Evaluating the appropriateness of downscaled climate information for projecting risks of salmonella

International Journal of Environmental Research and Public Health

Volumn 13, Issue 3, 2016, Pages

  Guentchev, Galina S ^a   Rood, Richard B ^b   Ammann, Caspar M ^a   Barsugli, Joseph J ^c   Ebi, Kristie ^d   Berrocal, Veronica ^e   O’Neill, Marie S ^e   Gronlund, Carina J ^e   Vigh, Jonathan L ^a   Koziol, Ben ^c   Cinquini, Luca ^f  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

^e UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^f NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

ARRM and BCCA statistical downscaling methods; Evaluation; Foodborne disease; Salmonella infections; Temperature based heat indices; Washington D.C

Indexed keywords

BACTERIUM; CLIMATE MODELING; DOWNSCALING; FOOD POISONING; HEALTH IMPACT; HEALTH RISK; INFECTIOUS DISEASE; TEMPERATURE EFFECT;

ARTICLE; ASYNCHRONOUS REGIONAL REGRESSION MODEL; BIAS CORRECTION CONSTRUCTED ANALOG; CLIMATE CHANGE; ENVIRONMENTAL TEMPERATURE; HIGH TEMPERATURE; INFECTION RISK; SALMONELLOSIS; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; UNITED STATES; CLIMATE; ENVIRONMENTAL MONITORING; HEAT; HUMAN; ISOLATION AND PURIFICATION; RISK FACTOR; SALMONELLA; SALMONELLA INFECTIONS; SEASON; THEORETICAL MODEL; WASHINGTON;

DISTRICT OF COLUMBIA; UNITED STATES; WASHINGTON [DISTRICT OF COLUMBIA];

SALMONELLA;

CLIMATE; CLIMATE CHANGE; ENVIRONMENTAL MONITORING; HOT TEMPERATURE; HUMANS; MODELS, THEORETICAL; RISK FACTORS; SALMONELLA; SALMONELLA INFECTIONS; SEASONS; WASHINGTON;

EID: 84959319781     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph13030267     Document Type: Article

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