2006 - 2015年印度城市夏季气温和相关全因死亡率的空间变异性:时间序列分析

IF 1 Q4 HEALTH POLICY & SERVICES
S. Rathi, P. Sodani, Prashant Sharma
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引用次数: 0

摘要

关于发达国家城市的极高温度与死亡率相关的文献很多,但关于发展中国家沿海、沙漠和干旱城市的文献却很少,尤其是印度。我们研究了2006年至2015年夏季(3月至6月)代表沿海、沙漠和干旱地区的三个印度城市的全因死亡率和极端高温。我们获得了10年来夏季月份的温度和全因死亡率数据。通过时间序列普通最小二乘线性回归模型评估环境热量对全因死亡率的城市特异性影响。2006年至2015年期间,斋浦尔、海得拉巴和苏拉特的环境温度分别为1203、1220和1180天,共有75,571、122,117和53,042人死亡。3603天中温度≥40℃的有994天(27.6%),感觉温度/热指数(HI)≥41℃的有2495天(69.3%)。根据印度气象局(IMD)的热浪标准,在研究期间,苏拉特最高温度≥40°C的天数最多为75天,而海得拉巴只有4天,斋浦尔有35天最高温度≥45°C。根据IMD热浪标准,斋浦尔和海得拉巴在≥45°C时的日平均全因死亡率分别增加到39%和11%,沿海城市苏拉特在≥40°C时的日平均全因死亡率增加到20%。时间序列线性回归模型显示,调整后的r平方分别为0.593、0.629和0.348,可以解释斋浦尔、海得拉巴和苏拉特的最高温度、最高湿度和最高HI对全因死亡率(因变量)的影响分别为59.3%、62.9%和34.8%。斋浦尔、海德拉巴和苏拉特全因死亡率的最高温度阈值(截止)分别为42°C、41°C和40°C。在所有研究地点,环境温度对全因死亡率上升的影响是明显的。因此,研究结果支持通过制定和实施城市特定的热量行动计划来减轻高环境温度对公众健康的负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Variability of Summer Temperature and Related All-cause Mortality from 2006 to 2015 for Indian Cities: A Time Series Analysis
Abundant literature is available on an extremely high temperature associated with mortality for cities of the developed world, but there is a dearth in the literature for coastal, desert and dry cities of the developing world, especially for India. We examined all-cause mortality and extreme high temperature in three Indian cities representing coastal, desert and dry areas for summer months (March to June) from 2006 to 2015. We obtained the data on temperature and all-cause mortality for ten years for the summer months. The city-specific effect of ambient heat on all-cause mortality was assessed through time series ordinary least square linear regression model. A total of 75,571, 122,117 and 53,042 deaths for 1,203, 1,220 and 1,180 summer days from 2006 to 2015 were analysed with ambient temperature for Jaipur, Hyderabad and Surat, respectively. There were 994 (27.6%) out of 3,603 summer days having temperature ≥40°C and 2,495 (69.3%) out of 3,602 summer days having feel temperature/heat index (HI) of ≥41°C. According to the Indian Meteorological Department (IMD) criteria for the heatwave, Surat has the maximum number of 75 days with a maximum temperature of ≥40°C, whereas Hyderabad has only 4 days and Jaipur faced 35 days with a maximum temperature of ≥45°C during the study period. The per-day mean all-cause mortality increased to 39% and 11% for Jaipur and Hyderabad, respectively, at ≥45°C and 20% for the coastal city of Surat at ≥40°C as per IMD heatwave criteria. A time-series linear regression model shows that adjusted R-squared is 0.593, 0.629 and 0.348, which explained the variation of 59.3%, 62.9% and 34.8% for all-cause mortality (dependent variable) by independent variables (maximum temperature, humidity and HI) for Jaipur, Hyderabad and Surat, respectively. The maximum temperature threshold (cut-off) for all-cause mortality for Jaipur, Hyderabad and Surat is 42°C, 41°C and 40°C, respectively. The impact of ambient heat in the rise of all-cause mortality for all study sites was evident. Hence, findings support the efforts for reducing the public health burden of high ambient temperature through developing and implementing city-specific heat action plans.
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来源期刊
Journal of Health Management
Journal of Health Management HEALTH POLICY & SERVICES-
CiteScore
3.40
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0.00%
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84
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