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1.
Ccs Chemistry ; 3(1):1501-1528, 2021.
Article in English | Web of Science | ID: covidwho-1887435

ABSTRACT

Coronavirus disease 2019 (COVID-19) is caused by a novel strain of coronavirus, designated as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has caused a global pandemic rapidly sweeping across all countries, bringing social and economic hardship to millions. Most countries have implemented early warning measures to detect, isolate, and treat patients infected with SARS-CoV-2. This minireview summarizes some of those steps, in particular, testing methods and drug development in the context of chemical biology, and discusses the molecular basis of COVID-19's virulent transmissibility.

2.
Ieee Sensors Journal ; 21(19):22047-22057, 2021.
Article in English | Web of Science | ID: covidwho-1467503

ABSTRACT

The highly infectious and serious nature of coronavirus disease 2019 (COVID-19) has highlighted the need for hospital space disinfection technology and the prevention of human exposure to pathogenic environments. This research developed novel chlorine dioxide (ClO2) sterilization technology to reduce bacteria and viruses in the air and on surfaces. A smart sterilization robot system was also developed to spray disinfectants in operating theaters or patients' rooms, designed according to the results of controlled experiments and the requirements for hospital disinfection. The system was built incorporated a semi-automatic remote-controlled module and an automatic intelligent disinfection function;that is, it could operate independently according to specific epidemic prevention strategies, which were implemented using a combination of Internet of Things (IoT) applications and a gesture recognition function. The elimination of Escherichia coli (E. coli) bacteria on sample plates was 99.8 % effective. This paper reviews the evolution of various disinfection technologies and describes a disinfection robot system in detail.

3.
China Cdc Weekly ; 3(2):21-24, 2021.
Article in English | Web of Science | ID: covidwho-1340002

ABSTRACT

What is already known about this topic? The World Health Organization has estimated the impact of reductions in the performance of global tuberculosis (TB) detection and care on TB deaths. However, the actual impact of COVID-19 pandemic on TB deaths in China remains unclear. What is added by this report? The stringent public interventions to fight COVID-19 including lockdown led to more than 20% decrease of TB detection in China. It was predicted that the reduction of TB detection might result in 11,700 excess deaths based on assumption of no detection rebound. Based on the prediction the total deaths will be 51,100 in 2020 which might surpass the deaths in 2011. What are the implications for public health practice? Rapid restoration of TB diagnosis and care services is critical for minimizing the potential effects on TBrelated deaths and bringing TB burden back to control. It is urgent to ramp up case detection including active case finding and to provide an uninterrupted supply of quality-assured treatment and care for TB cases in postCOVID-19 outbreak.

4.
Lect. Notes Comput. Sci. ; 12555 LNCS:367-372, 2020.
Article in English | Scopus | ID: covidwho-986443

ABSTRACT

Information and communication technology (ICT) has been widely accepted in education since the COVID-19 outbreak. Today, the convenience that ICT provides in education makes learning independent of time and place. However, compared to face-to-face learning, ICT online learning has the difficulty of finding student questions efficiently. One of the ways to solve this problem is through finding their questions from the online discussion content. With online learning, teachers and students usually send out questions and receive answers on a discussion board without the limitations of time or place. However, because liquid learning is quite convenient, people tend to solve problems in short online texts with a lack of detailed information to express ideas in an online environment. Therefore, the ICT online education environment may result in misunderstandings between teachers and students. For teachers and students to better understand each other’s views, this study aims to classify discussions into a hierarchical structure, named a question map, with several types of learning questions to clarify the views of teachers and students. In addition, this study attempts to extend the description of possible omissions in short texts by using external resources prior to classification. In brief, by applying short text hierarchical classification, this study constructs a question map that can highlight each student’s learning problems and inform the instructor where the main focus of the future course should be, thus improving the ICT education environment. © 2020, Springer Nature Switzerland AG.

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