TY - JOUR
T1 - The impact of extreme heat on morbidity in Milwaukee, Wisconsin
AU - Li, Bo
AU - Sain, Steve
AU - Mearns, Linda O.
AU - Anderson, Henry A.
AU - Kovats, Sari
AU - Ebi, Kristie L.
AU - Bekkedal, Marni Y.V.
AU - Kanarek, Marty S.
AU - Patz, Jonathan A.
N1 - Funding Information:
Acknowledgements This research was supported under a grant from the U.S. EPA STAR grants program, Grant # R 832752010 entitled “Health Risks from Climate Variability and Change in the Upper Midwest: a Place-based Assessment of Climate-related Morbidity.” Special thanks to Megan Christenson, MS, for assistance in editing. There are no conflicts of interest. This research was also supported by NSF grants ATM-0502977, ATM-0534173 and DMS-1007686. We wish to thank the North American Regional Climate Change Assessment Program (NARCCAP) for providing the data used in this paper. NARCCAP is funded by the National Science Foundation (NSF), the U.S. Department of Energy (DoE), the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Environmental Protection Agency Office of Research and Development (EPA-ORD). The National Center for Atmospheric Research is managed by the University Corporation for Atmospheric Research under the sponsorship of the National Science Foundation. We also thank Larry McDaniel of NCAR for providing the meteorological data and Seth McGinnis of NCAR for support in obtaining the GFDL climate model data.
PY - 2012/2
Y1 - 2012/2
N2 - Given predictions of increased intensity and frequency of heat waves, it is important to study the effect of high temperatures on human mortality and morbidity. Many studies focus on heat wave-related mortality; however, heat-related morbidity is often overlooked. The goals of this study are to examine the historical observed relationship between temperature and morbidity (illness), and explore the extent to which observed historical relationships could be used to generate future projections of morbidity under climate change. We collected meteorological, air pollution, and hospital admissions data in Milwaukee, Wisconsin, for the years 1989-2005, and employed a generalized additive model (GAM) to quantify the relationship between morbidity (as measured by hospital admissions) and high temperatures with adjustment for the effects of potential confounders. We also estimated temperature threshold values for different causes of hospital admissions and then quantified the associated percent increase of admissions per degree above the threshold. Finally, the future impact of higher temperatures on admissions for the years 2059-2075 was examined. Our results show that five causes of admission (endocrine, genitourinary, renal, accidental, and self-harm) and three age groups (15-64, 75-84, > 85 years) were affected by high temperatures. Future projections indicate a larger number of days above the current temperature threshold leading to an increase in admissions. Our results indicate that climate change may increase heat-related hospital admissions in the US urban mid-West and that health systems should include heat wave planning.
AB - Given predictions of increased intensity and frequency of heat waves, it is important to study the effect of high temperatures on human mortality and morbidity. Many studies focus on heat wave-related mortality; however, heat-related morbidity is often overlooked. The goals of this study are to examine the historical observed relationship between temperature and morbidity (illness), and explore the extent to which observed historical relationships could be used to generate future projections of morbidity under climate change. We collected meteorological, air pollution, and hospital admissions data in Milwaukee, Wisconsin, for the years 1989-2005, and employed a generalized additive model (GAM) to quantify the relationship between morbidity (as measured by hospital admissions) and high temperatures with adjustment for the effects of potential confounders. We also estimated temperature threshold values for different causes of hospital admissions and then quantified the associated percent increase of admissions per degree above the threshold. Finally, the future impact of higher temperatures on admissions for the years 2059-2075 was examined. Our results show that five causes of admission (endocrine, genitourinary, renal, accidental, and self-harm) and three age groups (15-64, 75-84, > 85 years) were affected by high temperatures. Future projections indicate a larger number of days above the current temperature threshold leading to an increase in admissions. Our results indicate that climate change may increase heat-related hospital admissions in the US urban mid-West and that health systems should include heat wave planning.
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U2 - 10.1007/s10584-011-0120-y
DO - 10.1007/s10584-011-0120-y
M3 - Article
AN - SCOPUS:84856230846
SN - 0165-0009
VL - 110
SP - 959
EP - 976
JO - Climatic Change
JF - Climatic Change
IS - 3-4
ER -