ArticleBMC proceedings2025
Bridging climate and health data for decision making.
Article in BMC proceedings, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change is increasingly recognised as a public health crisis, with extreme weather events intensifying the risk of climate-sensitive diseases and placing additional strain on already vulnerable health systems. Integrating climate and health data is critical to anticipating these risks and strengthening public health preparedness and response. This report presents outcomes from the 9th session of the WHO Pandemic and Epidemic Intelligence Innovation Forum, co-hosted with Data.org, which convened experts from academia, public health, and civil society to explore barriers and solutions to integrating climate and health data for decision-making. Participants from institutions including Data.org, the University of Cape Town's Climate System Analysis Group, New York University, Pontificia Universidad Javeriana, and SilverLining shared insights on the use of downscaled climate models, cloud-based infrastructures, and cross-sectoral collaboration.Key themes included the need to move from a data-first to a decision-first approach; democratise access to high-resolution climate data; address inequities in funding and analytical capacity, particularly in the Global South; and foster interdisciplinary communities of practice. Challenges such as incompatible data structures, limited local capacity, and inequitable access to computational resources were addressed through innovative examples such as cloud-based climate stacks, integrated forecasting tools, and capacity-building hubs. Moving forward, the forum emphasised strengthening technical infrastructure, data interoperability, and local empowerment as essential to bridging climate and health disciplines and ensuring equitable, data-driven public health responses in a warming world.
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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.