Heat alerts and information-seeking behavior: evidence from heat-related internet searches in the United States

Abstract Extreme heat is a growing public health threat. In the United States (US), the National Weather Service (NWS) issues alerts ahead of forecast periods of extreme heat. However, the behavioral impact of official heat alerts remains poorly understood at actionable scales, and their real-world effectiveness has been difficult to quantify. We used anonymized, county-level Google search data on the proportion of searches classified into eight heat-associated categories, aggregated daily across 2581 US counties from May to September 2023. We implemented a time-stratified case-crossover method using conditional Poisson models to quantify the association between the proportion of heat-related internet searches and (a) daily maximum temperature and (b) NWS heat alerts, adjusting for same-day county-specific temperature percentiles. We further evaluated how associations varied spatially and temporally within the season. Across all counties, searches for heat stroke/exhaustion were 3.60 (95% CI, 3.38–3.85) times higher when comparing the 95th percentile of daily maximum temperatures to the 1st percentile. Air-conditioning searches were 2.47 (2.43–2.51) times higher. Exposure–response curves rose steeply above the 80th percentile except for public swimming and cooling center queries. On heat alert days, heat-related searches were 1.27 (1.26, 1.28) times higher relative to matched non-alert days. Results varied by region. However, effect modification was pronounced: early-summer alerts (May–June) elicited stronger responses than late-summer alerts (July–September) in all heat-related search categories except cooling centers. Our findings suggest that heat alerts trigger meaningful, real-time behavioral responses during heatwaves, particularly in early summer and historically cooler regions. High-resolution internet search data offer a promising tool for evaluating public engagement with risk communication and can provide local officials guidance for further optimizing messaging strategies.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2025-07-24
DOI
https://doi.org/10.1088/1748-9326/adf3cf
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heat alerts and information-seeking behavior: evidence from heat-related internet searches in the United States

Chad Milando, Quinn H. Adams, Gregory A. Wellenius
Environmental Research Letters
Digital Marketing and Social Media
article

Heat alerts and information-seeking behavior: evidence from heat-related internet searches in the United States

Chad Milando, Quinn H. Adams, Gregory A. Wellenius
article en

Abstract

Abstract Extreme heat is a growing public health threat. In the United States (US), the National Weather Service (NWS) issues alerts ahead of forecast periods of extreme heat. However, the behavioral impact of official heat alerts remains poorly understood at actionable scales, and their real-world effectiveness has been difficult to quantify. We used anonymized, county-level Google search data on the proportion of searches classified into eight heat-associated categories, aggregated daily across 2581 US counties from May to September 2023. We implemented a time-stratified case-crossover method using conditional Poisson models to quantify the association between the proportion of heat-related internet searches and (a) daily maximum temperature and (b) NWS heat alerts, adjusting for same-day county-specific temperature percentiles. We further evaluated how associations varied spatially and temporally within the season. Across all counties, searches for heat stroke/exhaustion were 3.60 (95% CI, 3.38–3.85) times higher when comparing the 95th percentile of daily maximum temperatures to the 1st percentile. Air-conditioning searches were 2.47 (2.43–2.51) times higher. Exposure–response curves rose steeply above the 80th percentile except for public swimming and cooling center queries. On heat alert days, heat-related searches were 1.27 (1.26, 1.28) times higher relative to matched non-alert days. Results varied by region. However, effect modification was pronounced: early-summer alerts (May–June) elicited stronger responses than late-summer alerts (July–September) in all heat-related search categories except cooling centers. Our findings suggest that heat alerts trigger meaningful, real-time behavioral responses during heatwaves, particularly in early summer and historically cooler regions. High-resolution internet search data offer a promising tool for evaluating public engagement with risk communication and can provide local officials guidance for further optimizing messaging strategies.

Environmental Research LettersVol. 20(9)
Boston University (US), University of Massachusetts Boston (US)
Openalex Percentile: Top 75%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.