Post-COVID-19 mucormycosis: Adding fuel to the fire

In India, thousands of COVID-19 patients are suffering from mucormycosis, a deadly fungal infection. Mucormycosis is an infection caused by a group of filamentous molds belonging to the order Mucorales and class Zygomycetes. Typically, mucormycosis is called black fungus disease. The infection primarily affects diabetics and immunocompromised patients. Infections caused by this fungal infection can be divided into four types: rhino-orbito-cerebral, cutaneous, disseminated, pulmonary, and gastrointestinal types. The mortality rate is higher even when aggressive treatment has been administered once it is detected or diagnosed. A multimodal approach to mucormycosis management involves reversing or discontinuing the predisposing factors, administering active antifungal agents at optimal doses, removing all infected tissues, and employing adjuvant therapy. The purpose of this review is to provide brief details related to the etiopathogenesis, fatality, diagnosis, and treatment of mucormycosis. © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Machine Learning based Face Mask Classifier

The COVID19 pandemic has affected almost entire world. The virus is spreading at a rapid rate through droplets generated while sneezing or coughing. All the governments in the world have made it mandatory to wear face masks. But almost 30 to 40% of public is not following the rules. Some people wear masks but they do not wear them in a proper way i.e., they wear masks below their nose. This paper proposes a model based on InceptionV3 algorithm which classifies people into 3 categories namely: face fully covered, face not covered and face partially covered with mask. This paper will help the police to detect people without masks or people not wearing masks properly at a crowded place. The police can then keep record of such people and fine them. © 2022 IEEE.