Evidence map›Paper›PMID 25244362›Full record

ReviewJAMA2014

Climate change: challenges and opportunities for global health.

Jonathan A Patz, Howard Frumkin, Tracey Holloway, Daniel J Vimont, Andrew Haines

Open access · greenAbstract readReview
In one paragraph

Review in JAMA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 6 pooled it
24.3field-weighted citation impact, top 1% 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

180 citing papers in PubMed, 6 syntheses or guidelines pooled it, 561 citations in OpenAlex.

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120 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Jonathan A PatzGlobal Health Institute, Madison, Wisconsin2Nelson Institute for Environmental Studies, University of Wisconsin, Madison 3Department of Population Health Sciences, University of Wisconsin, Madison.
Howard FrumkinSchool of Public Health, University of Washington, Seattle.
Tracey HollowayNelson Institute for Environmental Studies, University of Wisconsin, Madison 5Department of Atmospheric/Oceanic Sciences, University of Wisconsin, Madison.
Daniel J VimontDepartment of Atmospheric/Oceanic Sciences, University of Wisconsin, Madison6Nelson Institute, Center for Climatic Research, University of Wisconsin, Madison.
Andrew HainesDepartment of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine, London, England8Department of Population Health, London School of Hygiene & Tropical Medicine, London, England.
University of Wisconsin–Madison · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Washington · USUniversity of Wisconsin Health · US

Funding

Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NICHD NIH HHS P2C HD047873
6 · The paper itself

Abstract

importanceHealth is inextricably linked to climate change. It is important for clinicians to understand this relationship in order to discuss associated health risks with their patients and to inform public policy.

objectivesTo provide new US-based temperature projections from downscaled climate modeling and to review recent studies on health risks related to climate change and the cobenefits of efforts to mitigate greenhouse gas emissions. DATA SOURCES, STUDY SELECTION, AND DATA SYNTHESIS: We searched PubMed and Google Scholar from 2009 to 2014 for articles related to climate change and health, focused on governmental reports, predictive models, and empirical epidemiological studies. Of the more than 250 abstracts reviewed, 56 articles were selected. In addition, we analyzed climate data averaged over 13 climate models and based future projections on downscaled probability distributions of the daily maximum temperature for 2046-2065. We also compared maximum daily 8-hour average ozone with air temperature data taken from the National Oceanic and Atmospheric Administration, National Climate Data Center.

resultsBy 2050, many US cities may experience more frequent extreme heat days. For example, New York and Milwaukee may have 3 times their current average number of days hotter than 32°C (90°F). High temperatures are also strongly associated with ozone exceedance days, for example, in Chicago, Illinois. The adverse health aspects related to climate change may include heat-related disorders, such as heat stress and economic consequences of reduced work capacity; respiratory disorders, including those exacerbated by air pollution and aeroallergens, such as asthma; infectious diseases, including vectorborne diseases and waterborne diseases, such as childhood gastrointestinal diseases; food insecurity, including reduced crop yields and an increase in plant diseases; and mental health disorders, such as posttraumatic stress disorder and depression, that are associated with natural disasters. Substantial health and economic cobenefits could be associated with reductions in fossil fuel combustion. For example, greenhouse gas emission policies may yield net economic benefit, with health benefits from air quality improvements potentially offsetting the cost of US and international carbon policies. CONCLUSIONS AND RELEVANCE: Evidence over the past 20 years indicates that climate change can be associated with adverse health outcomes. Health care professionals have an important role in understanding and communicating the related potential health concerns and the cobenefits from policies to reduce greenhouse gas emissions.

Indexed as

Climate ChangeTemperatureCommunicable DiseasesFood SupplyForecastingGlobal HealthHealth PolicyHealth StatusHeat Stress DisordersHumansModels, TheoreticalRespiratory Tract Diseases

Identifiers

PMID25244362
PMCPMC6108836
OpenAlexW2136833125

What OpenQuestion holds

Textmetadata
LicenceTDM
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.