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上海地区儿童流感大流行病毒爆发的季节性与环境气象因素之间的关联。

The association between the seasonality of pediatric pandemic influenza virus outbreak and ambient meteorological factors in Shanghai.

机构信息

University of British Columbia, Vancouver, Canada.

Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.

出版信息

Environ Health. 2020 Jun 17;19(1):71. doi: 10.1186/s12940-020-00625-7.

Abstract

BACKGROUND AND OBJECTIVES

The number of pediatric patients diagnosed with influenza types A and B is increasing annually, especially in temperate regions such as Shanghai (China). The onset of pandemic influenza viruses might be attributed to various ambient meteorological factors including temperature, relative humidity (Rh), and PM concentrations, etc. The study aims to explore the correlation between the seasonality of pandemic influenza and these factors.

METHODS

We recruited pediatric patients aged from 0 to 18 years who were diagnosed with influenza A or B from July 1st, 2017 to June 30th, 2019 in Shanghai Children's Medical Centre (SCMC). Ambient meteorological data were collected from the Shanghai Meteorological Service (SMS) over the same period. The correlation of influenza outbreak and meteorological factors were analyzed through preliminary Pearson's r correlation test and subsequent time-series Poisson regression analysis using the distributed lag non-linear model (DLNM).

RESULTS

Pearson's r test showed a statistically significant correlation between the weekly number of influenza A outpatients and ambient meteorological factors including weekly mean, maximum, minimum temperature and barometric pressure (P < 0.001), and PM (P < 0.01). While the weekly number of influenza B outpatients was statistically significantly correlated with weekly mean, maximum and minimum temperature (P < 0.001), barometric pressure and PM (P < 0.01), and minimum Rh (P < 0.05). Mean temperature and PM were demonstrated to be the statistically significant variables in the DLNM with influenza A and B outpatients through time-series Poisson regression analysis. A U-shaped curve relationship was noted between the mean temperature and influenza A cases (below 15 °C and above 20 °C), and the risks increased for influenza B with mean temperature below 10 °C. PM posed a risk after a concentration of 23 ppm for both influenza A and B. High PM, low and the high temperature had significant effects upon the number of influenza A cases, whereas low temperature and high PM had significant effects upon the number of influenza B cases.

CONCLUSION

This study indicated that mean temperature and PM were the primary factors that were continually associated with the seasonality of pediatric pandemic influenza A and B and the recurrence in the transmission and spread of influenza viruses.

摘要

背景与目的

在上海(中国)等温带地区,每年被诊断患有甲型和乙型流感的儿科患者数量都在增加。大流行流感病毒的发病可能归因于各种环境气象因素,包括温度、相对湿度(Rh)和 PM 浓度等。本研究旨在探讨大流行流感的季节性与这些因素之间的相关性。

方法

我们招募了 2017 年 7 月 1 日至 2019 年 6 月 30 日期间在上海儿童医学中心(SCMC)被诊断为甲型或乙型流感的 0 至 18 岁儿科患者。同期,从上海市气象局(SMS)收集环境气象数据。通过初步的 Pearson r 相关检验和随后的使用分布滞后非线性模型(DLNM)的时间序列泊松回归分析,分析流感爆发与气象因素的相关性。

结果

Pearson r 检验显示,甲型流感门诊患者每周数量与环境气象因素(包括每周平均、最高、最低温度和气压)以及 PM(P<0.001)存在统计学显著相关性。而乙型流感门诊患者每周数量与每周平均、最高和最低温度(P<0.001)、气压和 PM(P<0.01)以及最低 Rh(P<0.05)存在统计学显著相关性。通过时间序列泊松回归分析,在 DLNM 中,平均温度和 PM 被证明是甲型和乙型流感门诊患者的统计学显著变量。在平均温度与甲型流感病例之间观察到 U 型曲线关系(低于 15°C 和高于 20°C),当平均温度低于 10°C 时,乙型流感的风险增加。对于甲型和乙型流感,PM 浓度在 23ppm 后存在风险。高 PM、低温和高温对甲型流感病例数量有显著影响,而低温和高 PM 对乙型流感病例数量有显著影响。

结论

本研究表明,平均温度和 PM 是与儿科大流行流感 A 和 B 的季节性以及流感病毒传播和扩散的复发持续相关的主要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4111/7301508/862fddfe39a7/12940_2020_625_Fig1_HTML.jpg

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