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One of the simplest and most effective individual measures is to wear a mask to prevent the spread of respiratory droplets from carriers to healthy people and patients admitted to corona wards and their staff. This research aimed to investigate the contamination of internal and external surfaces of various masks used by patients and staff with SARS coronavirus, as well as the possibility of airborne transmission in Imam Khomeini Hospital, Ardabil. For this purpose, twenty-five staff members and ten patients participated voluntarily in this cross-sectional study. Sampling was performed using swaps on both sides (inside and outside) of various surgical masks, N-95, and filtering face piece FFP2 through standard methods in compliance with the relevant conditions and from a surface of at least 5 cm 2 . Next, the collected samples were immediately transferred to a laboratory and analyzed by real-time PCR method to detect the presence of SARS-CoV-2 virus after viral genome extraction. Based on the obtained results, from a total of 30 collected samples (25 of personnel masks plus 5 samples of hospitalized patients’ masks). A total of 60 masks were sampled. For every collected sample, the researchers studied both inside and outside of the mask. Upon analyzing the data, it was showed that 6 mask samples were positive for the presence of coronavirus. Nonetheless, all samples taken from both inside and outside of the personnel masks (N-95 and FFP2 types of masks) were negative. Among the 6 positive samples, four cases were related to the internal part, one case to the outer part of the three-layer surgical masks, and one to the outer part of the N-95 masks in hospitalized patients. As masks reduce the concentration of virus particles, they can play an important role in creating immunity.

In December 2019, all nations learnt about the emergence of a pandemic of coronavirus disease (COVID-19), induced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is a member of the β-coronavirus group. As SARS-CoV-2 has the potentiality of leading to life-threatening respiratory failure, its transmission routes need to be characterized. Yet , the possibility of airborne transmission is still debated. This study was performed to evaluate potential hospital indoor air viral quality in order to detect SARS-COV-2. For this purpose, an impinger method was used to monitor the SARS-COV-2 virus in the air. Thus, 33 samples were collected from 8 different hospital locations. The sampling time was between 50 and 60 min with a sampling flow rate of 28 L/min. Air samples were taken from 2 to 5 m away from the patients’ beds. Temperature, relative humidity, and CO 2 concentration were 28, 37, and 438 ppm, respectively. The results indicated that air samples which were 2 to 5 m away from the patients’ beds were negative for the presence of the virus. According to the obtained results, it is suggested that airborne transmission may not have much effect on this pandemic. However, as the patients with SARS-CoV-2 were hospitalized in rooms with negative air pressure, the results might have been negatively affected. Graphical abstract

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Objective: Chronic hepatitis B (CHB) virus infection is the most prevalent chronic liver disease and has become a serious threat to human health. In this study, we attempted to specify and predict several properties including physicochemical, mutation sites, B-cell epitopes, phosphorylation sites, N-link, O-link glycosylation sites, and protein structures of S protein isolated from Ahvaz. Materials and methods: Initially, hepatitis B virus DNA (HBV DNA) was extracted from five sera samples of untreated chronic hepatitis B patients. The full-length HBV genomes were amplified and then cloned in pTZ57 R/T vector. The full sequences of HBV were registered in the GenBank with accessions numbers (MK355500), (MK355501) and (MK693107-9). PROTSCALE, Expasy's ProtParam, immuneepitope, ABCpred, BcePred, Bepipred, Algpred, VaxiJen, SCRATCH, DiANNA, plus a number of online analytical processing tools were used to analyse and predict the preS/S gene of genotype D sequences. The present study is the first analytical research on samples obtained from Ahvaz. Results: We found major hydrophilic region (MHR) mutations at "a" determining region that included K122R, N131T, F134Y, P142L, and T126N mutations. Moreover, Ahvaz sequences revealed four sites (4, 112, 166, and 309) in the preS/S gene for N-glycosylation that could possibly be a potential target for anti-HBV therapy. Conclusion: In the present study, mutations were identified at positions T113S and N131T within the MHR region of S protein; these mutations can potentially decrease the effect of hepatitis B vaccination in vaccine recipients.

This study explored how a collaborative approach in teaching for disciplinary academic writing would influence the transfer of learning in postgraduate students with varied writing proficiency levels. A sample population of 58 medical students majoring in four different medical sci-

Background: It is ensured that nurses’ error reporting and disclosing improve services to patients and are considered a movement toward creating a culture of transparency in the healthcare system. Objectives: This study aimed to investigate the nurses' decisions on reporting and disclosing Medical Errors (MEs). Methods: This research followed a mixed-method embedded design that was performed in five hospitals in Iran in 2018. A total of 491 nurses participated in the quantitative phase of the study with stratified sampling, followed by a simple random sampling technique. Also, 22 nurses joined the qualitative phase. Data were collected using a researcher-made questionnaire and semi-structured interviews through a scenario-based method. Quantitative data analysis was performed using descriptive and analytical statistics by SPSS 21.0 and Expert Choice 10.0 software. The qualitative data were analyzed based on the content analysis approach. Results: The most important perceived barriers with the highest impact coincided with educational (57.17%) and motivational (56.77%) factors based on SEM analysis (ES: 1.33, SE: 0.16). Regression analysis showed that error-reporting mechanisms, educational factors, and reporting consequences were significantly associated with age, sex, and work experience (P-Value ≤0.05). Error scenarios were thematized into three categories: Error perception (including ambiguity and weakness in error definition, the severity of the error, unawareness of guidelines, deviation from standards, and untrained staff), error reporting (including ineffective reporting system, hesitation in reporting to a formal system, increased workload, improper reaction, punitive responses, and concerns about consequences), and error disclosure (including no disclosure, partial disclosure, and full disclosure). Conclusions: The obtained results contributed to a better understanding of the barriers to error reporting and disclosing. In addition, these results can help hospitals encourage error reporting and ultimately make organizational changes, which reduce the incidence of errors.