Analysis of the Relationship between the Resistance Rate of Erythromycin-Resistant Streptococcus Pneumoniae and the Environment --Climate, Food and Demographic Factors: A Comprehensive Analysis of 31 Provinces in China

Abstract

Objective: To explore the relationship between the resistance rate of erythromycin-resistant Streptococcus pneumoniae and China's meteorological, dietary, and demographic factors, establish a robust regression prediction model, and identify relevant risk factors.

Methods: Data on drug resistance rates, detection rates, meteorology, diet, and population institutions (2014-2021) were obtained by searching the China Antimicrobial Resistance Monitoring System and the China Statistical Yearbook. Our analytical arsenal included nonparametric tests and the construction of multifaceted regression models for rigorous multivariate analysis.

Results: The results of the single-factor analysis showed significant differences in the resistance rate and detection rate of erythromycin-resistant Streptococcus pneumoniae under different Hu Huanyong lines or different climate types. Multivariate regression analysis showed that the drug resistance rate was positively correlated with temperature, subtropical climate, GDP, and Hu Huanyong line; the detection rate was positively correlated with rGDP; and negatively correlated with monsoon climate. The final prediction model could explain 33.3% of the drug resistance rate and the detection rate was 22.8%. The resistance rate of erythromycin-resistant Streptococcus pneumoniae was positively correlated with the population mortality rate and negatively correlated with the natural population growth rate.

Conclusion: The prediction model designed in this article is of great value for predicting the resistance rate of erythromycin-resistant Streptococcus pneumoniae based on my country's complex meteorological conditions and climate distribution and revealing its intrinsic relationship with population mortality and dietary factors. These findings provide important insights into addressing the global challenge of bacterial resistance and deserve serious consideration by the scientific community and policymakers.

Note:
Funding declaration: This research was funded by the Hunan Medical Association [NO. HMA202001002] and the Health Commission of Hunan Provincial [NO. 202113012480].

Conflict of Interests: All authors declare no competing interests.

Keywords: Keyword: drug resistance rate, climate, geographical distribution, erythromycin-resistant Streptococcus pneumoniae, China