Environmental factors influencing the development and spread of resistance in erythromycin-resistant streptococcus pneumoniae.

IF 3.2 3区环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL

Environmental Geochemistry and Health Pub Date : 2024-11-07 DOI:10.1007/s10653-024-02264-0

Zhi-Hua Sun, Yi-Chang Zhao, Jia-Kai Li, Huai-Yuan Liu, Wei Cao, Feng Yu, Bi-Kui Zhang, Miao Yan

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引用次数: 0

Abstract

Bacterial drug resistance is becoming increasingly serious, this study aims to investigate the relationship between the resistance rate of erythromycin-resistant Streptococcus pneumoniae (SP) and reasons for the epidemic under complex geographical and climatic factors in China. Data spanning from 2014 to 2021, including drug resistance rates, isolate rates, meteorological variables, and demographic statistics, were collected from the China Antimicrobial Resistance Monitoring System, the China Statistical Yearbook and China Meteorological Website. Our analysis involved nonparametric tests and the construction of multifaceted regression models for rigorous multivariate analysis. Single-factor analysis revealed significant differences in the resistance rate and isolate rate of erythromycin-resistant SP across different regions characterized by Hu Huanyong lines or different climate types. Multivariate regression analysis indicated positive correlations between the drug resistance rate and temperature, Subtropical climate, Gross Domestic Product (GDP), Hu Huanyong line, and the highest temperature in the past period (Tm); the isolate rate showed a positive correlation with regional GDP and a negative correlation with monsoon climate. The model developed in this study provides valuable insights into the resistance rate and potential relationships of erythromycin-resistant SP under complex meteorological conditions in China.

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影响耐红霉素肺炎链球菌耐药性产生和传播的环境因素。

细菌耐药性问题日益严重，本研究旨在探讨在中国复杂的地理和气候因素下，耐红霉素肺炎链球菌（SP）的耐药率与流行原因之间的关系。我们从中国抗菌药物耐药性监测系统、《中国统计年鉴》和中国气象网收集了2014年至2021年的数据，包括耐药率、分离率、气象变量和人口统计数据。我们的分析包括非参数检验和构建多元回归模型，以进行严格的多变量分析。单因素分析表明，不同地区的胡焕庸品系或不同气候类型对红霉素耐药SP的耐药率和分离率存在显著差异。多变量回归分析表明，耐药率与气温、亚热带气候、国内生产总值（GDP）、胡焕庸系和过去一段时间的最高气温（Tm）呈正相关；分离率与地区 GDP 呈正相关，与季风气候呈负相关。本研究建立的模型为了解中国复杂气象条件下红霉素耐药 SP 的耐药率及其潜在关系提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Geochemistry and Health 环境科学-工程：环境

CiteScore

8.00

自引率

4.80%

发文量

279

审稿时长

4.2 months

期刊介绍： Environmental Geochemistry and Health publishes original research papers and review papers across the broad field of environmental geochemistry. Environmental geochemistry and health establishes and explains links between the natural or disturbed chemical composition of the earth’s surface and the health of plants, animals and people. Beneficial elements regulate or promote enzymatic and hormonal activity whereas other elements may be toxic. Bedrock geochemistry controls the composition of soil and hence that of water and vegetation. Environmental issues, such as pollution, arising from the extraction and use of mineral resources, are discussed. The effects of contaminants introduced into the earth’s geochemical systems are examined. Geochemical surveys of soil, water and plants show how major and trace elements are distributed geographically. Associated epidemiological studies reveal the possibility of causal links between the natural or disturbed geochemical environment and disease. Experimental research illuminates the nature or consequences of natural or disturbed geochemical processes. The journal particularly welcomes novel research linking environmental geochemistry and health issues on such topics as: heavy metals (including mercury), persistent organic pollutants (POPs), and mixed chemicals emitted through human activities, such as uncontrolled recycling of electronic-waste; waste recycling; surface-atmospheric interaction processes (natural and anthropogenic emissions, vertical transport, deposition, and physical-chemical interaction) of gases and aerosols; phytoremediation/restoration of contaminated sites; food contamination and safety; environmental effects of medicines; effects and toxicity of mixed pollutants; speciation of heavy metals/metalloids; effects of mining; disturbed geochemistry from human behavior, natural or man-made hazards; particle and nanoparticle toxicology; risk and the vulnerability of populations, etc.