Scientometric Mapping of Mucormycosis Research in Relation to the COVID-19 Pandemic

Dayal, Devi; Gupta, Brij Mohan; Kappi, Mallikarjun

doi:10.5530/ijmedph.2022.2.11

Cited by 2 publications

(1 citation statement)

References 35 publications

(53 reference statements)

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“…The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, presented unique challenges due to its rapid global dissemination and the absence of pre-existing immunity in the population (Dayal et al, 2022;. Mathematical modeling quickly became essential for comprehending the disease's transmission patterns, estimating critical epidemiological parameters, and guiding public health interventions.…”

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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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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COVID-19 associated mucormycosis: A bibliometric analysis of Indian research based on Scopus

Dayal,

Gupta,

Bansal

et al. 2023

Iberoamerican Journal of Science Measurement and Communication

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Objective. Invasive fungal infections, specifically mucormycosis, showed a massive surge during the COVID-19 pandemic, forcing the global medical fraternity to research this highly fatal co-infection. India has contributed significantly to COVID-19-associated mucormycosis (CAM) research, but a bibliometric analysis of this research topic is scarce. Using established bibliometric methods, we aimed to provide the yield and impact of CAM research in India. Design/Methodology/Approach. The publication data on CAM was extracted from Scopus. Data was analyzed using quality indices such as citations per paper (CPP), relative citation index (RCI), and total linkage strength (TLS). Results/Discussion. India contributed 640 (61.2%) to 1045 global publications on CAM research involving 548 authors from 247 organizations. Only 62 (9.8%) and 96 (15.0%) publications were funded and collaborative. The CAM research was focused on clinical features (36.5%), complications (21.7%), risk factors (19.2%), epidemiology (12.3%), diagnostics & imaging (6.8%), treatment outcomes (4.5%), prognosis (3.4%) and pathophysiology (3.1%). The average CPP of Indian publications was 7.8 compared to 28.2 CPP in France, 17.8 CPP in the USA, 8.7 CPP in Saudi Arabia, 8.3 CPP in Bangladesh, and 8.1 CPP in Iran. The major collaborations were with the USA, Bangladesh, Saudi Arabia, the UK, Pakistan, Malaysia, and UAE. The most productive organizations were PGIMER-Chandigarh (n=47), AIIMS-New Delhi (n=44), and AIIIMS-Jodhpur (n=17), whereas the most impactful organizations were SMS Medical College, Jaipur, SGPGIMS, Lucknow and BJ Medical College, Ahmedabad. The most productive authors were A. Chakrabarti, V. Muthu, and R. Agarwal, and the most impactful were I.S. Sehgal, R. Agarwal, and V. Muthu. The most preferred journals were the Indian Journal of Ophthalmology, the Indian Journal of Otolaryngology and Head & Neck Surgery, and BMJ Case Reports. Conclusions. Even though India is the topmost contributor to global CAM research, the quality of its publications is lower than those from France and the USA. The CAM research is largely non-funded. There is a need to improve international collaboration and increase focus on pathophysiology, epidemiology, and pediatric aspects. This may lead to an improved understanding of CAM and increase survival in affected patients.

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Scientometric Mapping of Mucormycosis Research in Relation to the COVID-19 Pandemic

Cited by 2 publications

References 35 publications

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

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

COVID-19 associated mucormycosis: A bibliometric analysis of Indian research based on Scopus

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