利用废水中的环境微生物指标来进行数据驱动的疾病诊断
Gayatri Gogoi1,2, Sarangthem Dinamani Singh1,2, Devpratim Koch1,2
1Centre for Infectious Diseases, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, India.
Frontiers in bioengineering and biotechnology
|December 10, 2024
概括
水质和季节性等环境因素对废水中的SARS-CoV-2水平产生重大影响. 基于废水的监测 (WBS) 揭示了将这些情况与不同地点的病毒流行联系在一起的独特模式.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 病毒学 病毒学
背景情况:
- 基于废水的监测 (WBS) 是监测SARS-CoV-2等传染病的一个有价值的工具.
- 环境因素可能会影响废水中病毒颗粒的流行.
- 了解这些影响对于有效的公共卫生监测至关重要.
研究的目的:
- 调查环境因素与废水中SARS-CoV-2发病率之间的关系.
- 分析28个监测地点的病毒流行季节和空间变化.
- 探索水质参数对SARS-CoV-2检测的影响.
主要方法:
- 从28个地点收集废水样本,考虑到季节和空间变化.
- 测量了物理化学参数,重金属和矿物质;使用RT-qPCR检测到SARS-CoV-2.
- 应用相关性分析和无监督学习 (K-means,K-medoid集群) 来识别模式.
主要成果:
- 集群分析显示,季节性和水质对SARS-CoV-2阳性率的显著影响.
- 四个不同的集群显示了环境因素和病毒流行率之间的不同关联.
- 聚类模式在各个地点不同,突出显示了病毒检测对环境的影响的多样性.
结论:
- 环境因素,包括水质和季节性,极大地影响了废水中SARS-CoV-2的动态.
- WBS与先进的数据分析相结合,为公共卫生监测提供了一个强大的框架.
- 洞察力增强了对与环境背景有关的疾病传播的理解.
更多相关视频
08:58Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
Published on: March 3, 2023
6.3K
12:14A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters
Published on: March 9, 2016
9.8K
相关概念视频
01:30Environmental Applications of Microorganisms
1
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
1
01:27Microbial Growth Measurement: Indirect Methods
Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...