Finite element analysis over transmission region of coronavirus in CFD analysis for the respiratory cough droplets

Devi, Supriya; Nagaraja, K.V.; L, Thanuja; Reddy, M.V.; Ramakrishna, Seeram

doi:10.1016/j.asej.2022.101766

Cited by 6 publications

(2 citation statements)

References 40 publications

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“…The spread of the virus has been largely unlikely across all the states in India [12]. Research survey says that apart from common features like flu-like symptoms there are people in severe cases experiencing various comorbidities but not bound to acute respiratory distress syndrome (ARDS) [13], anemia, and cardiac injury. The most common comorbidities include hypertension, diabetes, cardiac conditions, etc.…”

Section: Ecs Transactions 107 (1) 1475-1486 (2022)mentioning

confidence: 99%

An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19

Nagaraja¹,

Pothina²,

Devi³

et al. 2022

ECS Trans.

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The article is regarding infectious disease, which has been affecting people all around the world since December 2019. Write-up gives a brief introduction of the Coronavirus from its emergence to the final solution of its exit. It gives us a glimpse of the biological structure of the virus, precautions to be taken in care to reduce the spread of the disease. The description shows us the consequences of the virus-like the mortality rate and the life expectancy rate. The article also presents a few vaccines development projects as a whole to fight COVID-19. It also describes the efficacy of vaccination and the post-vaccination symptoms. In the end, the write-up presents real-time neural network-based applications to fight COVID-19 and a few machine learning and deep learning techniques to diagnose a COVID-19 infected person. The final part of the article concludes with an artificial neural network and statistical neural network-based approaches to identify the rate of infection risk in a country.

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Section: Ecs Transactions 107 (1) 1475-1486 (2022)mentioning

confidence: 99%

An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19

Nagaraja¹,

Pothina²,

Devi³

et al. 2022

ECS Trans.

View full text Add to dashboard Cite

show abstract

“…It is more doubtful regarding the virus spreading of the corona, most dangerous and life taking disease where there is no clear picture to fix whether the droplets of sneezing and coughing or through the direct internal reaction in the atmosphere, mainly wind, which agent is carrying the coronavirus from one person to another person is not predictable. The intensity of the respiratory cough droplets of a coronavirus-infected person has been analyzed by Finite element analysis in [5]. Reliable and accurate dependable data is not available for the transmission of the coronavirus.…”

Section: Introductionmentioning

confidence: 99%

Statistical Modeling of Temperature for Coastal and Non-Coastal Regions on the Dynamics of COVID-19 with ANOVA

Devi¹,

Nagaraja

Pothina

et al. 2022

ECS Trans.

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The spread of COVID-19 has been statistically analyzed with meteorological factors such as varying ecogeographical regions and climatic conditions i.e., the temperature of India. Although the transmission of the virus can be mainly detected by the humidity, still the temperature imparts a moderate effect on the COVID-19 pandemic. The number of confirmed COVID-19 cases in coastal and non-coastal regions of Kerala have been analyzed statistically with the change in climatic condition and its interaction during the pandemic period i.e., March 2020 to May 2021. The analysis is carried out by bifurcating the number of confirmed COVID-19 cases based on different regions. The data spectrum of the regions under consideration has shown the impact with temperature by ANOVA analysis. The present study can be utilized to frame a strict guideline to restrict the spread of COVID-19 cases. The intellectual awareness developed among the individuals could overcome the pandemic situation.

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On an efficient octic order sub-parametric finite element method on curved domains

J.,

Naidu V.,

et al. 2023

Computers & Mathematics with Applications

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Finite element analysis over transmission region of coronavirus in CFD analysis for the respiratory cough droplets

Cited by 6 publications

References 40 publications

An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19

An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19

Statistical Modeling of Temperature for Coastal and Non-Coastal Regions on the Dynamics of COVID-19 with ANOVA

On an efficient octic order sub-parametric finite element method on curved domains

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