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    Mortality risk attributable to high and low ambient temperature in Pune city, India: A time series analysis from 2004 to 2012

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    mortality risk_1-s2.0-S0013935121016054-main.pdf
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    Type
    Article
    Authors
    Ingole, Vijendra
    Sheridan, Scott
    Juvekar, Sanjay cc
    Achebak, Hicham cc
    Moraga, Paula cc
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2021-10-29
    Online Publication Date
    2021-10-29
    Print Publication Date
    2022-03
    Embargo End Date
    2022-10-29
    Submitted Date
    2021-09-16
    Permanent link to this record
    http://hdl.handle.net/10754/673007
    
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    Abstract
    Background Exposure to high and low ambient temperatures is associated with morbidity and mortality across the globe. Most of these studies assessing the effects of non-optimum temperatures on health and have been conducted in the developed world, whereas in India, the limited evidence on ambient temperature and health risks and has focused mostly on the effects of heat waves. Here we quantify short term association between all temperatures and mortality in urban Pune, India. Methods We applied a time series regression model to derive temperature-mortality associations based on daily mean temperature and all-cause mortality records of Pune city from year January 2004 to December 2012. We estimated high and low temperature-mortality relationships by using standard time series quasi-Poisson regression in conjunction with a distributed lag non-linear model (DLNM). We calculated temperature attributable mortality fractions for total heat and total cold. Findings The analysis provides estimates of the total mortality burden attributable to ambient temperature. Overall, 6∙5% [95%CI 1.76–11∙43] of deaths registered in the observational period were attributed to non-optimal temperatures, cold effect was greater 5.72% [95%CI 0∙70–10∙06] than heat 0∙84% [0∙35–1∙34]. The gender stratified analysis revealed that the highest burden among men both for heat and cold. Conclusion Non-optimal temperatures are associated with a substantial mortality burden. Our findings could benefit national, and local communities in developing preparedness and prevention strategies to reduce weather-related impacts immediately due to climate change.
    Citation
    Ingole, V., Sheridan, S., Juvekar, S., Achebak, H., & Moraga, P. (2021). Mortality risk attributable to high and low ambient temperature in Pune city, India: A time series analysis from 2004 to 2012. Environmental Research, 112304. doi:10.1016/j.envres.2021.112304
    Sponsors
    We thankfully acknowledge Pune Municipal Corporation for providing the all-cause mortality data. Authors thank Indian Meteorological Department Pune, India for providing meteorological data. We also thank Carles Mila, former researcher from ISGlobal, Barcelona Spain for his help in data cleaning and management. HA gratefully acknowledge funding from the EU's Horizon 2020 research and innovation programme under grant agreement no 865564 (European Research Council Consolidator Grant EARLY-ADAPT). We thank Rahul Gawai for his help to prepare Pune city location map.
    Publisher
    Elsevier BV
    Journal
    Environmental Research
    DOI
    10.1016/j.envres.2021.112304
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0013935121016054
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.envres.2021.112304
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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