Evidence map›Paper›PMID 34031244›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Spatial variation in the joint effect of extreme heat events and ozone on respiratory hospitalizations in California.

Lara Schwarz, Kristen Hansen, Anna Alari, Sindana D Ilango, Nelson Bernal, Rupa Basu, Alexander Gershunov, Tarik Benmarhnia

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 69 citations in OpenAlex.

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  19. Climate change and public health in California: A structured review of exposures, vulnerable populations, and adaptation measures.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 3 countries.

Lara SchwarzSchool of Public Health, San Diego State University, San Diego, CA 92182; lnschwar@health.ucsd.edu k1hansen@health.ucsd.edu.ORCID 0000-0003-2567-0986
Kristen HansenHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093; lnschwar@health.ucsd.edu k1hansen@health.ucsd.edu.ORCID 0000-0001-7399-7911
Anna AlariSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, NEMESIS (Neighborhood Environments and Mobility: Effects on Social health InequalitieS) Research Team, F75012, Paris, France.
Sindana D IlangoDepartment of Epidemiology, University of Washington, Seattle, WA 98195.
Nelson BernalCenter for Sustainable Development, University of Brasilia, Brasilia 70910-900, Brazil.ORCID 0000-0001-6778-555X
Rupa BasuOffice of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA 94612.
Alexander GershunovScripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92038.
Tarik BenmarhniaHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093.
Scripps Institution of Oceanography · USCalifornia Environmental Protection Agency · USInserm · FRSan Diego State University · USUniversidade de Brasília · BRUniversity of California San Diego · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme heat and ozone are co-occurring exposures that independently and synergistically increase the risk of respiratory disease. To our knowledge, no joint warning systems consider both risks; understanding their interactive effect can warrant use of comprehensive warning systems to reduce their burden. We examined heterogeneity in joint effects (on the additive scale) between heat and ozone at small geographical scales. A within-community matched design with a Bayesian hierarchical model was applied to study this association at the zip code level. Spatially varying relative risks due to interaction (RERI) were quantified to consider joint effects. Determinants of the spatial variability of effects were assessed using a random effects metaregression to consider the role of demographic/neighborhood characteristics that are known effect modifiers. A total of 817,354 unscheduled respiratory hospitalizations occurred in California from 2004 to 2013 in the May to September period. RERIs revealed no additive interaction when considering overall joint effects. However, when considering the zip code level, certain areas observed strong joint effects. A lower median income, higher percentage of unemployed residents, and exposure to other air pollutants within a zip code drove stronger joint effects; a higher percentage of commuters who walk/bicycle, a marker for neighborhood wealth, showed decreased effects. Results indicate the importance of going beyond average measures to consider spatial variation in the health burden of these exposures and predictors of joint effects. This information can be used to inform early warning systems that consider both heat and ozone to protect populations from these deleterious effects in identified areas.

Indexed as

Extreme HeatAir PollutantsBayes TheoremCaliforniaHospitalizationHumansOzoneRespiratory SystemRiskAir PollutantsOzoneextreme heathealthjoint effectsozonespatial analysis

Identifiers

PMID34031244
PMCPMC8179213
OpenAlexW3165035708

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.