Evaluating the Appropriateness of Downscaled Climate Information for Projecting Risks of Salmonella.

ABSTRACT: Foodborne diseases have large economic and societal impacts worldwide. To evaluate how the risks of foodborne diseases might change in response to climate change, credible and usable climate information tailored to the specific application question is needed. Global Climate Model (GCM) data generally need to, both, be downscaled to the scales of the application to be usable, and represent, well, the key characteristics that inflict health impacts. This study presents an evaluation of temperature-based heat indices for the Washington D.C. area derived from statistically downscaled GCM simulations for 1971-2000--a necessary step in establishing the credibility of these data. The indices approximate high weekly mean temperatures linked previously to occurrences of Salmonella infections. Due t

SUBMITTER: Guentchev GS 

PROVIDER: S-EPMC4808930 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature