犬粪便艰难梭菌携带率研究数据

艰难梭菌是一种革兰氏阳性的厌氧芽孢杆菌，广泛分布于人、动物的肠道和环境中。艰难梭菌感染是医院感染性腹泻的主要病原菌之一。艰难梭菌的宠物临床表现多样，从无症状携带菌，到不同程度的腹泻，可在人与宠物之间广泛传播，影响人类健康。了解犬粪便中艰难梭菌的携带率对于评估公共卫生风险具有重要意义，为疾病预防和控制提供科学依据，保障宠物及人类健康。犬粪便艰难梭菌携带率研究还可以为流行病学的研究提供数据支持，有助于确定中国本土区域宠物中艰难梭菌的本底流行水平，为判断后续可能出现的异常流行情况提供基线参照。1、数据采集：从宠物医院收集一批（500只）犬粪便样本，按照1-500的顺序进行样本编号，并对基础信息、临床资料进行分析调查。2、数据检测：对收集到的500只动物粪便样本分别进行16S微生物测序，按照16S微生物测序数据分析流程进行数据分析，在属水平上统计艰难梭菌检出量%，艰难梭菌检出量%大于0的样本检测结果标记为阳性，等于0 的检测结果标记为阴性。3、数据处理：① 统计阳性总数，平均携带率=阳性总数/样本总数；② 平均携带丰度%=AVERAGE(艰难梭菌检出量%)；③ 将艰难梭菌检出量%按照从小到大的顺序排序，Q97.5= 0.975(n + 1)位置（取整数）的检测数值，n为样本总数。4、数据应用：利用PYTHON收集群体样本艰难梭菌检出量%，用MATPLOTLIB将该数据画出拟合图，便于研究人员观察分析。5、数据分类分级：将计算出的艰难梭菌菌检出量%进行指标评价，分为“高、中、低“不同的类别和级别（艰难梭菌检出量%值大于Q97.5的为“高”，大于0且小于等于Q97.5为“中”，值为0的为“低”）。

Clostridioides difficile (C. difficile) is a Gram-positive anaerobic spore-forming bacillus widely distributed in the intestinal tracts of humans, animals and the environment. C. difficile infection is one of the main pathogens causing nosocomial infectious diarrhea. The clinical manifestations of C. difficile infection in pets are diverse, ranging from asymptomatic carriage to varying degrees of diarrhea, and it can spread widely between humans and pets, threatening human health. Understanding the carriage rate of C. difficile in canine feces is of great significance for assessing public health risks, providing scientific evidence for disease prevention and control, and safeguarding the health of both pets and humans. Such studies can also provide data support for epidemiological research, help determine the baseline prevalence of C. difficile in local pet populations in China, and offer a baseline reference for identifying potential abnormal outbreaks in the future.
1. Data Collection: A total of 500 canine fecal samples were collected from veterinary hospitals, numbered sequentially from 1 to 500, with basic information and clinical data collected and analyzed.
2. Data Detection: 16S rRNA microbial sequencing was performed on each of the 500 fecal samples, and data analysis was conducted following the standard 16S sequencing data analysis pipeline. The percentage of C. difficile detection was counted at the genus level. Samples with a detection percentage greater than 0 were marked as positive, while those with a detection percentage equal to 0 were marked as negative.
3. Data Processing: ① Count the total number of positive samples, and the average carriage rate = total positive samples / total number of samples; ② The average carrying abundance (%) = the average value of all C. difficile detection percentages; ③ Sort all C. difficile detection percentages in ascending order. Q97.5 refers to the detection value at the position of 0.975*(n+1) (rounded to the nearest integer), where n is the total number of samples.
4. Data Application: Collect the C. difficile detection percentages of the cohort samples using Python, and generate a fitted plot with Matplotlib to facilitate observation and analysis by researchers.
5. Data Classification and Grading: Evaluate the calculated C. difficile detection percentages and classify them into three categories: "high", "medium" and "low". Specifically, values greater than Q97.5 are classified as "high", values greater than 0 and less than or equal to Q97.5 are classified as "medium", and values equal to 0 are classified as "low".

搜集汇总

背景与挑战

背景概述

该数据集包含500条犬粪便样本的艰难梭菌检测记录，涵盖取样时间、检出量和携带率等关键字段，用于评估公共卫生风险和疾病预防。数据通过标准化算法处理，包括16S测序和统计分析，支持流行病学研究和基线参照。