Infectious Disease Sequencing Platform
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Updated
Jul 18, 2024 - TypeScript
Infectious Disease Sequencing Platform
The most popular open source electronic health records and medical practice management solution.
Vue.js based frontend for ODK Central
The core library that many of the ODK tools are built around. It's written in Java, implements the ODK XForms spec, and runs on mobile devices and cloud servers. ✨🏗✨
ODK Collect is an Android app for filling out forms. It's been used to collect billions of data points in challenging environments around the world. Contribute and make the world a better place! ✨📋✨
Mycobacterial pipeline
Analysis code for the working paper, "The economic value associated with avoidable mortality," commissioned by the World Bank's Healthy Longevity Initiative and a shortened journal article version, "The economic value of reducing mortality due to non-communicable diseases and injury", forthcoming in Nature Medicine.
Offline First Android software client for CommCare, the world's largest platform for designing, managing, and deploying robust mobile applications to frontline workers worldwide
The XForms-derived specification used in the ODK ecosystem. If you are interested in building a tool that is compliant with the forms rendered by ODK tools, this is the place to start. ✨⚒✨
Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins
Artemis is a free genome viewer and annotation tool that allows visualization of sequence features and the results of analyses within the context of the sequence, and its six-frame translation
GeoPrism Registry is a system for curating interlinked data through time. It's the first framework implementing the Common Geo-Registry specification.
OpenLMIS v3+ Reference Distribution. Last mile health commodity information system.
A tool to circularize genome assemblies
My R machine learning 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in United Kingdom, London.
This project explores the potential relationship between continental eating habits and diabetes mortality rates worldwide. Utilizing data scraped from three web sources, I conducted a detailed analysis that includes visualizing dietary patterns, correlating average caloric intake by continent, and examining diabetes-related death statistics.
This site acts as an online CV and a collection of global health tools and resources.
Data Visual Interpretation from reports on malaria-related deaths in Africa 2000-2014
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