Role of the Pangolin in Origin of SARS-CoV-2: An Evolutionary Perspective

Gupta, Shishir; Minocha, Rashmi; Thapa, Prithivi Jung; Srivastava, Mugdha; Dandekar, Thomas

doi:10.3390/ijms23169115

Cited by 9 publications

(3 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used the homotopy perturbation method (HPM) for the numerical simulation of model (1). The description and the analytical solution of the method are presented in the Appendix A.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…Coronavirus disease, also known as COVID-19, is an infectious disease that is caused by a virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from the family of viruses that cause illnesses in humans and animals. It is believed that SARS-CoV-2 officially originated in bats and spread to humans through a host known as the pangolin [1]. It became a pandemic as it spread, affecting the world in a destructive way and causing unrestrained infections and deaths globally.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom

Agbaje,

Babasola,

Adeyemo

et al. 2024

COVID

View full text Add to dashboard Cite

The COVID-19 pandemic has had a significant impact on countries worldwide, including the United Kingdom (UK). The UK has faced numerous challenges, but its response, including the rapid vaccination campaign, has been noteworthy. While progress has been made, the study of the pandemic is important to enable us to properly prepare for future epidemics. Collaboration, vigilance, and continued adherence to public health measures will be crucial in navigating the path to recovery and building resilience for the future. In this article, we propose an overview of the COVID-19 situation in the UK using both mathematical (a nonlinear differential equation model) and statistical (time series modeling on a moving window) models on the transmission dynamics of the COVID-19 virus from the beginning of the pandemic up until July 2022. This is achieved by integrating a hybrid model and daily empirical case and death data from the UK. We partition this dataset into before and after vaccination started in the UK to understand the influence of vaccination on disease dynamics. We used the mathematical model to present some mathematical analyses and the calculation of the basic reproduction number (R0). Following the sensitivity analysis index, we deduce that an increase in the rate of vaccination will decrease R0. Also, the model was fitted to the data from the UK to validate the mathematical model with real data, and we used the data to calculate time-varying R0. The homotopy perturbation method (HPM) was used for the numerical simulation to demonstrate the dynamics of the disease with varying parameters and the importance of vaccination. Furthermore, we used statistical modeling to validate our model by performing principal component analysis (PCA) to predict the evolution of the spread of the COVID-19 outbreak in the UK on some statistical predictor indicators from time series modeling on a 14-day moving window for detecting which of these indicators capture the dynamics of the disease spread across the epidemic curve. The results of the PCA, the index of dispersion, the fitted mathematical model, and the mathematical model simulation are all in agreement with the dynamics of the disease in the UK before and after vaccination started. Conclusively, our approach has been able to capture the dynamics of the pandemic at different phases of the disease outbreak, and the result presented will be useful to understand the evolution of the disease in the UK and future and emerging epidemics.

show abstract

“…We used the homotopy perturbation method (HPM) for the numerical simulation of model (1). The description and the analytical solution of the method are presented in the Appendix A.…”

Section: Numerical Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom

Agbaje,

Babasola,

Adeyemo

et al. 2024

COVID

View full text Add to dashboard Cite

show abstract

“…The exact origins of the SARS-CoV-2 virus are not yet fully understood, but it is believed to have originated from bats and may have been transmitted to humans through an intermediate animal host, possibly a pangolin (Gupta et al, 2022). Once the virus emerged in humans, it began to evolve and adapt to its new host.…”

Section: The Emergence Of Sars-cov-2 Variantsmentioning

confidence: 99%

Can Multiplex SYBR Green Real-Time PCR Assay Serve as a Detection and Quantification Method Comparable to the TaqMan Method for SARS-CoV-2 Diagnosis?

Mahali,

Nur Athirah Yusof

2023

BIJB

View full text Add to dashboard Cite

The reopening of schools, business, and social sectors during the COVID-19 pandemic has caused a current increase in the number of COVID-19 cases and clusters all over the globe. While the COVID-19 pandemic is far from over, the reopening and resumption of all economic sectors are essential to recovering the world economy. Health experts all over the world have determined that the real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) method is the gold standard for diagnosing COVID-19 infections due to the test’s high sensitivity and specificity. During the past 3 years when WHO declared the COVID-19 pandemic, the cost of laboratory diagnosis of COVID-19 using a robust RT-qPCR assay is still considerably expensive, especially for low and middle-income countries. Therefore, numerous studies have reported optimized SYBR green methods which are more economical than the qPCR probe assay. Continuous diagnostic testing is vital to mitigate the spread of COVID-19. However, there is a question as to whether SYBR Green may serve as an excellent detection and quantification method for molecular diagnosis to perform SARS-CoV-2 screening. This review summarizes the numerous studies using SYBR Green RT-PCR to detect SARS-CoV-2. The reliability of SYBR Green qPCR assays for determining gene expression based on their performance is justified and the quality is comparable to the TaqMan method.

show abstract

Covid-19

Juhas

2023

Brief Lessons in Microbiology

View full text Add to dashboard Cite

Role of the Pangolin in Origin of SARS-CoV-2: An Evolutionary Perspective

Cited by 9 publications

References 53 publications

Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom

Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom

Can Multiplex SYBR Green Real-Time PCR Assay Serve as a Detection and Quantification Method Comparable to the TaqMan Method for SARS-CoV-2 Diagnosis?

Covid-19

Contact Info

Product

Resources

About