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      Increasing probability of mortality during Indian heat waves

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          Abstract

          An increase of 0.5°C in summer mean temperatures increases the probability of mass heat-related mortality in India by 146%.

          Abstract

          Rising global temperatures are causing increases in the frequency and severity of extreme climatic events, such as floods, droughts, and heat waves. We analyze changes in summer temperatures, the frequency, severity, and duration of heat waves, and heat-related mortality in India between 1960 and 2009 using data from the India Meteorological Department. Mean temperatures across India have risen by more than 0.5°C over this period, with statistically significant increases in heat waves. Using a novel probabilistic model, we further show that the increase in summer mean temperatures in India over this period corresponds to a 146% increase in the probability of heat-related mortality events of more than 100 people. In turn, our results suggest that future climate warming will lead to substantial increases in heat-related mortality, particularly in developing low-latitude countries, such as India, where heat waves will become more frequent and populations are especially vulnerable to these extreme temperatures. Our findings indicate that even moderate increases in mean temperatures may cause great increases in heat-related mortality and support the efforts of governments and international organizations to build up the resilience of these vulnerable regions to more severe heat waves.

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          Heat Stroke

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            On the Measurement of Heat Waves

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              Heat-related and cold-related deaths in England and Wales: who is at risk?

              Despite the high burden from exposure to both hot and cold weather each year in England and Wales, there has been relatively little investigation on who is most at risk, resulting in uncertainties in informing government interventions. To determine the subgroups of the population that are most vulnerable to heat-related and cold-related mortality. Ecological time-series study of daily mortality in all regions of England and Wales between 1993 and 2003, with postcode linkage of individual deaths to a UK database of all care and nursing homes, and 2001 UK census small-area indicators. A risk of mortality was observed for both heat and cold exposure in all regions, with the strongest heat effects in London and strongest cold effects in the Eastern region. For all regions, a mean relative risk of 1.03 (95% confidence interval (CI) 1.02 to 1.03) was estimated per degree increase above the heat threshold, defined as the 95th centile of the temperature distribution in each region, and 1.06 (95% CI 1.05 to 1.06) per degree decrease below the cold threshold (set at the 5th centile). Elderly people, particularly those in nursing and care homes, were most vulnerable. The greatest risk of heat mortality was observed for respiratory and external causes, and in women, which remained after control for age. Vulnerability to either heat or cold was not modified by deprivation, except in rural populations where cold effects were slightly stronger in more deprived areas. Interventions to reduce vulnerability to both hot and cold weather should target all elderly people. Specific interventions should also be developed for people in nursing and care homes as heat illness is easily preventable.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                June 2017
                07 June 2017
                : 3
                : 6
                : e1700066
                Affiliations
                [1 ]Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA 92697, USA.
                [2 ]Department of Earth System Science, University of California, Irvine, Irvine, CA 92697, USA.
                [3 ]Department of Geography, University of California, Los Angeles, Los Angeles, CA 90095, USA.
                [4 ]Department of Civil Engineering, Boise State University, Boise, ID 83725, USA.
                [5 ]Southern California Coastal Water Research Project, 3535 Harbor Boulevard, Costa Mesa, CA 92626, USA.
                [6 ]Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India.
                [7 ]Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi 110016, India.
                Author notes
                [* ]Corresponding author. Email: amir.a@ 123456uci.edu
                Author information
                http://orcid.org/0000-0002-6603-2502
                http://orcid.org/0000-0003-4057-452X
                http://orcid.org/0000-0002-5722-1440
                http://orcid.org/0000-0003-0206-5193
                Article
                1700066
                10.1126/sciadv.1700066
                5462497
                28630921
                e3026a63-8df8-43b7-bbcd-d4ce1da51b79
                Copyright © 2017, The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 06 January 2017
                : 21 April 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100006754, Army Research Laboratory;
                Award ID: ID0EZ5BI17879
                Award ID: W911NF-14-1-0684
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: ID0EK6BI17878
                Award ID: EAR-1316536
                Award Recipient :
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Environmental Science
                Custom metadata
                Nielsen Santos

                heatwaves,mortality,climate extremes
                heatwaves, mortality, climate extremes

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