Mathematical Modeling on Double Quarantine Process in the Spread and Stability of COVID-19

Behera, Jangyadatta; Rauta, Aswin Kumar; Rao, Yerra Shankar; Patnaik, Sairam

doi:10.1007/978-981-16-3227-3_3

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…T he COVID-19 pandemic has presented unprecedented challenges worldwide, eliciting a global response from the scientific community . Mathematical modeling has emerged as a powerful tool for comprehending and predicting the transmission of infectious diseases, enabling policymakers to make informed decisions (Behera et al, 2021;Keeling & Rohani, 2008;Kucharski et al, 2020;Sweileh, 2022). Differential equations have played a crucial role in capturing the intricate dynamics of epidemic outbreaks and will be the focus of this comprehensive analysis of their influence on mathematical modeling approaches for COVID-19, employing a bibliometric perspective (Adiga et al, 2020;Altaf & Atangana, 2022;Panovska-Griffiths, 2020).…”

Section: Introduction and Background Studymentioning

confidence: 99%

Analyzing the influence of differential equations in mathematical modeling approaches for Covid-19: A bibliometric perspective

2023

Iberoamerican Journal of Science Measurement and Communication

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Objective. This study aims to provide a comprehensive analysis of global publications on differential equations in mathematical modeling approaches for understanding and combating the COVID-19 pandemic. Design/Methodology/Approach. The study analyses a dataset of 964 documents from 353 sources from 2020 – 2023. Various parameters, such as publication growth rate, citation impact, collaboration patterns, document types, and distribution of citations, are examined. The analysis utilizes tables and figures to present the findings effectively. Results/Discussion. The analysis reveals a decline in publication output over the years, indicated by a negative annual growth rate. However, the dataset remains comprehensive and contributes valuable insights to the field. The publications have made significant contributions, evidenced by the average citations per document and the extensive reference list. Collaboration among authors is prevalent, with a substantial portion of co-authorships being international. The study identifies prominent papers with high citation counts, emphasizing their influence and recognition within the academic community. Conclusion. The findings highlight the need for continued research efforts and advancements in differential equations in mathematical modeling approaches for COVID-19. The study emphasizes the importance of maintaining a robust scientific impact and contributing effectively to the ongoing fight against the pandemic. It underscores the significance of collaboration and highlights countries and institutions with notable productivity and impact in the field. Originality/Value. This study provides a comprehensive analysis of global publications on the role of differential equations in mathematical modeling for COVID-19. It presents novel insights into publication trends, citation impact, collaboration patterns, and distribution of citations. The findings contribute to understanding the research landscape and offer valuable information for researchers and practitioners seeking to advance the field and combat the COVID-19 pandemic effectively.

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