ABSTRACT
Background: A considerable number of front-line workers are under risk due to repeated infection and exposure. The pattern of COVID 19 infection among the front-line workers was important, so that more focus would be laid on protecting them. Contact tracing is one key strategy for interrupting chains of transmission of SARS-CoV-2. This study aimed to find the pattern of COVID 19 infection among front line health workers and describe the process of contact tracing. Methodology: The list of front-line workers with possible symptoms of COVID-19 or had come in direct contact with a "case" was shared with the department of community medicine for contract tracing activity as per the guidelines. The front-line workers who were categorized as High Risk were quarantined immediately and those who were categorized as Low-Risk were advised to be vigilant regarding the development of symptoms and were asked to continue with their routine duties with extra precautionary measures as they form a very vital part of the resource in this combat against COVID-19. Result(s): About 138 front line health workers were affected by COVID-19 among which staff nurses (51) amounted to the maximum number who were affected. Conclusion(s): COVID-19 was high among front-line workers and had a large number of high-risk contacts. Nurses were found to be most affected with COVID 19 infection.Copyright © 2023, Institute of Medico-legal Publication. All rights reserved.
ABSTRACT
The novel coronavirus disease 2019 that is associated with respiratory illness has become a new threat to human health. This disease is rapidly spreading among the human population but unfortunately, there is no specific medication to treat it except the efforts geared toward repurposing of the existing drugs of influenza, HIV and hepatitis. Several research groups from various countries released genome and amino acid sequences of the SARS-CoV-2 using different bioinformatics tools and software. The field of bioinformatics utilizes the in silico tools that are useful in analyzing the new genes, whole genome, or proteomes. It plays a major role in sequence analysis and annotations in finding therapeutic drug targets. The possible small molecule or bioactive ligands will be docked against the modeled SARS-CoV-2 protein (involved in the host-pathogen infection) to check their inhibition activity and the highly potent protein–ligand complex is further considered for molecular dynamics simulation studies. © 2022 Elsevier Inc. All rights reserved.
ABSTRACT
Coronavirus disease-19 (COVID-19) is an infectious disease caused by a newly discovered coronavirus. SARS-CoV-2 infection can cause mild to moderate respiratory illness. Millions of people have already been infected and so many have died around the world due to this pandemic. Serious infections may develop in people with underlying diseases and those who are older. The pandemic is a serious challenge for diabetic patients. People with diabetes (both type 1 and 2) can have impaired immune systems, which increases the risk of complications and mortality. © 2022 by Nova Science Publishers, Inc.
ABSTRACT
The novel coronavirus pandemic has spread over in 150 countries as of March 2020. Approximately 900,000 people have been infected so far (WHO). Preventive measures are been taken globally to contain the rapid spread of virus. Compared to 2002 SARS epidemic, COVID-19 is apparently less lethal but far more contagious as it spreads more easily among individuals. This review highlights ongoing progress in figuring out the structure of major proteins designing vaccines and therapeutics to combat COVID-19 while also concen-trating on developing preventive steps to avoid the emerging infection of viruses. © International Journal of Research in Pharmaceutical Sciences.