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      Heat-Related Mortality in India: Excess All-Cause Mortality Associated with the 2010 Ahmedabad Heat Wave

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      1 , 2 , * , 1 , 2 , 1 , 3 , 1 , 1 , 4 , 5 , 3 , 4 , 6 , 7 , on behalf of the Ahmedabad HeatClimate Study Group
      PLoS ONE
      Public Library of Science

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          Abstract

          Introduction

          In the recent past, spells of extreme heat associated with appreciable mortality have been documented in developed countries, including North America and Europe. However, far fewer research reports are available from developing countries or specific cities in South Asia. In May 2010, Ahmedabad, India, faced a heat wave where the temperatures reached a high of 46.8°C with an apparent increase in mortality. The purpose of this study is to characterize the heat wave impact and assess the associated excess mortality.

          Methods

          We conducted an analysis of all-cause mortality associated with a May 2010 heat wave in Ahmedabad, Gujarat, India, to determine whether extreme heat leads to excess mortality. Counts of all-cause deaths from May 1–31, 2010 were compared with the mean of counts from temporally matched periods in May 2009 and 2011 to calculate excess mortality. Other analyses included a 7-day moving average, mortality rate ratio analysis, and relationship between daily maximum temperature and daily all-cause death counts over the entire year of 2010, using month-wise correlations.

          Results

          The May 2010 heat wave was associated with significant excess all-cause mortality. 4,462 all-cause deaths occurred, comprising an excess of 1,344 all-cause deaths, an estimated 43.1% increase when compared to the reference period (3,118 deaths). In monthly pair-wise comparisons for 2010, we found high correlations between mortality and daily maximum temperature during the locally hottest “summer” months of April (r = 0.69, p<0.001), May (r = 0.77, p<0.001), and June (r = 0.39, p<0.05). During a period of more intense heat (May 19–25, 2010), mortality rate ratios were 1.76 [95% CI 1.67–1.83, p<0.001] and 2.12 [95% CI 2.03–2.21] applying reference periods (May 12–18, 2010) from various years.

          Conclusion

          The May 2010 heat wave in Ahmedabad, Gujarat, India had a substantial effect on all-cause excess mortality, even in this city where hot temperatures prevail through much of April-June.

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          Most cited references15

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          Heat stress and public health: a critical review.

          Heat is an environmental and occupational hazard. The prevention of deaths in the community caused by extreme high temperatures (heat waves) is now an issue of public health concern. The risk of heat-related mortality increases with natural aging, but persons with particular social and/or physical vulnerability are also at risk. Important differences in vulnerability exist between populations, depending on climate, culture, infrastructure (housing), and other factors. Public health measures include health promotion and heat wave warning systems, but the effectiveness of acute measures in response to heat waves has not yet been formally evaluated. Climate change will increase the frequency and the intensity of heat waves, and a range of measures, including improvements to housing, management of chronic diseases, and institutional care of the elderly and the vulnerable, will need to be developed to reduce health impacts.
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            Is Open Access

            Heat Waves in the United States: Mortality Risk during Heat Waves and Effect Modification by Heat Wave Characteristics in 43 U.S. Communities

            Background Devastating health effects from recent heat waves, and projected increases in frequency, duration, and severity of heat waves from climate change, highlight the importance of understanding health consequences of heat waves. Objectives We analyzed mortality risk for heat waves in 43 U.S. cities (1987–2005) and investigated how effects relate to heat waves’ intensity, duration, or timing in season. Methods Heat waves were defined as ≥ 2 days with temperature ≥ 95th percentile for the community for 1 May through 30 September. Heat waves were characterized by their intensity, duration, and timing in season. Within each community, we estimated mortality risk during each heat wave compared with non-heat wave days, controlling for potential confounders. We combined individual heat wave effect estimates using Bayesian hierarchical modeling to generate overall effects at the community, regional, and national levels. We estimated how heat wave mortality effects were modified by heat wave characteristics (intensity, duration, timing in season). Results Nationally, mortality increased 3.74% [95% posterior interval (PI), 2.29–5.22%] during heat waves compared with non-heat wave days. Heat wave mortality risk increased 2.49% for every 1°F increase in heat wave intensity and 0.38% for every 1-day increase in heat wave duration. Mortality increased 5.04% (95% PI, 3.06–7.06%) during the first heat wave of the summer versus 2.65% (95% PI, 1.14–4.18%) during later heat waves, compared with non-heat wave days. Heat wave mortality impacts and effect modification by heat wave characteristics were more pronounced in the Northeast and Midwest compared with the South. Conclusions We found higher mortality risk from heat waves that were more intense or longer, or those occurring earlier in summer. These findings have implications for decision makers and researchers estimating health effects from climate change.
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              The 2006 California Heat Wave: Impacts on Hospitalizations and Emergency Department Visits

              Background Climate models project that heat waves will increase in frequency and severity. Despite many studies of mortality from heat waves, few studies have examined morbidity. Objectives In this study we investigated whether any age or race/ethnicity groups experienced increased hospitalizations and emergency department (ED) visits overall or for selected illnesses during the 2006 California heat wave. Methods We aggregated county-level hospitalizations and ED visits for all causes and for 10 cause groups into six geographic regions of California. We calculated excess morbidity and rate ratios (RRs) during the heat wave (15 July to 1 August 2006) and compared these data with those of a reference period (8–14 July and 12–22 August 2006). Results During the heat wave, 16,166 excess ED visits and 1,182 excess hospitalizations occurred statewide. ED visits for heat-related causes increased across the state [RR = 6.30; 95% confidence interval (CI), 5.67–7.01], especially in the Central Coast region, which includes San Francisco. Children (0–4 years of age) and the elderly (≥ 65 years of age) were at greatest risk. ED visits also showed significant increases for acute renal failure, cardiovascular diseases, diabetes, electrolyte imbalance, and nephritis. We observed significantly elevated RRs for hospitalizations for heat-related illnesses (RR = 10.15; 95% CI, 7.79–13.43), acute renal failure, electrolyte imbalance, and nephritis. Conclusions The 2006 California heat wave had a substantial effect on morbidity, including regions with relatively modest temperatures. This suggests that population acclimatization and adaptive capacity influenced risk. By better understanding these impacts and population vulnerabilities, local communities can improve heat wave preparedness to cope with a globally warming future.
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                Author and article information

                Contributors
                On behalf of : on behalf of the Ahmedabad HeatClimate Study Group
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                14 March 2014
                : 9
                : 3
                : e91831
                Affiliations
                IIPH-G
                Bhaskar
                IIPH-G
                Emory University
                NRDC
                NRDC
                NRDC and Mailman SPH, Columbia University
                IIPH-G
                IIPH-G
                Fulbright Student Research Scholar
                Icahn SOM at Mount Sinai
                [1 ]Indian Institute of Public Health, Ahmedabad, Gujarat, India
                [2 ]Public Health Foundation of India, New Delhi, India
                [3 ]Columbia Mailman School of Public Health, New York, New York, United States of America
                [4 ]Natural Resources Defense Council, New York, New York, United States of America
                [5 ]Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
                [6 ]Department of Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
                [7 ]Department of Environmental Health, Emory University School of Public Health, Atlanta, Georgia, United States of America
                Kagoshima University Graduate School of Medical and Dental Sciences, Japan
                Author notes

                ¶ Membership of the Ahmedabad Heat and Climate Study Group is provided in the Acknowledgments

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: GSA DM AS AJ KK JH PS. Performed the experiments: GSA AR AS PD DM. Analyzed the data: GSA AR PD AS DM. Contributed reagents/materials/analysis tools: AS AR PD GSA KK JH PS AJ. Wrote the paper: GSA KK JH PS DM AJ AR AS. Obtained the data and permissions to use the data: DM GSA AJ AS.

                Article
                PONE-D-13-40541
                10.1371/journal.pone.0091831
                3954798
                24633076
                deaf7443-3209-44d9-afc3-ae9bad8c69a1
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 October 2013
                : 15 February 2014
                Page count
                Pages: 8
                Funding
                This work is funded by a grant from the Climate Knowledge Development Network. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Epidemiology
                Disease Informatics
                Environmental Epidemiology
                Lifecourse Epidemiology
                Health Care
                Environmental Health
                Public and Occupational Health
                Disease Ecology
                Global Health
                Health Screening
                Preventive Medicine
                Research and Analysis Methods
                Research Design
                Clinical Research Design

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