Liu Yanwen, Jingyu Xie, Cihan Cai, Tsang Hilda, Lu Shuya, He Daihai, Yang Lin
Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong SAR, China.
JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong SAR, China.
Digit Health. 2024 Jun 11;10:20552076241261892. doi: 10.1177/20552076241261892. eCollection 2024 Jan-Dec.
This study aimed to estimate the variation in disease burden associated with air pollutants and other respiratory viruses during the COVID-19 pandemic.
We adopted a machine learning approach to calculate the excess mortality attributable to air pollutants and influenza, during the pre-pandemic and pandemic period.
In the first 2 years of the COVID-19 pandemic, there were 8762 (95% confidence interval, 7503-9993), and 12,496 (11,718-13,332) excess all-cause deaths in Hong Kong. These figures correspond to 117.4 and 167.9 per 100,000 population, and 12.6% and 8.5% of total deaths in 2020 and 2021, respectively. Compared to the period before the pandemic, excess deaths from all-causes, cardiovascular and respiratory diseases, pneumonia and influenza attributable to influenza A and B significantly decreased in all age groups. However, excess deaths associated with ozone increased in all age-disease categories, while the relative change of nitrogen dioxide (NO) and particular matters less than 10 µm (PM) associated burden showed a varied pattern.
A notable shift in disease burden attributable to influenza and air pollutants was observed in the pandemic period, suggesting that both direct and indirect impacts shall be considered when assessing the global and regional burden of the COVID-19 pandemic.
本研究旨在评估2019冠状病毒病(COVID-19)大流行期间与空气污染物及其他呼吸道病毒相关的疾病负担变化情况。
我们采用机器学习方法计算大流行前和大流行期间空气污染物及流感所致的超额死亡率。
在COVID-19大流行的头两年,香港全因超额死亡人数分别为8762例(95%置信区间为7503 - 9993)和12496例(11718 - 13332)。这些数字分别相当于每10万人口中有117.4例和167.9例,分别占2020年和2021年总死亡人数的12.6%和8.5%。与大流行前时期相比,各年龄组中甲型和乙型流感所致的全因、心血管和呼吸道疾病、肺炎及流感的超额死亡人数显著下降。然而,与臭氧相关的超额死亡人数在所有年龄 - 疾病类别中均有所增加,而二氧化氮(NO)和小于10微米的颗粒物(PM)相关负担的相对变化呈现出不同的模式。
在大流行期间观察到流感和空气污染物所致疾病负担发生了显著变化,这表明在评估COVID-19大流行的全球和区域负担时,应同时考虑直接和间接影响。