阿尔泰边疆区居民急性呼吸道传染病高发病率的原因和条件分析(第 2 部分:环境因素、库氏杆菌病和蜱传立克次体病的诊断)》(Part 2.环境因素、柯西氏病和蜱传立克次体病的诊断)

A. I. Blokh, N. Pen’evskaya, N. Rudakov, S. Shtrek, S. Shpynov, O. F. Egorova, Kh. A. Manokhina, D. Saveliev, S. Y. Krasotkina
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Pearson correlation coefficient was used to assess the strength of the relationship between the analyzed indicators; and seasonality coefficients and the method of trend-seasonal decomposition were used to assess the intra-annual dynamics of the incidence of ARI and CAP (for the period 2011-2019). To study seroprevalence of antibodies to C. burnetii, R. sibirica and SARS-CoV-2 in febrile patients with symptoms of ARI blood samples were collected in October 2022 from ten rural districts of the AK. Results and discussion. It was established that there was a significant direct correlation between the incidence of ARI and the amount of SO2 emissions into the atmosphere (r = 0.61, p < 0.001), as well as between the incidence of ARI and population density (r = 0.53, p < 0.001). The largest share (69%) of the total number of ARI cases in the Altai Territory in 2011–2021 was attributed to the cities of Barnaul, Biysk, Rubtsovsk, Zarinsk and Novoaltaisk, which are characterized by maximum SO2 emissions and population density. An additional contribution (8% total) to the incidence of ARI in the Altai Territory was attributed to 7 rural areas with the highest levels of SO2 emissions. Regardless of the ranking for the incidence of ARI and CAP, in 9 out of 10 areas selected for the study, patients had both anamnestic and diagnostic titers of antibodies to C. burnetii and/or R. sibirica. At the same time, coxiellosis cases in these areas were not registered for 12 years, and the number of cases of STT was much less than the probable number based on the proportion of patients which were seropositive to R. sibirica and had symptoms of ARI. 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引用次数: 0

摘要

相关性。阿尔泰边疆区(AK)是俄罗斯联邦急性呼吸道感染(ARI)发病率最低的地区之一。对 2011-2021 年阿尔泰边疆区不同人群急性呼吸道感染和社区获得性肺炎(CAP)发病率的长期和年内动态进行研究的结果表明,急性呼吸道感染流行过程的特征与环境因素(主要是空气污染)之间可能存在联系,阿尔泰边疆区境内广泛分布着蜱媒传播和人畜共患感染的自然和非自然病灶,同时还存在诊断问题。目标评估环境因素对阿尔泰边疆区登记的急性呼吸道感染高发病率形成的可能影响,以及一些伴有发热和呼吸道症状的自然病灶和人畜共患感染的诊断。材料和方法根据 2011-2021 年期间关于阿勒泰边疆区各市(MU)人口发病率、人口和环境特征的年度和月度官方统计报告,进行了一项流行病学回顾性研究,计算了 ARI、VBP、肺结核、西伯利亚蜱斑疹伤寒(STT)、弓形虫蜱媒包虫病、蜱媒病毒性脑炎的长期平均发病率;人口对蜱虫叮咬的呼吁;人口密度和二氧化硫(SO2)年平均排放量。皮尔逊相关系数用于评估分析指标之间的关系强度;季节性系数和趋势-季节分解法用于评估急性呼吸道感染和流行性感冒发病率的年内动态(2011-2019 年)。为了研究有急性呼吸道感染症状的发热病人的烧伤弧菌、西伯利亚鼠和 SARS-CoV-2 抗体的血清流行率,2022 年 10 月在 AK 的 10 个农村地区采集了血样。结果和讨论。结果表明,急性呼吸道感染发病率与大气中的二氧化硫排放量(r = 0.61,p < 0.001)以及急性呼吸道感染发病率与人口密度(r = 0.53,p < 0.001)之间存在明显的直接相关性。2011-2021年阿尔泰边疆区急性呼吸道感染病例总数的最大份额(69%)来自巴尔瑙尔、比亚斯克、鲁布佐夫斯克、扎林斯克和新阿尔泰斯克等城市,这些城市的特点是二氧化硫排放量和人口密度最大。阿尔泰边疆区 ARI 发病率的另一个原因(共占 8%)是 7 个二氧化硫排放量最高的农村地区。无论ARI和CAP的发病率排名如何,在被选中进行研究的10个地区中,有9个地区的患者体内有烧伤梭菌和/或西伯利亚鼠抗体的检测和诊断滴度。同时,这些地区的柯西氏菌病病例已有 12 年未登记,而 STT 的病例数远远少于根据西伯利亚鼠血清反应阳性且有急性呼吸道感染症状的患者比例推算出的可能病例数。在 203 份受检样本中,有 5 份检出了 SARS-CoV-2 的 IgM,在 203 份受检样本中,有 188 份检出了 SARS-CoV-2 的 IgG,此外,13.8% 的样本的 BAU 值在 118 至 499 之间/毫升,40.9% 的样本的 BAU 值在 500 至 5000 之间/毫升,其余样本的 BAU 值在 5000 以上/毫升。结论在本研究分析的所有变量中,多年来在 AK 登记的急性呼吸道感染高发病率的形成过程中起最大作用的是二氧化硫排放的高空气污染水平、高人口密度,尤其是它们的结合。蜱传立克次体病和柯西菌病的诊断率低尤为重要,原因是没有用于实验室验证的检测试剂盒。从 2020 年开始,一种新的冠状病毒感染对登记的急性呼吸道感染发病率有一定的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Causes and Conditions for the Formation of a High Incidence of Acute Respiratory Infections in the Population of the Altai Krai (Part 2. Environmental factors, diagnosis of coxiellosis and tick­borne rickettsiosis)
Relevance. Altai Krai (AK) is one of the least prosperous subjects of the Russian Federation in terms of the incidence of acute respiratory infections (ARI). Results of studying long-term and intra-annual dynamics of the incidence of ARI and community-acquired pneumonia (CAP) in various population groups of the AK in 2011–2021 led to a conclusion about possible connection between the characteristics of the epidemic process of ARI and environmental factors, primarily air pollution, as well as the widespread distribution of natural and atropurgic foci of tick-borne transmissible and zoonotic infections in the territory of the AK, along with the problems of diagnostics. Aim. Assessment of the possible influence of environmental factors on the formation of a high level of registered incidence of ARI in the Altai Territory, as well as diagnostics of some natural focal and zoonotic infections with fever and respiratory symptoms. Materials and methods. A retrospective epidemiological study was conducted based on annual and monthly official statistical reporting during 2011–2021 about the morbidity of the population, demographic and environmental features of the territory of the AK for each of the municipalities (MU), the average long-term incidence rates of ARI, VBP, tuberculosis, Siberian tick typhus (STT), ixodid tick-borne borreliosis, tick-borne viral encephalitis were calculated; appeals of the population regarding tick bites; population density and annual average sulfur dioxide (SO2) emissions. Pearson correlation coefficient was used to assess the strength of the relationship between the analyzed indicators; and seasonality coefficients and the method of trend-seasonal decomposition were used to assess the intra-annual dynamics of the incidence of ARI and CAP (for the period 2011-2019). To study seroprevalence of antibodies to C. burnetii, R. sibirica and SARS-CoV-2 in febrile patients with symptoms of ARI blood samples were collected in October 2022 from ten rural districts of the AK. Results and discussion. It was established that there was a significant direct correlation between the incidence of ARI and the amount of SO2 emissions into the atmosphere (r = 0.61, p < 0.001), as well as between the incidence of ARI and population density (r = 0.53, p < 0.001). The largest share (69%) of the total number of ARI cases in the Altai Territory in 2011–2021 was attributed to the cities of Barnaul, Biysk, Rubtsovsk, Zarinsk and Novoaltaisk, which are characterized by maximum SO2 emissions and population density. An additional contribution (8% total) to the incidence of ARI in the Altai Territory was attributed to 7 rural areas with the highest levels of SO2 emissions. Regardless of the ranking for the incidence of ARI and CAP, in 9 out of 10 areas selected for the study, patients had both anamnestic and diagnostic titers of antibodies to C. burnetii and/or R. sibirica. At the same time, coxiellosis cases in these areas were not registered for 12 years, and the number of cases of STT was much less than the probable number based on the proportion of patients which were seropositive to R. sibirica and had symptoms of ARI. IgM to SARS-CoV-2 were detected in 5 out of 203 examined samples, IgG – in 188 out of 203 examined samples, moreover 13.8% of samples had 118 to 499 BAU/ml, 40.9% of samples had 500 to 5000 BAU/ml, and the rest of samples had more than 5000 BAU/ml. Conclusion. Among all the variables analyzed in the study, the greatest role in the formation of the high level of registered incidence of ARI in the AK for many years belong to the high level of air pollution with SO2 emissions, high population density and, especially, their combination. Underdiagnosis of tick-borne rickettsioses and coxiellosis is of particular importance due to the unavailability of test kits for laboratory verification. Starting from 2020, a new coronavirus infection made some contribution to the registered incidence of ARI.
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