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seroanalytics/serojump
The serojump package provides tools for fitting serological models to antibody kinetics data using reversible-jump Markov Chain Monte Carlo (RJ-MCMC). It enables researchers to model the dynamics of antibody levels in response to infections, incorporating both observational and antibody kinetics models. The package supports the inclusion of priors and various exposure scenarios, making it highly flexible for serological data analysis
ShayAdams/randomisation_code_rcts
Stata code to perform i) restricted randomisation in a cluster-randomized controlled trial and ii) check for bias in final randomisation scheme
Dataset for the article: Self-reported COVID-19 severity among persons with tuberculosis infection in western Kenya, 2021
Dataset for the article: "Self-reported COVID-19 severity among persons with tuberculosis infection in western Kenya, 2021"
Data and R code to accompany 'Compound and cascading effects of climatic extremes on dengue outbreak risk in the Caribbean: an impact-based modelling framework with long-lag and short-lag interactions'
Data and R code to support Fletcher et al. (2025) Compound and cascading effects of climatic extremes on dengue outbreak risk in the Caribbean: an impact-based modelling framework with long-lag and short-lag interactions. The Lancet Planetary Health
Genomic and functional analysis of rmp locus variants in Klebsiella pneumoniae
Supporting files for the publication, "Genomic and functional analysis of rmp locus variants in Klebsiella pneumoniae". It includes a dataset containing strain information and Kleborate genotyping output for genomes included in the study, a list of primers used in the study, and a description of truncated allelic variants of rmpA, rmpD and rmpC
Rapid Assessment of Avoidable Blindness Report: India, Uttar Pradesh, Shahjahanpur & Kheri (2022)
A report including output of standardised analysis of vision and eye health survey data including tables of vision impairment prevalence and service coverage estimates
epinowcast/epidist
Data and code to estimate epidemiological delay distributions with brms
An individual-based modelling study estimating the impact of maternity service delivery on health in Malawi - Code and data repository
This is a release of the Thanzi La Onse model (https://www.tlomodel.org/) code specifically for the analysis conducted in the paper "An individual-based modelling study estimating the impact of maternity service delivery on health in Malawi". In addition, the unprocessed logfiles for the analysis conducted in this paper are available here
ShayAdams/student_metrics_moodlelshtm
Latest version of Stata code to prepare and create a list of report metrics on student engagement with Moodle pages (LSHTM MSc programmes)
Source data for the figures in Carr et al. (2025)
Calculation of annual greenhouse gas emissions per capita and shopping volumes by food group and year from household purchasing data