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1.
Lecture Notes in Networks and Systems ; 445:481-488, 2023.
Article in English | Scopus | ID: covidwho-2245193

ABSTRACT

The pandemic during COVID-19 has had a negative influence on the world's fabric, including health systems, travel, living and working habits, and economies in numerous countries throughout the world. Furthermore, it has had a significant negative impact on continuing global attempts to curb excessive usage of plastic materials. The extensive usage by healthcare professionals and the overall community, of masks, sanitizers, and synthetic-based personal protective equipment (PPE) kits, has resulted in massive amounts of plastic trash, with no effective measures or policies in place to reduce its severity. Wearing a face mask as a way of protection against COVID-19 has become commonplace. However, because present mask disposal techniques (i.e., burning and reclamation) produce dangerous chemicals, huge production of contaminated face masks causes environmental difficulties. Furthermore, disposable masks are prepared of a variety of materials that are either non-recyclable or difficult to recycle. Therefore, as a result, it is critical to comprehend the scope of the problem and, equally essential, to devise a viable solution to contribute to the creation of a sustainable civic society. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
International Journal of Pharmaceutical and Clinical Research ; 14(10):770-778, 2022.
Article in English | EMBASE | ID: covidwho-2238983

ABSTRACT

Background: The present radiological COVID literature is mainly confined to the CT findings. Using High Resolution Computed tomography (HRCT) as a regular 1st line investigation put a large burden on radiology department and constitute a huge challenge for the infection control in CT suite. Materials and Methods: A prospective study of 700 consecutive COVID positive cases who underwent Chest Xray (CXR) and HRCT thorax were included in the study. Many of these CXR were repeated and followed up over a duration of time to see the progression of disease. Results: 392/700 (56%) were found to be negative for radiological thoracic involvement. 147/700 (21%) COVID positive patients showed lung consolidations, 115/700 (16.5%) presented with GGO, 40/700 (5.7%) with nodules and 42/700 (6%) with reticular–nodular opacities. 150/700 patients (21.4 %) had mild findings with total RALE severity score of 1-2. More extensive involvement was seen in 104/700 (14.8 %) and 43/700 (6.2%) patients, who had severity scores of 3-4 and 5-6 respectively. 11/700 patients had a severity score of >6 on their baseline CXR. Those with severity score of 5 or more than 5 (54/700, 7.7%) required aggressive treatment with mean duration of stay of 14 days, many of them died also (23/54, 42.5%). Conclusion: In cases of high clinical suspicion for COVID-19, a positive CXR may obviate the need for CT. Additionally, CXR utilization for early disease detection and followup may also play a vital role in areas around the world with limited access to CT and RT-PCR test.

3.
International Journal of Pharmaceutical and Clinical Research ; 14(10):770-778, 2022.
Article in English | EMBASE | ID: covidwho-2101603

ABSTRACT

Background: The present radiological COVID literature is mainly confined to the CT findings. Using High Resolution Computed tomography (HRCT) as a regular 1st line investigation put a large burden on radiology department and constitute a huge challenge for the infection control in CT suite. Material(s) and Method(s): A prospective study of 700 consecutive COVID positive cases who underwent Chest Xray (CXR) and HRCT thorax were included in the study. Many of these CXR were repeated and followed up over a duration of time to see the progression of disease. Result(s): 392/700 (56%) were found to be negative for radiological thoracic involvement. 147/700 (21%) COVID positive patients showed lung consolidations, 115/700 (16.5%) presented with GGO, 40/700 (5.7%) with nodules and 42/700 (6%) with reticular-nodular opacities. 150/700 patients (21.4 %) had mild findings with total RALE severity score of 1-2. More extensive involvement was seen in 104/700 (14.8 %) and 43/700 (6.2%) patients, who had severity scores of 3-4 and 5-6 respectively. 11/700 patients had a severity score of >6 on their baseline CXR. Those with severity score of 5 or more than 5 (54/700, 7.7%) required aggressive treatment with mean duration of stay of 14 days, many of them died also (23/54, 42.5%). Conclusion(s): In cases of high clinical suspicion for COVID-19, a positive CXR may obviate the need for CT. Additionally, CXR utilization for early disease detection and followup may also play a vital role in areas around the world with limited access to CT and RT-PCR test. Copyright © 2022, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

4.
Next Generation of Internet of Things ; 445:481-488, 2023.
Article in English | Web of Science | ID: covidwho-2085301

ABSTRACT

The pandemic during COVID-19 has had a negative influence on the world's fabric, including health systems, travel, living and working habits, and economies in numerous countries throughout the world. Furthermore, it has had a significant negative impact on continuing global attempts to curb excessive usage of plastic materials. The extensive usage by healthcare professionals and the overall community, of masks, sanitizers, and synthetic-based personal protective equipment (PPE) kits, has resulted in massive amounts of plastic trash, with no effective measures or policies in place to reduce its severity. Wearing a face mask as a way of protection against COVID-19 has become commonplace. However, because present mask disposal techniques (i.e., burning and reclamation) produce dangerous chemicals, huge production of contaminated face masks causes environmental difficulties. Furthermore, disposable masks are prepared of a variety of materials that are either non-recyclable or difficult to recycle. Therefore, as a result, it is critical to comprehend the scope of the problem and, equally essential, to devise a viable solution to contribute to the creation of a sustainable civic society.

5.
3rd International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2022 ; 490:683-695, 2023.
Article in English | Scopus | ID: covidwho-2059764

ABSTRACT

COVID-19, a brand-new coronavirus, was found in Wuhan, China, in December 2019 and has since spread to 24 additional nations as well as numerous locations in China. The number of confirmed cases continues to rise every day, reaching 34,598 on February 8, 2021. We present our findings a new method was used in this investigation, predictive framework, for such number of reported COVID-19 cases in the China. During the next 10 days, predicated on recently known cases in China. The suggested upgraded adaptable neuro-fuzzy powerful instrument (ANFIS) with an updated floral modeling is used in this model. The salp swarm algorithm (SSA) was used to implement the pollination algorithm (FPA). Generally, SSA is used to enhance FPA in order to minimize its shortcomings. The fundamental theme of the essay FPASSA-ANFIS seems to be a proposed paradigm of improving ANFIS effectiveness through determining FPASSA which was used to determine the ANFIS specifications. The world is also used to analyze the FPASSA-ANFIS model. Statistical figures from the World Health Organization (WHO) on the COVID-19 pandemic for forecast the cases reported these following are indeed the cases for the next 10 days. Most specifically, the FPASSA-ANFIS model in comparison to such a number of other models outperformed them in terms of computing time, root mean squared error (RMSE), and mean absolute percentage (MAP). Researchers also put the suggested model to the tests utilizing two distinct datasets of week pandemic confirmed cases from two or more countries: the USA and China. These results also indicated incredible performance. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

6.
3rd International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2022 ; 490:671-682, 2023.
Article in English | Scopus | ID: covidwho-2059763

ABSTRACT

Preventing the transmission of COVID-19 necessitates diagnosis and identification. Researchers have developed algorithms to detect the presence of COVID-19 in X-ray and CT scans and images. These methodologies produce skewed data and incorrect disease detection. So, in the case of COVID-19 forecasting utilizing CT scans in an IoT setting, the current study paper established an oppositional-based deep dense convolutional neural network (DDCNN) and chimp optimization algorithm. The framework proposed is divided into two stages: preprocessing and estimation. Previously, a CT scan pictures generated from anticipated COVID-19 are acquired utilizing IoT devices from an open-source system. After that, the photos are preprocessed with a Gaussian function. A Gaussian filter can be used to remove undesirable noise from CT scan pictures that have been obtained. The preprocessed photos are then transmitted to the prediction process. DDCNN is applied to the images preprocessed in this step. The recommended classifier is designed to be as efficient as possible using the oppositional-based chimp optimization algorithm (OCOA). This approach is used to choose the best classifier parameters under consideration. Furthermore, the suggested method is applied to forecast COVID-19 and categorizes the findings as COVID-19 or non-COVID-19. The proposed technique was used in Python, and results were assessed using statistical analysis. CNN-EPO and CNN-FA were compared to the new method. The results proved that the proposed model was optimal. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

7.
Indian Journal of Gynecologic Oncology ; 19(3), 2021.
Article in English | EMBASE | ID: covidwho-1343078

ABSTRACT

Objectives: India alone bears 23% of the global cervical cancer burden. Cervical cancer is the first cancer to be shown to be 100% attributable to a virus;oncogenic human papillomaviruses (HPV), particularly types 16 and 18. In India, the most common oncogenic types are HPV 16 and 18 accounting for more than 90% cases. In India, population-based cervical cancer screening is largely non-existent in most regions due to competing healthcare priorities, insufficient financial resources and a limited number of trained providers. Hence, most of the cases present in advanced stages of the disease, thus leading to increased mortality and reduced survival. Methods: Introduction of HPV vaccination (Cervarix) in Delhi State Cancer Institute offers great promise to reduce the burden of cervical cancer in conjunction with regular screening methods. Two doses of HPV vaccine (Cervarix) given free of cost at DSCI Delhi to adolescent girls aged 9 to 13 years. Even during the COVID-19 pandemic situation, the HPV vaccination program does not hampered, adolescent girls were highly motivated and vaccinated in large numbers at DSCI. Results: During COVID-19 pandemic, over 4000 adolescent girls were vaccinated at DSCI, Delhi, in which around 2800 girls received first dose and 1200 received their second dose of vaccine. This becomes possible through regular community and school-based awareness campaigns run by DSCI. Conclusion: Prevention of cervical cancers with two-dose HPV vaccination and early detection of precancerous cervical lesions of the eligible population through screening and their appropriate treatment with a single-visit 'screen-and-treat' approach appear to be promising for low-middle-income countries including India.

8.
Indian Journal of Forensic Medicine and Toxicology ; 15(1):167-172, 2021.
Article in English | Scopus | ID: covidwho-1061374

ABSTRACT

India accompanies the world witnessing a rapidly spreading global pandemic of Covid-19. On 24 March, the Government of India ordered a nationwide lockdown that triggered the mass migration of daily wages workers back to their native states. Without prior testing for SARS-CoV-2, it imposed a new challenge towards the authorities to prevent the possible spread of infection. The study aims to determine the infection status of migrants who died in the jurisdiction of Varanasi district during their journey and the possible risk of spread of Covid-19 to frontline workers. The study was conducted between 24 March 2020 and 10 July 2020. A total of 6 cases came to our department who died during travel. The nasopharyngeal and oropharyngeal swabs were taken after the body arrived in the mortuary and sent for detection of SARS-CoV-2 by RT-PCR method to the Viral Research and Diagnostic Laboratory (VRDL), Department of Microbiology of our Institute. A total of six cases were included in this study, of which 3 were positive for SARS-CoV-2 while others were negative. None of them had symptoms of Covid-19 infection, such as respiratory difficulties, sore throat or fever. The guidelines issued by the Ministry of Health and Family Welfare were limited in scope to hospital deaths and lacked guidelines to be followed by police personnel while investigating unnatural deaths. This brings the police personnel at risk of contracting Covid-19 infection as the cases are getting tested after the arrival at mortuary. The only way of protection is prevention, which mandates laying down the guidelines at the earliest. © 2021, Institute of Medico-Legal Publications. All rights reserved.

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