COVID-19 RARELY INFECTS THROUGH SURFACES. SO WHY ARE WE STILL DEEP CLEANING?

Lewis Dyani

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COVID-19 RARELY INFECTS THROUGH SURFACES. SO WHY ARE WE STILL DEEP CLEANING?

机译：Covid-19很少通过表面感染。那么为什么我们仍然深入清洁？

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The coronavirus behind the pandemic can linger on doorknobs and other surfaces, but these aren't a major source of infection.The coronavirus behind the pandemic can linger on doorknobs and other surfaces, but these aren't a major source of infection.

机译：大流行病背后的冠状病毒可以在门把手和其他表面上徘徊，但这些不是感染的主要来源。大流行后的冠状病毒可以在门把手和其他表面上徘徊，但这些不是一种主要感染来源。

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《Nature》 |2021年第7844期|26-28|共3页
作者
Lewis Dyani;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种 eng
中图分类
关键词
SARS-CoV-2; Epidemiology; Virology;

机译：SARS-COV-2;流行病学;病毒学;

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专利

1. Deep-Cleaning Products and Services to Fight COVID-19 [J] . Railway Age . 2021,第3期

机译：对抗Covid-19的深层清洁产品和服务
2. Sandia Rad-Hardened Electronics Lab Reopens After Deep Cleaning From COVID-19 Case [J] . Dan Leone Defense Daily . 2020,第May8期

机译：从COVID-19机箱进行深度清洁后，Sandia Rad-Hardened电子实验室重新开放
3. Infections in Pregnancy With COVID-19 and Other Respiratory RNA Virus Diseases Are Rarely, If Ever, Transmitted to the Fetus Experiences With Coronaviruses, Parainfluenza, Metapneumovirus Respiratory Syncytial Virus, and Influenza [J] . Schwartz David A., Dhaliwal Amareen Archives of pathology & laboratory medicine . 2020,第8期

机译：妊娠与Covid-19和其他呼吸道病毒疾病的感染很少，如果有的话，转向胎儿的经历，与冠状病毒，Parainfluenza，Metapneumovirus呼吸道合胞病毒和流感
4. Detecting COVID-19 infected pneumonia from X-ray images using a deep learning model with image preprocessing algorithm [C] . Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Conference on Medical Imaging: Computer-Aided Diagnosis . 2021

机译：使用具有图像预处理算法的深层学习模型，从X射线图像检测Covid-19感染的肺炎
5. Analysis of near-surface flow measurements beneath clean and contaminated wind-driven water surfaces. [D] . Jokardris, Mandana. 2005

机译：在干净和受污染的风力水面下进行近地表流量测量分析。
6. Infectivity Upsurge by COVID-19 Viral Variants in Japan: Evidence from Deep Learning Modeling [O] . Essam A. Rashed, Akimasa Hirata 2021

机译：Covid-19日本病毒变体的感染性升高：来自深度学习建模的证据
7. LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework [O] . Vivek Kumar Singh, Mohamed Abdel-Nasser, Nidhi Pandey, 2021

机译：LUNGINFSEG：基于接受场意识的深度学习框架，在肺CT图像中分割Covid-19感染区域
8. Characterization of Low Pressure Cold Plasma in the Cleaning of Contaminated Surfaces. [R] . Lanz, D. G., Hintze, P. E. 2016

机译：低压冷等离子体在污染表面清洗中的表征。

COVID-19 RARELY INFECTS THROUGH SURFACES. SO WHY ARE WE STILL DEEP CLEANING?

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