通过“寒冷+黑暗+干燥”天气预测老年人在covid - 19前的死亡

Craig Jowett
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引用次数: 1

摘要

这项正在进行的研究分析了加拿大安大略省10多年来covid前的死亡情况,发现老年人死亡与多伦多市中心之前的天气变量之间存在明显关联。年轻群体的死亡与天气的关系较小。死亡率取决于温度、太阳辐照度(阳光)和相对湿度,在前几周最冷、最黑暗和最干燥的时候,死亡率最高。甲型和乙型流感确诊病例与冬季的死亡高峰和春季的继发性“肩型”高峰相关。秋季的二次高峰与流感无关,但可能与其他疾病有关。这些结果表明,阳光、温度和绝对湿度的简单组合可以预先警告老年护理机构和一般人群何时更有可能死亡,以及何时可能采取平衡措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Pre-COVID Deaths in the Elderly by ‘Cold + Dark + Dry’ Weather
This on-going study analyses pre-COVID deaths in Ontario Canada over 10 years and finds a clear association between deaths in the elderly with preceding weather variables in downtown Toronto. Deaths in the younger groups are less dependent on weather. Death rates are shown to depend on temperature, solar irradiance (sunlight) and relative humidity, with highest deaths occurring when preceding weeks were coldest, darkest, and driest. Confirmed cases of Influenzas A and B correlate with the death spikes in winter and with the secondary ‘shoulder’ spikes in spring. Secondary spikes in the fall are not related to influenza but presumably to other illnesses. These results suggest that the simple combination of sunlight, temperature, and absolute humidity can forewarn when death will be more likely and when counter-balancing steps might be taken in elder care facilities and the general population.
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