Details:

Alternative Title:
PLoS One
Publisher's site:
http://dx.doi.org/10.1371/journal.pone.0144202
Personal Author:
Romeo Upperman, Crystal ; Parker, Jennifer ; Jiang, Chengsheng ; He, Xin ; Murtugudde, Raghuram ; ... More +
Romeo Upperman, Crystal ; Parker, Jennifer ; Jiang, Chengsheng ; He, Xin ; Murtugudde, Raghuram ; Sapkota, Amir ; Less -
Description:
Epidemiological investigation of the impact of climate change on human health, particularly chronic diseases, is hindered by the lack of exposure metrics that can be used as a marker of climate change that are compatible with health data. Here, we present a surrogate exposure metric created using a 30-year baseline (1960-1989) that allows users to quantify long-term changes in exposure to frequency of extreme heat events with near unabridged spatial coverage in a scale that is compatible with national/state health outcome data. We evaluate the exposure metric by decade, seasonality, area of the country, and its ability to capture long-term changes in weather (climate), including natural climate modes. Our findings show that this generic exposure metric is potentially useful to monitor trends in the frequency of extreme heat events across varying regions because it captures long-term changes; is sensitive to the natural climate modes (ENSO events); responds well to spatial variability, and; is amenable to spatial/temporal aggregation, making it useful for epidemiological studies.
Subject:
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Research Article

Source:
PLoS One. 10(12). ;
Pubmed ID:
26641244
Pubmed Central ID:
PMC4671592
Document Type:
Journal Article ;
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:d891a5b4839c8df8e3f825df60f0a030e7e8da1e328d1a9a0c79ee1b94d6df05
File Type:

Supporting Files

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