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. 2022 Mar 21;19(6):3742.
doi: 10.3390/ijerph19063742.

Global Trends and Research Hotspots in Long COVID: A Bibliometric Analysis

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Global Trends and Research Hotspots in Long COVID: A Bibliometric Analysis

Hongxia Jin et al. Int J Environ Res Public Health. .

Abstract

Long COVID is a condition distinguished by long-term sequelae that occur or persist after the convalescence period of COVID-19. During the COVID-19 pandemic, more and more people who tested positive for SARS-CoV-2 experienced long COVID, which attracted the attention of researchers. This study aims to assess the pattern of long COVID research literature, analyze the research topics, and provide insights on long COVID. In this study, we extracted 784 publications from Scopus in the field of long COVID. According to bibliometric analysis, it is found that: developed countries in Europe and America were in leading positions in terms of paper productivity and citations. The International Journal of Environmental Research and Public Health and the Journal of Clinical Medicine were leading journals in the perspective of publications count, and Nature Medicine had the highest number of citations. Author Greenhalgh T has the highest number of papers and citations. The main research topics were: pathophysiology, symptoms, treatment, and epidemiology. The causes of long COVID may be related to organ injury, inflammation, maladaptation of the angiotensin-converting enzyme 2 (ACE2) pathway, and mental factors. The symptoms are varied, including physical and psychological symptoms. Treatment options vary from person to person. Most patients developed at least one long-term symptom. Finally, we presented some possible research opportunities.

Keywords: bibliometric analysis; long COVID; network analysis; publication; research hotspots; research trends; social network analysis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The flowchart of data selection.
Figure 2
Figure 2
Monthly number of the publications.
Figure 3
Figure 3
International research collaboration map in original articles on long COVID.
Figure 4
Figure 4
Network visualization map for (a) author co-authorship map; (b) author co-citation map.
Figure 5
Figure 5
Top ten most frequent keywords.
Figure 6
Figure 6
The keywords co-occurrence network.

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References

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