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In the hospital, a limited number of COVID-19 test kits are available due to the spike in cases every day. For this reason, a rapid alternative diagnostic option should be introduced as an automated detection method to prevent COVID-19 spreading among individuals. This article proposes multi-objective optimization and a deep-learning methodology for the detection of infected coronavirus patients with X-rays. J48 decision tree method classifies the deep characteristics of affected X-ray corona images to detect the contaminated patients effectively. Eleven different convolutional neuronal network-based (CNN) models were developed in this study to detect infected patients with coronavirus pneumonia using X-ray images (AlexNet, VGG16, VGG19, GoogleNet, ResNet18, ResNet500, ResNet101, InceptionV3, InceptionResNetV2, DenseNet201 and XceptionNet). In addition, the parameters of the CNN profound learning model are described using an emperor penguin optimizer with several objectives (MOEPO). A broad review reveals that the proposed model can categorise the X-ray images at the correct rates of precision, accuracy, recall, specificity and F1-score. Extensive test results show that the proposed model outperforms competitive models with well-known efficiency metrics. The proposed model is, therefore, useful for the real-time classification of X-ray chest images of COVID-19 disease.

The role of airborne particles in the spread of severe acute respiratory syndrome coronavirus type 2 (SARS‐CoV‐2) is well explored. The novel coronavirus can survive in aerosol for extended periods, and its interaction with other viral communities can cause additional virulence and infectivity. This baseline study reports concentrations of SARS‐CoV‐2, other respiratory viruses, and pathogenic bacteria in the indoor air from three major hospitals (Sheikh Jaber, Mubarak Al‐Kabeer, and Al‐Amiri) in Kuwait dealing with coronavirus disease 2019 (COVID‐19) patients. The indoor aerosol samples showed 12–99 copies of SARS‐CoV‐2 per m3 of air. Two non‐SARS‐coronavirus (strain HKU1 and NL63), respiratory syncytial virus (RSV), and human bocavirus, human rhinoviruses, Influenza B (FluB), and human enteroviruses were also detected in COVID‐positive areas of Mubarak Al Kabeer hospital (MKH). Pathogenic bacteria such as Mycoplasma pneumonia, Streptococcus pneumonia and, Haemophilus influenza were also found in the hospital aerosols. Our results suggest that the existing interventions such as social distancing, use of masks, hand hygiene, surface sanitization, and avoidance of crowded indoor spaces are adequate to prevent the spread of SARS‐CoV‐2 in enclosed areas. However, increased ventilation can significantly reduce the concentration of SARS‐CoV‐2 in indoor aerosols. The synergistic or inhibitory effects of other respiratory pathogens in the spread, severity, and complexity of SARS‐CoV‐2 need further investigation.

Introduction: This study aimed to assess student awareness of the pandemic pdmH1N1, including the students' attitudes and perceptions about treatment, severity of disease and preventive measures. Methodology: A cross-sectional study was conducted among medical students of Dow University of Health Sciences, Karachi. The data were collected through a self-administered questionnaire and results were analyzed using SPSS version 16. Results: A total of 396 medical students participated in this study with a mean age of 21 (± 1.4). About 365 (92.2%) were unaware of pdmH1N1. It was identified as a viral disease by 339 (85.6%) students, and 282 (71.2%) students correctly identified it as a disease affecting humans and pigs. The most common source of knowledge was television by 259 (65.4%) respondents. Most common symptoms identified were fever by 287 (72.5%), sore throat by 169 (42.7%) and cough by 127 (32.1%). Regarding vaccine, 290 (73.2%) respondents replied that it is not available and 204 (51.5%) said there is no treatment available for pdmH1N1. In severity scale 162 (40.9%) students rated it as fatal disease. According to 205 (51.8%) respondents, avoiding close contact with sick people is an effective preventive measure followed by washing hands with soap 150 (37.1%). Conclusion: The awareness regarding pdmH1N1 was not adequate among students regarding disease transmission, preventive measures, vaccinations, and available treatment. As the pdmH1N1 has become a worldwide public health problem and Pakistan is at risk of outbreak, increased awareness would be a solution to avoid its spread and complications.

SUMMARYThis cross-sectional study was aimed at possible relationships between tobacco habits and selected behavior characteristics in an adult sample from India. Contemporaneous clinical examination comprised an intra-oral examination with specific emphasise to dental caries status in the form of DMFT (Decayed, Missing, and Filled Teeth) index. The study comprised 805 subjects in the age group from 30 to 69 years (72% of males and 28% of females). The participants were divided into regular smokers, occasional smokers, ex-smokers, tobacco chewers and non-tobacco users. The highest prevalence of oral mucosal lesions were found in tobacco chewers (22.7 %) followed by regular smokers (12.9 %), occasional smokers (8.6%), ex-smokers (5.1%) and non tobacco users (2.8%) (p < 0.001). The mean number of decayed teeth was highest in tobacco chewers (6.96) followed by regular smokers (6.44) and ex-smokers (5.5) (p < 0.001). The mean number of missing teeth was highest in the group of regular smokers (1.9) and lowest in non-tobacco users (1.53), but the results were not statistically significant (p = 0.529). The mean number of filled teeth were highest in the group of tobacco chewers (3.67) followed by regular smokers (3.29) (p < 0.001). DMFT value of tobacco chewers, regular smokers and ex-smokers is higher when compared to non-tobacco users (p < 0.001). The study documents that chewing tobacco and smoking can present significant risk factors for dental caries. However, the conclusions are burdened by some limitations. Further studies for investigation of the effect of tobacco using on dental caries are needed.