Viruses are biologically active parasites that only exist inside a host they are submicroscopic level. The novel coronavirus disease, or COVID-19, is generally caused by the SARS-CoV-2 virus and is comparable to severe acute respiratory syndrome (SARS). As a result of globalization, natural alterations or changes in the SARS-CoV-2 have created significant risks to human health over time. These viruses can live and survive in different ways in the atmosphere unless they reach another host body. At this stage, we will discuss the details of the transmission and detection of this deadly SARS-CoV-2 virus via certain environmental media, such as the atmosphere, water, air, sewage water, soil, temperature, relative humidity, and bioaerosol, to better understand the diffusion, survival, infection potential and diagnosis of COVID-19.

Nitric oxide (NO) is a gasotransmitter of great significance to developing the innate immune response to many bacterial and viral infections, while also modulating vascular physiology. The generation of NO from the upregulation of endogenous nitric oxide synthases serves as an efficacious method for inhibiting viral replication in host defense and warrants investigation for the development of antiviral therapeutics. With increased incidence of global pandemics concerning several respiratory-based viral infections, it is necessary to develop broad therapeutic platforms for inhibiting viral replication and enabling more efficient host clearance, as well as to fabricate new materials for deterring viral transmission from medical devices. Recent developments in creating stabilized NO donor compounds and their incorporation into macromolecular scaffolds and polymeric substrates has created a new paradigm for developing NO-based therapeutics for long-term NO release in applications for bactericidal and blood-contacting surfaces. Despite this abundance of research, there has been little consideration of NO-releasing scaffolds and substrates for reducing passive transmission of viral infections or for treating several respiratory viral infections. The aim of this review is to highlight the recent advances in developing gaseous NO, NO prodrugs, and NO donor compounds for antiviral therapies; discuss the limitations of NO as an antiviral agent; and outline future prospects for guiding materials design of a next generation of NO-releasing antiviral platforms.

UNASSIGNED: Increasing manpower capacity to meet the demands in the healthcare system is important during health emergencies. Medical students have roles to play during a pandemic but their involvement in these duties should be voluntary. The objective of this study was to assess the willingness and motivations of final year medical students in Lagos, Nigeria towards volunteering during the COVID-19 pandemic.
UNASSIGNED: A descriptive cross-sectional study was conducted among medical students in their sixth (final) year of study at the two public Universities in Lagos, Nigeria using total population sampling technique. A web-based questionnaire was used for data collection and data were analysed using SPSS. Logistic regression analysis was used to predict the willingness to volunteer.
UNASSIGNED: The mean age of the respondents was 23.4 years ± 2.6SD and 62.6% were female. About 65.9% of the medical students were willing to volunteer. Motivational factors which include self-rated good health status [OR: 2.1(95%CI: 1.16-3.6)], self-rated competence to work as a COVID-19 volunteer [OR: 6.5(95%CI: 3.61-11.54)] and availability of adequate protection and personal protective equipment [OR: 3.3(95%CI: 1.74-6.33)] significantly increased the odds of willingness to volunteer after controlling for other variables. Respondents\' opinions on settings where medical students can serve as volunteers during the COVID-19 pandemic include case management (21.7%) and telemedicine (85.8%).
UNASSIGNED: Medical students are willing to volunteer during the COVID-19 pandemic. There is a need to prepare and motivate the final year medical students by developing their skills to improve their competence and by providing adequate protection for the willing students to function as volunteers.

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This study aimed to investigate the Chinese pregnant women\'s levels of knowledge, attitude, and practice (KAP) of self-protection against coronavirus disease 2019 (COVID-19) during the post-pandemic period, to aid the development of targeted health education. An online questionnaire was conducted for 2156 Chinese pregnant women from October 1, 2021, to December 31, 2021, to collect socio-demographic and KAP information. Structural equation modeling (SEM) was used to determine self-protection-related factors. The mean age of the participants was 30 ± 4.1 years. SEM indicated that pregnant women\'s level of knowledge can directly and indirectly affect the practice of self-protection (r = 0.23) through their belief, with a correlation coefficient of 0.56 and 0.46 between knowledge and belief and belief and practice, respectively. The \"basic protection\" and \"hospital visits after infection\" exerted the greatest impact on knowledge formation, with correlation coefficients of 0.85 and 0.89, respectively. Attitude had a direct effect on practice with a correlation coefficient of 0.46. \"Awareness of prevention and control\" and \"family and social support\" had the greatest impact on belief formation, with correlation coefficients of 0.77 and 0.73, respectively. Pregnant Chinese women were generally familiar with COVID-19 knowledge, and their levels of knowledge and beliefs particularly affect the practice of self-protection. Health education aimed at improving pregnant women\'s knowledge and belief toward self-protection against COVID-19 may be an effective way to guide them toward positive practices and promote their health and that of their babies.

As the world has been facing several deadly virus crises, including Zika virus disease, Ebola virus disease, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and Coronavirus disease 2019 (COVID-19), lateral flow assays (LFAs), which require minimal equipment for point-of-care of viral infectious diseases, are garnering much attention. Accordingly, there is an increasing demand to reduce the time and cost required for manufacturing LFAs. The current study introduces an equipment-free method of salt-mediated immobilization of nucleic acids (SAIoNs) for LFAs. Compared to general DNA immobilization methods such as streptavidin-biotin, UV-irradiation, and heat treatment, our method does not require special equipment (e.g., centrifuge, UV-crosslinker, heating device); therefore, it can be applied in a resource-limited environment with reduced production costs. The immobilization process was streamlined and completed within 30 min. Our method improved the color intensity signal approximately 14 times compared to the method without using SAIoNs and exhibited reproducibility with the long-term storage stability. The proposed method can be used to detect practical targets (e.g., SARS-CoV-2) and facilitates highly sensitive and selective detection of target nucleic acids with multiplexing capability and without any cross-reactivity. This novel immobilization strategy provides a basis for easily and inexpensively developing nucleic acid LFAs combined with various types of nucleic acid amplification.

UNASSIGNED: To explore the characteristics of hallucinations in hospitalized rehabilitation patients with COVID-19.
UNASSIGNED: Retrospective review using medical records of patients with COVID-19 and admitted to the acute inpatient rehabilitation unit (ARU).
UNASSIGNED: A public hospital in southern California, specializing in rehabilitation medicine. Participants: Patients with COVID-19 and hallucinations who were consecutively admitted from January 1st to April 30th, 2021.
UNASSIGNED: Not applicable.
UNASSIGNED: Types and themes of hallucinations.
UNASSIGNED: Eight of the 37 patients (21.6%) admitted to the ARU with COVID-19 exhibited hallucinations. All were Hispanic and 7 of them were men; their average age was 56.5 (range: 38-71). Seven patients had COVID-19 pneumonia and 1 developed respiratory distress secondary to Guillain-Barre Syndrome. One patient had posterior reversible encephalopathy syndrome. The average length of stay in the intensive care unit (ICU) was 31.3 days (range: 8-48). Most of the hallucinations occurred during their ICU stay and 2 continued to their ARU stay. All recalled details of hallucinations with 7 exhibiting visual hallucinations, consistent with peduncular hallucinosis with or without auditory and/or tactile components. One patient experienced tactile hallucinations. The themes of hallucinations identified to reflect the contents of the hallucinations were patients\' comfort-seeking, fearfulness, and seeing deceased family members. All patients had impaired cognition at the ARU admission but improved at discharge. Four patients had depressed mood/anxiety and 1 had depressed mood alone but without a history of psychiatric illness. ICU delirium was documented in 5 patients. The negative experience of hallucinations seemed to affect their participation of the ARU stay.
UNASSIGNED: More than 20% of patients with COVID-19 who were transferred to attend inpatient rehabilitation exhibited hallucinations. It remains uncertain if these hallucinations were related to the SARS-CoV-2 infection. Multidisciplinary rehabilitation team should be aware to support patients with COVID-19 who experience hallucinations.

At the end of 2019, Wuhan, China, experienced an outbreak of a novel coronavirus. The SARS-CoV2 epidemiologic burden was constantly evolving, with numbers of infected persons, hospital admissions and deaths growing near exponentially. The pandemic outbreak of COVID-19 worldwide caught the health care systems in every country by storm and without a proper defense mechanism to cope and control such a pandemic, causing an overwhelming burden of illnesses that stressed the Health System capacity. In this context, telemedicine has been promoted and scaled up to reduce the risk of transmission. During the \"lockdown\", the AOU \"Federico II\" was forced to create peculiar pathways to ensure the safety of the patients and medical staff, and to keep an appropriate medical assistance, therefore it was introduced the telemedicine, wherever possible, by modifying the Information Technology (IT) related to the waiting times, rescheduling all booked visits and identifying several outpatient clinics suitable for telemedicine activities. In this paper the Authors reports their own experience with Telemedicine.

With severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as an emergent human virus since December 2019, the world population is susceptible to coronavirus disease 2019 (COVID-19). SARS-CoV-2 has higher transmissibility than the previous coronaviruses, associated by the ribonucleic acid (RNA) virus nature with high mutation rate, caused SARS-CoV-2 variants to arise while circulating worldwide. Neutralizing antibodies are identified as immediate and direct-acting therapeutic against COVID-19. Single-domain antibodies (sdAbs), as small biomolecules with non-complex structure and intrinsic stability, can acquire antigen-binding capabilities comparable to conventional antibodies, which serve as an attractive neutralizing solution. SARS-CoV-2 spike protein attaches to human angiotensin-converting enzyme 2 (ACE2) receptor on lung epithelial cells to initiate viral infection, serves as potential therapeutic target. sdAbs have shown broad neutralization towards SARS-CoV-2 with various mutations, effectively stop and prevent infection while efficiently block mutational escape. In addition, sdAbs can be developed into multivalent antibodies or inhaled biotherapeutics against COVID-19.

UNASSIGNED: When diagnosing Coronavirus disease 2019(COVID-19), radiologists cannot make an accurate judgments because the image characteristics of COVID-19 and other pneumonia are similar. As machine learning advances, artificial intelligence(AI) models show promise in diagnosing COVID-19 and other pneumonias. We performed a systematic review and meta-analysis to assess the diagnostic accuracy and methodological quality of the models.
UNASSIGNED: We searched PubMed, Cochrane Library, Web of Science, and Embase, preprints from medRxiv and bioRxiv to locate studies published before December 2021, with no language restrictions. And a quality assessment (QUADAS-2), Radiomics Quality Score (RQS) tools and CLAIM checklist were used to assess the quality of each study. We used random-effects models to calculate pooled sensitivity and specificity, I2 values to assess heterogeneity, and Deeks\' test to assess publication bias.
UNASSIGNED: We screened 32 studies from the 2001 retrieved articles for inclusion in the meta-analysis. We included 6737 participants in the test or validation group. The meta-analysis revealed that AI models based on chest imaging distinguishes COVID-19 from other pneumonias: pooled area under the curve (AUC) 0.96 (95 % CI, 0.94-0.98), sensitivity 0.92 (95 % CI, 0.88-0.94), pooled specificity 0.91 (95 % CI, 0.87-0.93). The average RQS score of 13 studies using radiomics was 7.8, accounting for 22 % of the total score. The 19 studies using deep learning methods had an average CLAIM score of 20, slightly less than half (48.24 %) the ideal score of 42.00.
UNASSIGNED: The AI model for chest imaging could well diagnose COVID-19 and other pneumonias. However, it has not been implemented as a clinical decision-making tool. Future researchers should pay more attention to the quality of research methodology and further improve the generalizability of the developed predictive models.