Updated: January 20th, 2026
Overview
The Health Attribution Library is a curation of scientific publications conducting end-to-end attribution studies on the health impacts of anthropogenic climate change. End-to-end studies, also called “one-step” studies, use climate models to estimate health impacts with and without human-caused climate change. While these are labor- and computationally intensive study designs, they yield more information about uncertainty along the steps of the analysis 1,2.
The library was created as an initial literature review in 2023, contracted by The Wellcome Trust to Colin Carlson, PhD (Yale University, USA) and Christopher Trisos, PhD (University of Cape Town, South Africa) as part of an expert panel exploring issues in the field of health impact attribution. Their findings were published in Detection & Attribution of Climate Change Impacts on Human Health with The Wellcome Trust in 2024 2.
Their research revealed a significant gap in the field: of nearly 4,000 peer-reviewed studies reviewed, only 13 studies since 2013 rigorously tackled health impact attribution. Most studies focused on direct effects of climate events or failed to evaluate climate-sensitive disease burdens, such as zoonotic, tick-borne, and water-borne diseases, to elucidate climate-attributable health impacts 2.
The library is intended as an ongoing curation of qualifying health attribution research to support scientific research, journalism, public interest work, litigation, and policy negotiations seeking to rigorously answer whether specific health impacts can be attributed to human-caused climate change 2.
Gaining Access
All papers are freely accessible for direct download or online visualization through the platform. Access them by visiting the Database page 3.
Relevant Links
Detection & Attribution of Climate Change Impacts on Human Health Carlson et al. 2024_: Find the article introducing health impact attribution research, including its conceptual framework, scientific goals, current progress, and future research needs 2.
Publications
This section presents a selection of PubMed articles that utilize the dataset and are authored by individuals affiliated with the Yale University. These articles are provided to inspire researchers and students to use the data in their own work.