气温在冠状病毒感染发生率中的作用

Z.I. Khannanova
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引用次数: 0

摘要

这项研究的目的是解决我们这个时代的一个紧迫问题——获得关于某一特定地区各种因素对流行病学情况影响的新知识。试图确定研究地区的流行病学情况与气象因素(气温)之间可能存在的统计依赖性。为了达到研究目的,作者使用了气象站水文气象网络的仪器观测档案和俄罗斯联邦卫生部的官方统计数据。在研究过程中,对新型冠状病毒感染SARS-CoV-2发病时间序列和气象参数序列进行了分析。除了关于病例数的系列数据外,还涉及了SARS-CoV-2确诊死亡人数的数据。作者揭示了鞑靼斯坦共和国冠状病毒感染发病率与气温之间的统计关系。通过相互转换初始序列来考虑疾病的潜伏期。发现SARS-CoV-2的发病率相对于气温变化有时间延迟;对所得结果进行了分析。作者的计算表明,检测到的病例数与平均日气温之间存在统计学上显著的关系;得到了回归依赖关系。所获得结果的可靠性是由于累积序列的长度,其中包括一年期间发病率的每日数据。气象统计初始数据系列的不确定性可以通过引入和随后加强反流行病学措施来解释。随着序列长度的增加和所考虑因素的覆盖范围的扩大,研究可以继续进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE ROLE OF AIR TEMPERATURE IN THE INCIDENCE OF CORONAVIRUS INFECTION
The study is aimed at solving an urgent problem of our time – obtaining new knowledge about the influence of various factors on the epidemiological situation in a particular region. An attempt was made to identify a possible statistical dependence of the epidemiological situation in the study region and meteorological factors (air temperature). To achieve the purpose of the study, the author used the archive of instrumental observations from the Roshydromet network of meteorological stations and official statistics of the Ministry of Health of the Russian Federation. In the course of the study, an analysis was performed of the time series of the incidence of the new coronavirus infection SARS-CoV-2 and the series of meteorological parameters. Along with the series on the number of cases, data on the number of confirmed deaths from SARS-CoV-2 were involved. The author revealed statistical relationships between the incidence of the coronavirus infection in the Republic of Tatarstan and air temperature. The incubation period of the disease was taken into account by shifting the initial series relative to each other. A temporal delay in the incidence of SARS-CoV-2 relative to changes in air temperature was found; analysis of the results obtained is provided. The author’s calculations indicate a statistically significant relationship between the number of detected cases and the average daily air temperature; a regression dependence was obtained. The reliability of the obtained results is due to the length of the accumulated series, which include daily data on the incidence for a period of one year. Uncertainty in the series of initial data of meteorological statistics can be explained by the introduction and subsequent strengthening of anti-epidemiological measures. The study can be continued as the series length increases and the coverage of the considered factors expands.
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