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Computing Hidden Health Threats from Heat

Scott Delaney’s work blends epidemiology, data science, and policy to guide equitable healthcare and climate resilience strategies.

Delaney uses large-scale data and computing to reveal how extreme heat raises hospitalization risks for vulnerable groups, especially those with Alzheimer’s.

A recent study  used 3.3 million Medicare claims and daily temperature data to explore how extreme heat affects adults with Alzheimer’s disease and related dementias (ADRD). Researchers found that just one day of extreme heat can increase hospitalization risk for up to three additional days, potentially leading to over 5,000 extra hospitalizations nationwide per day of extreme heat. The study highlights how ADRD impairs thermoregulation and decision-making, making affected individuals more vulnerable to heat-related illnesses. This research, powered by large-scale data analysis and computing, underscores the urgent need for climate-resilient public health strategies and targeted support for vulnerable populations as global temperatures rise.

 

Scott Delaney is a Research Scientist in the Department of Environmental Health at the Harvard T.H. Chan School of Public Health.

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Asteroid Data Mining
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Computation + Machine Intelligence | Wu Tsai Institute
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
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Collaborative projects

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OUTREACH & EDUCATION PROJECTS

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