Sam Abbott's Projects
Sam Abbott's Curriculum Vitae
Data on the 2019 Novel Coronavirus Outbreak (R Package)
Estimating the effect of the 2005 change in BCG policy in England: A retrospective cohort study
Presentation outlining the use of Docker for data analysis
Personal dotfile and configuration
COVID-19 cases forecasts for the ECDC Forecast Hub
Bayesian Modelling in Epidemiology Case Line Lists
An example of how to modify epinowcast to work with fixed reporting schedules.
Abstract for MLGH workshop 2023
Explore, Visualise and Estimate the Global Zoonotic Tuberculosis Burden
Explore and evaluate the mechanisms for missing data in the Enhanced Tuberculosis Surveillance system.
Analysis to explore the association of BCG vaccination and TB outcomes.
A shiny app which allows the exploration of the dynamics of a range of simple infectious disease models
Exploring the feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts
Slides for a Talk introducing Generalised Additive Models and providing signposting
Shiny dashboard for exploratory data analysis of the funding circle loanbook
Using WHO Tuberculosis data to forecast future incidence rates
visualisations and analysis of https://www.fundingcircle.com/uk/ loanbook
Docker container, and notebooks from the GAM workshop at the University of Bristol 26/06/18
An R package for accessing and summarising the World Health Organisation Tuberculosis data.
R code and log data for the h2o tweets twitter bot
An R package containing utility functions to help with using the h2o package in R
Workshop on hhh4 and the endemic-epidemic framework
Collecting nowcasts of the 7-day hospitalization incidence in Germany.
A blog post on getTBinR for the HPRU Evaluation of Interventions blog
Code for the manuscript "Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2"
R package for DAIDD and MMED clinics
International Clinics on Infectious Disease Dynamics and Data (ICI3D) Program