An Approach to Track and Analyze the Trend of Antimicrobial Resistance Using Python: A Pilot Study for Anand, Gujarat, India-May 2022-August 2023.

IF 2.3 4区医学 Q3 INFECTIOUS DISEASES Microbial drug resistance Pub Date : 2024-01-01 Epub Date: 2023-12-28 DOI:10.1089/mdr.2023.0057

Priyanshu Khound, Himanshu Pandya, Rupal Patel, Naimika Patel, Siddhi A Darji, Purvi Trivedi, Vandan Mehta, Avani Raulji, Devjani Banerjee

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Abstract

The present work deals with the analysis and monitoring of bacterial resistance in using Python for the state of Gujarat, India, where occurrences of drug-resistant bacteria are prevalent. This will provide an insight into the portfolio of drug-resistant bacteria reported, which can be used to track resistance behavior and to suggest a treatment regime for the particular bacteria. The present analysis has been done using Python on Jupyter Notebook as the integrated development environment and its data analysis libraries such as Pandas, Seaborn, and Matplotlib. The data have been loaded from excel file using Pandas and cleaned to transform features into required format. Seaborn and Matplotlib have been used to create data visualizations and represent the data inexplicable manner using graphs, plots, and tables. This program can be used to study disaster epidemiology, tracking, analyzing, and surveillance of antimicrobial resistance with a proper system integration approach.

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使用 Python 跟踪和分析抗菌药耐药性趋势的方法：印度古吉拉特邦阿南德试点研究--2022 年 5 月至 2023 年 8 月。

本研究使用 Python 对印度古吉拉特邦的细菌耐药性进行分析和监测。这将有助于深入了解所报告的耐药细菌组合，可用于跟踪耐药行为并提出针对特定细菌的治疗方案。本分析使用 Jupyter Notebook 上的 Python 作为集成开发环境，并使用 Pandas、Seaborn 和 Matplotlib 等数据分析库。数据使用 Pandas 从 excel 文件加载，并经过清理将特征转换为所需格式。Seaborn 和 Matplotlib 用于创建数据可视化，并使用图形、绘图和表格以难以理解的方式表示数据。通过适当的系统集成方法，该程序可用于研究灾害流行病学、抗菌药耐药性的跟踪、分析和监控。

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来源期刊

Microbial drug resistance 医学-传染病学

CiteScore

6.00

自引率

3.80%

发文量

118

审稿时长

6-12 weeks

期刊介绍： Microbial Drug Resistance (MDR) is an international, peer-reviewed journal that covers the global spread and threat of multi-drug resistant clones of major pathogens that are widely documented in hospitals and the scientific community. The Journal addresses the serious challenges of trying to decipher the molecular mechanisms of drug resistance. MDR provides a multidisciplinary forum for peer-reviewed original publications as well as topical reviews and special reports. MDR coverage includes: Molecular biology of resistance mechanisms Virulence genes and disease Molecular epidemiology Drug design Infection control.