs
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.
jamesmbaazam/mobility
An R package containing functions for parsing mobility data, fitting models using Bayesian inference, and simulating mobility patterns.
jamesmbaazam/donskerclass.github.io
jamesmbaazam/COVID19-generation-interval-estimation
Estimating the generation interval for COVID-19
jamesmbaazam/Modern-CPP-Programming
Modern C++ Programming Course (C++11/14/17/20)
jamesmbaazam/ROS-Examples
Regression and other stories R examples