Tools for detecting a “superbug”: updates on Candida auris testing

Candida auris is an emerging yeast species that has the unique characteristics of patient skin colonization and rapid transmission within healthcare facilities and the ability to rapidly develop antifungal resistance. When C. auris first started appearing in clinical microbiology laboratories, it could only be identified using DNA sequencing. In the decade since its first identification outside of Japan there have been many improvements in the detection of C. auris . These include the expansion of MALDI-TOF databases to include C. auris , the development of both laboratory-developed tests and commercially available kits for its detection, and special CHROMagar for identification from laboratory specimens. Here we discuss the current tools and resources that are available for C. auris identification and detection.

Homologous or Heterologous Booster of Inactivated Vaccine Reduces SARS-CoV-2 Omicron Variant Escape from Neutralizing Antibodies

The massive and rapid transmission of SARS-CoV-2 has led to the emergence of several viral variants of concern (VOCs), with the most recent one, B.1.1.529 (Omicron), which accumulated a large number of spike mutations, raising the specter that this newly identified variant may escape from the currently available vaccines and therapeutic antibodies. Using VSV-based pseudovirus, we found that Omicron variant is markedly resistant to neutralization of sera form convalescents or individuals vaccinated by two doses of inactivated whole-virion vaccines (BBIBP-CorV). However, a homologous inactivated vaccine booster or a heterologous booster with protein subunit vaccine (ZF2001) significantly increased neutralization titers to both WT and Omicron variant. Moreover, at day 14 post the third dose, neutralizing antibody titer reduction for Omicron was less than that for convalescents or individuals who had only two doses of the vaccine, indicating that a homologous or heterologous booster can reduce the Omicron escape from neutralizing. In addition, we tested a panel of 17 SARS-CoV-2 monoclonal antibodies (mAbs). Omicron resists 7 of 8 authorized/approved mAbs, as well as most of the other mAbs targeting distinct epitopes on RBD and NTD. Taken together, our results suggest the urgency to push forward the booster vaccination to combat the emerging SARS-CoV-2 variants.

Potential of citrus extract as disinfectant in SARS-CoV-2 prevention

<p>SARS-CoV-2 is the virus that causes the COVID-19 disease, responsible for the second pandemic of the 21st century. This virus has caused a health emergency due to its rapid transmission and high mortality rate. The use of disinfectants of chemical origin has increased considerably to avoid contamination by SARS-CoV-2 but when used incorrectly they can pose a health risk. Citrus-based extracts have shown effectiveness in controlling the development of fungi and bacteria in<em> in vitro</em> and <em>in situ</em> studies. In <em>in vitro</em> cell assays, citrus extracts are effective in controlling the replication of disease-causing viruses. The objective of this review is to describe the problem of COVID-19, its transmission mechanisms, the use of chemical disinfectants and citrus extracts to control microorganisms and its suggested use as a complement in COVID-19 prevention. The use of citrus extracts has certain advantages such as biodegradability and low health risks. Thus, they could be a viable alternative to be used as a complement in the management and prevention of the spread of SARS-CoV-2.</p>

Health Disparities in COVID-19: Implications for Research, Policy, and Practice

The rapid transmission of COVID-19 has resulted in more than 100 million confirmed cases in over 200 countries and continues to have wide-community spread. Consistently, it has been reported that older adults are at a greater risk for requiring hospitalization or dying from the virus compared to younger adults and children. In fact, compared to those age 18-29, age 65-74 are five times more likely to be hospitalized and 90 times more likely to experience death. The risk increases exponentially with age. Individuals 85 and older are 13 times more likely to require hospitalization and 630 times more likely to die from the disease. The physical health-age correlation has permeated the media and many discussions concerning the pandemic. However, fewer discussions have centered on the interaction of age and social variables that further exacerbate COVID-19 related burden or mortality such as race/ethnicity, socioeconomic status, and limited access to healthcare. Therefore, this symposium will bring direct attention to COVID-19 related health disparities that compromise public health, discuss implications on future research, policy, and practice, and discuss opportunities to reduce the burden and mitigate health inequities. The symposium presenters will specifically address the impact of social support during COVID-19, disparities in the effects of social distancing on health status, the economic impact on health, cognitive decline among low-income older adults navigating a global pandemic, and factors associated with higher rates of hospitalizations among racial/ethnic diverse older adults.

Mask detection as Covid combat using Transfer learning and Haar Cascade

The World is going through a pandemic due to the rapid transmission of COVID-19. According to the several guidelines issued by WHO (World Health Organization), wearing a mask is the most effective preventive measure in public/crowded places. We hope for the future social health and safety of the people around the world with this project. To detect the people who are not following the COVID-19 guidelines in public/crowded areas a convolutional neural network under the framework of the TensorFlow VGG-19 algorithm is proposed which has trained and tested a collection of more than 1350 images. One flat layer and two FC layers with reduced parameters are optimized from three FC layers. The 2-label softmax classifier replaced the softmax classification layer of the original model. Our experimental results show a training accuracy of 99.73% and an accuracy of 98.78% during testing. Keywords: Transfer learning, covid19, mask detection, artificial intelligence, coronavirus

Coronavirus Diseases (COVID-19): Features, Epidemiology, Mutational variations and Treatments Across India

Coronaviruses are a group of enveloped viruses with a longer, undivided single-stranded RNA genome, which cause diseases in a variety of animals and humans. In addition to infecting other economically important animals (such as pigs or chickens), six coronaviruses are known to infect human hosts, causing respiratory illness. Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) are highly pathogenic animal coronaviruses that have produced local, regional, and worldwide outbreaks. It is suspected that the current pandemic, caused by a similar coronavirus (SARS-CoVID-19). A new variant of B.1.617 lineage that causes worry about many countries has been identified first in the UK but it makes the worst scenario in India. This includes mutants with immune prolapse E484K and N501Y mutations. Some new variants recently discovered in India like double & triple mutation due to some specific climatic and environmental conditions. Because it creates a viral exodermis and contacts human cells due to mutations in peplomer proteins. The other type of protein is spike protein, are required to bind to receptors in human cells mutations. It can improve the affinity for human receptors and increase the virus, they can cause immune prolapse and reinfection. Moreover, these viruses are capable of adapting and mutating to the new environment. Our immune system is unable to distinguish them from previous infections due to changes in the structure of proteins. The rapid transmission of the COVID-19 around the world causing a severe mortality rate depends on mutation on their spike protein.

Phylogenetic and full-length genome mutation analysis of SARS-CoV-2 in Indonesia prior to COVID-19 vaccination program in 2021

Background Indonesia has started the big project of COVID-19 vaccination program since 13 January 2021 by employing the first shot of vaccine to the President of Indonesia as the outbreak and rapid transmission of COVID-19 have endangered not only Indonesian but the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as of 12 January 2021. Results All data of the isolates were extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver platform was employed to investigate the full-length genome mutation analysis of all isolates. This study also focused on the phylogeny analysis in unlocking the mutation of S protein in Indonesian SARS-CoV-2 isolates. WIV04 isolate that was originated from Wuhan, China was used as the virus reference according to the CoVsurver default. The result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully generated. Every single mutation in S protein was described and then visualized by utilizing BioRender platform. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates. Conclusions To sum up, this study helped to observe the spread of COVID-19 transmission. However, it also proposed that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.

Mechanisms of Resistance to Macrolide Antibiotics among Staphylococcus aureus

Methicillin resistant Staphylococcus aureus strains pose a serious treatment problem because of their multi-drug resistance (MDR). In staphylococcal strains, resistance to macrolides, lincosamides, and streptogramin B (MLSB) correlates with resistance to methicillin. The rapid transmission of erm genes responsible for MLSB resistance has strongly limited the clinical application of traditional macrolides such as erythromycin. On the other hand, in the age of increasing insensitivity to antibiotics the idea of implementing a therapy based on older generation drugs brings hope that the spread of antibiotic resistance will be limited. A thorough understanding of the resistance mechanisms contributes to design of antibiotics that avoid bacterial insensitivity. This review highlights the mechanisms of action of macrolides and mechanism of resistance to these antibiotics among Staphylococcus aureus.

EFEKTIVITAS PENGGUNAAN APLIKASI GOOGLE MEET SEBAGAI MEDIA PEMBELAJARAN ONLINE PADA MAHASISWA SAAT PANDEMI COVID-19

Covid-19 is a virus that was first discovered in the city of Wuhan, China at the end of 2019. Its rapid transmission made the WHO declare the Covid-19 outbreak a global pandemic. This prompted the Minister of Education, Culture, Research and Technology of the Republic of Indonesia, Nadiem Anwar Makarim, to issue circular letter number 4 of 2020 concerning the Implementation of Education in the Coronavirus Disease (Covid-19) Emergency Period. Learning must be carried out online. Online learning is learning that is carried out virtually in their respective homes. The application that is often used by lecturers and students in carrying out online learning is Google Meet. The purpose of this study is to find out how effective online learning is using Google Meet. The research method used is descriptive quantitative with a non-test instrument, namely interviews. The results obtained are that online learning using the Google Meet application has been effective in delivering material during the Covid-19 pandemic. Using the Google Meet application as an online learning medium has various advantages, namely a) it is easier to use, b) does not suck up a lot of internet quota, c) does not require a signal that is always stable, sometimes in up-and-down signal conditions can still follow learning, and d) the available features are easy to understand how to use