Application of Nanotechnology in Detection and Prevention of COVID-19

Kushwaha, Ajay; Kalita, Hemen; Bhardwaj, Aditya; Suman, S.; Dehingia, Biswajit; Mishra, Rajneesh Kumar

doi:10.1007/978-981-15-7679-9_18

Cited by 2 publications

(1 citation statement)

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“…The cases reported between 01-03-2020 to 30-09-2020 (7 months) were filtered in a separate file. The raw and coded data was uploaded to Mendeley data (17). A total of 112,860 records were separated based on nationality, date of COVID-19 positive, age, gender (male/female), and patient’s COVID-19 status (recovered/hospitalised/deceased).…”

Section: Methodsmentioning

confidence: 99%

Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis

Kushwaha

Khanna

Rajagopal

et al. 2021

Preprint

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Background: The associated risk factors, co-morbid conditions and biological variations varying with gender and age might be the cause of higher COVID-19 infection and deaths among males and older persons. The objective of this study was to predict and specify the biological attributes of variation in age and gender-based on COVID-19 status (deceased/recovered). Methods: In this retrospective study, the data was extracted from a recognised web-based portal. A total of 112,860 patients record was filtered out and an additional 9,131 records were separately analyzed to examine age and gender relationship with patient`s COVID-19 status (recovered/deceased). Chi-square, t-test, binary logistic regression, and longitudinal regression analysis were conducted. Results: The male COVID-19 cases (65.39%) were more than females (34.61%) and mean age of infected and recovered patients was 39.47±17.59 years and 36.85±18.51 years respectively. The odds for infection was significantly higher among females for lower age categories, which declines with age. The age-adjusted odds for recovery were significantly higher among females (O.R.=1.779) and odds for recovery was highest in 5-17 years age category (O.R.=88.286) independent of gender. Conclusion: The chances of being COVID-19 infected was higher for females of lower age categories (<35 years) which decreases with age. The odds for recovery among females was significantly higher than males. The chances of recovery declines with increasing age and the variation could be attributed to the biological differences between age categories and gender.

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Section: Methodsmentioning

confidence: 99%

Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis

Kushwaha

Khanna

Rajagopal

et al. 2021

Preprint

View full text Add to dashboard Cite

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Nanotechnology-Enhanced Face Masks: Future Scopes and Perspectives

Maher

Abdo

2022

Advances in Materials Science and Engineering

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The scale of the COVID-19 pandemic and subsequent stain on the global supply chain has led to an acute worldwide shortage of personal protective equipment for healthcare workers. In response, many groups around the world are seeking to develop novel solutions to ensure local supply. N95/P2 respiratory masks are one of the critical components for reducing the spread of COVID-19 and protecting frontline workers. This article reviews the most significant and up-to-date literature around N95/P2 filter fundamentals, manufacturing and reuse, with the aim to serve as an authoritative resource for the development of novel COVID-19 respiratory masks.

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Application of Nanotechnology in Detection and Prevention of COVID-19

Cited by 2 publications

References 100 publications

Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis

Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis

Nanotechnology-Enhanced Face Masks: Future Scopes and Perspectives

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