ArticleJournal of the American Medical Informatics Association : JAMIA2018
Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2026Article
- Climate change and infectious diseases.Nature medicine · 2026Review
- Toward AI foundation models for epidemics: Promise, challenges, and paths forward.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A century of weekly notifiable disease incidence data by province in Canada.PLOS global public health · 2025Article
- Increasing intensity of enterovirus outbreaks projected with climate change.Nature communications · 2024Article
- A global dataset of publicly available dengue case count data.Scientific data · 2024Article
- Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review.Journal of medical Internet research · 2023Article
- Challenges with organization, discoverability and access in Canadian open health data repositories.The journal of the Canadian Health Libraries Association · 2021Article
- Transient indicators of tipping points in infectious diseases.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Objective: In 2013, we released Project Tycho, an open-access database comprising 3.6 million counts of infectious disease cases and deaths reported for over a century by public health surveillance in the United States. Our objective is to describe how Project Tycho version 1 (v1) data has been used to create new knowledge and technology and to present improvements made in the newly released version 2.0 (v2). Materials and Methods: We analyzed our user database and conducted online searches to analyze the use of Project Tycho v1 data. For v2, we added new US data and dengue data for other countries, and grouped data into 360 datasets, each with a digital object identifier and rich metadata. In addition, we used standard vocabularies to encode data where possible, improving compliance with FAIR (findable, accessible, interoperable, reusable) guiding principles for data management. Results: Since release, 3174 people have registered to use Project Tycho data, leading to 18 new peer-reviewed papers and 27 other creative works, such as conference papers, student theses, and software applications. Project Tycho v2 comprises 5.7 million counts of infectious diseases in the United States and of dengue-related conditions in 98 additional countries. Discussion: Project Tycho v2 contributes to improving FAIR compliance of global health data, but more work is needed to develop community-accepted standard representations for global health data. Conclusion: FAIR principles are a valuable guide for improving the integration and reuse of data in global health to improve disease control and save lives.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.