Food Additive Gut Microbiota
Code for analyzing food additive exposure and its impact on gut microbiota diversity.
Analysis pipeline using non-negative matrix factorization (NMF) to identify additive co-consumption patterns from MyFoodRepo barcode logs and OpenFoodFacts ingredient data, followed by z-score normalization, composite contrast metrics, and BIRDMan differential abundance analysis to assess associations between food additive mixtures and gut microbiota diversity in the "Food & You" digital cohort.
FeaturesMedicalSurvey
- Technical
- Source code: Lab Github
- Last commit: 2026-01-22
The Lab of Digital Epidemiology is concerned with the dynamics of health and disease in human populations.
Research in epidemiology aims to identify the distribution, incidence, and etiology of human diseases to improve the understanding of the causes of diseases and to prevent their spread. Traditionally, epidemiology has been based on data collected by public health agencies through health personnel in hospitals, doctors’ offices, and out in the field. In recent years, however, novel data sources have emerged where data are frequently collected directly from individuals through the digital traces they leave as a consequence of modern communication and an increased use of electronic devices.
Research in epidemiology aims to identify the distribution, incidence, and etiology of human diseases to improve the understanding of the causes of diseases and to prevent their spread. Traditionally, epidemiology has been based on data collected by public health agencies through health personnel in hospitals, doctors’ offices, and out in the field. In recent years, however, novel data sources have emerged where data are frequently collected directly from individuals through the digital traces they leave as a consequence of modern communication and an increased use of electronic devices.
This page was last edited on 2026-03-03.
This page was last edited on 2026-03-03.