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A bibliometric analysis of coronavirus disease (COVID-19) mortality rate

Abstract

Background: Coronavirus disease 2019 (COVID-19) has had a profound global effect on mortality rates. There were many studies about mortality and COVID-19, but there is no study about bibliometric analysis of these studies. This study provides a general overview of studies on the mortality rate of COVID-19.

Methods: Publications on mortality rate during the COVID-19 pandemic from December 1, 2019, to November 17, 2021, were extracted from the Pubmed database. Bibliometrics indicator analysis was performed using Bibliometric/Biblioshiny, We used the following keywords: “covid-19 mortality[Title]”; “SARS-CoV-2 mortality[Title]”; “2019-nCoV mortality[Title]”; "SARS-CoV-2"[MeSH Terms]”; "SARS-CoV-2"; "2019 ncov"; "mortality"[Title]”.

Results: From December 1, 2019, to November 17, 2021, 2,848 documents were retrieved, with 2,202 (or 77.3 %) being journal articles. Most publications were produced by the Plos One journal (93 3,3 %). Wang Y, a Chinese author, has authored the most articles on this topic (64, 8.91 %). The strongest cooperating countries' network consisted of the United States, Italy, France, China, and Spain. Ten keyword clusters identifying mortality hotspots were discovered.

Conclusion: Bibliometrix analysis of the mortality rate in COVID-19 is helpful for mapping studies related to the mortality rate of COVID-19. This article provides an overview of further research related to mortality in COVID-19

References

  1. WHO. Novel Coronavirus (‎2019-nCoV)‎: situation report, 1 [Internet]. 2020. Available from: https://apps.who.int/iris/handle/10665/330760
  2. Chen Y, Li L. SARS-CoV-2: virus dynamics and host response. Lancet Infect Dis. 2020/03/23. 2020;20(5):515–6. Available from: https://pubmed.ncbi.nlm.nih.gov/32213336
  3. Phannajit J, Takkavatakarn K, Katavetin P, Asawavichienjinda T, Tungsanga K, Praditpornsilpa K, et al. Factors Associated with the Incidence and Mortality of Coronavirus Disease 2019 (COVID-19) after 126-million Cases: A Meta-analysis. J Epidemiol Glob Health. 2021/06/14. 2021;11(3):289–95. Available from: https://pubmed.ncbi.nlm.nih.gov/34270185
  4. Fontanarosa PB, Bauchner H. COVID-19—Looking Beyond Tomorrow for Health Care and Society. JAMA. 2020;323(19):1907. Available from: http://dx.doi.org/10.1001/jama.2020.6582
  5. Meo SA, Alhowikan AM, Al-Khlaiwi T, Meo IM, Halepoto DM, Iqbal M, et al. Novel coronavirus 2019-nCoV: prevalence, biological and clinical characteristics comparison with SARS-CoV and MERS-CoV. Eur Rev Med Pharmacol Sci. 2020;24(4):2012–9.
  6. Espinosa OA, Zanetti ADS, Antunes EF, Longhi FG, Matos TA de, Battaglini PF. Prevalence of comorbidities in patients and mortality cases affected by SARS-CoV2: a systematic review and meta-analysis. Rev Inst Med Trop Sao Paulo. 2020;62:e43–e43. Available from: https://pubmed.ncbi.nlm.nih.gov/32578683
  7. WHO. WHO Coronavirus Disease (COVID-19) Dashboard. Bangladesh Physiother J. 2020;10(1). Available from: http://dx.doi.org/10.46945/bpj.10.1.03.01
  8. Yang P, Wang X. COVID-19: a new challenge for human beings. Cell Mol Immunol. 2020/03/31. 2020;17(5):555–7. Available from: https://pubmed.ncbi.nlm.nih.gov/32235915
  9. Aristovnik A, Ravšelj D, Umek L. A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape [Internet]. MDPI AG; 2020. Available from: http://dx.doi.org/10.20944/preprints202006.0299.v3
  10. Haghani M, Bliemer MCJ, Goerlandt F, Li J. The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review. Saf Sci. 2020/05/07. 2020;129:104806. Available from: https://pubmed.ncbi.nlm.nih.gov/32382213
  11. Aria M, Cuccurullo C. bibliometrix : An R-tool for comprehensive science mapping analysis. J Informetr. 2017;11(4):959–75. Available from: http://dx.doi.org/10.1016/j.joi.2017.08.007
  12. Muhammad LJ, Islam MM, Usman SS, Ayon SI. Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients' Recovery. S.N. Comput Sci. 2020/06/21. 2020;1(4):206. Available from: https://pubmed.ncbi.nlm.nih.gov/33063049
  13. Karaali R, Topal F. Evaluating the effect of SARS-Cov-2 infection on prognosis and mortality in patients with acute pancreatitis. Am J Emerg Med. 2021/06/22. 2021;49:378–84. Available from: https://pubmed.ncbi.nlm.nih.gov/34246968
  14. Zare ME, Wang Y, Nasir Kansestani A, Almasi A, Zhang J. Procalcitonin Has Good Accuracy for Prognosis of Critical Condition and Mortality in COVID-19: A Diagnostic Test Accuracy Systematic Review and Meta-analysis. Iran J Allergy, Asthma Immunol. 2020; Available from: http://dx.doi.org/10.18502/ijaai.v19i6.4926
  15. Mangone L, Gioia F, Mancuso P, Bisceglia I, Ottone M, Vicentini M, et al. Cumulative COVID-19 incidence, mortality and prognosis in cancer survivors: A population-based study in Reggio Emilia, Northern Italy. Int J cancer. 2021;149(4):820–6. Available from: https://pubmed.ncbi.nlm.nih.gov/33861870
  16. Biberoğlu S, İpekci A, İkizceli İ, Çakmak F, Akdeniz YS, Kanbakan A, et al. Role of plasma angiotensin II and angiotensin-converting enzyme 2 levels on prognosis and mortality in hypertensive patients with COVID-19. Biomark Med. 2021;15(17):1581–8.
  17. Ward M, May P, Normand C, Kenny RA, Nolan A. Mortality risk associated with combinations of loneliness and social isolation. Findings from The Irish Longitudinal Study on Ageing (TILDA). Age Ageing. 2021;50(4):1329–35. Available from: https://pubmed.ncbi.nlm.nih.gov/33570566
  18. Hamman MK. Disparities in COVID-19 mortality by county racial composition and the role of spring social distancing measures. Econ Hum Biol. 2020/12/09. 2021;41:100953. Available from: https://pubmed.ncbi.nlm.nih.gov/33360736
  19. Piovani D, Christodoulou MN, Hadjidemetriou A, Pantavou K, Zaza P, Bagos PG, et al. Effect of early application of social distancing interventions on COVID-19 mortality over the first pandemic wave: An analysis of longitudinal data from 37 countries. J Infect. 2020/12/01. 2021;82(1):133–42. Available from: https://pubmed.ncbi.nlm.nih.gov/33275956
  20. Zawbaa HM, El-Gendy A, Saeed H, Osama H, Ali AMA, Gomaa D, et al. A study of the possible factors affecting COVID-19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model. Int J Clin Pract. 2021/03/08. 2021;75(6):e14116–e14116. Available from: https://pubmed.ncbi.nlm.nih.gov/33639032
  21. Karlsson LK, Jakobsen LH, Hollensberg L, Ryg J, Midttun M, Frederiksen H, et al. Clinical presentation and mortality in hospitalized patients aged 80+ years with COVID-19-A retrospective cohort study. Arch Gerontol Geriatr. 2020/12/30. 2021;94:104335. Available from: https://pubmed.ncbi.nlm.nih.gov/33476754
  22. Vila-Corcoles A, Satue-Gracia E, Vila-Rovira A, de Diego-Cabanes C, Forcadell-Peris MJ, Hospital-Guardiola I, et al. COVID19-related and all-cause mortality risk among middle-aged and older adults across the first epidemic wave of SARS-COV-2 infection: a population-based cohort stuJune 2020.dy in Southern Catalonia, Spain, March-. BMC Public Health. 2021;21(1):1795. Available from: https://pubmed.ncbi.nlm.nih.gov/34615512
  23. Ahmadi MN, Huang B-H, Inan-Eroglu E, Hamer M, Stamatakis E. Lifestyle risk factors and infectious disease mortality, including COVID-19, among middle aged and older adults: Evidence from a community-based cohort study in the United Kingdom. Brain Behav Immun. 2021/05/01. 2021;96:18–27. Available from: https://pubmed.ncbi.nlm.nih.gov/33940153
  24. Ahrenfeldt LJ, Otavova M, Christensen K, Lindahl-Jacobsen R. Sex and age differences in COVID-19 mortality in Europe. Wien Klin Wochenschr. 2020/12/22. 2021;133(7–8):393–8. Available from: https://pubmed.ncbi.nlm.nih.gov/33351155
  25. Goodman KE, Magder LS, Baghdadi JD, Pineles L, Levine AR, Perencevich EN, et al. Impact of Sex and Metabolic Comorbidities on Coronavirus Disease 2019 (COVID-19) Mortality Risk Across Age Groups: 66 646 Inpatients Across 613 U.S. Hospitals. Clin Infect Dis. 2021;73(11):e4113–23. Available from: https://pubmed.ncbi.nlm.nih.gov/33337474
  26. Mahamat-Saleh Y, Fiolet T, Rebeaud ME, Mulot M, Guihur A, El Fatouhi D, et al. diabetes, hypertension, body mass index, smoking and COVID-19-related mortality: a systematic review and meta-analysis of observational studies. BMJ Open. 2021;11(10):e052777–e052777. Available from: https://pubmed.ncbi.nlm.nih.gov/34697120
  27. Zhang L, Hou J, Ma F-Z, Li J, Xue S, Xu Z-G. The common risk factors for progression and mortality in COVID-19 patients: a meta-analysis. Arch Virol. 2021/04/02. 2021;166(8):2071–87. Available from: https://pubmed.ncbi.nlm.nih.gov/33797621
  28. Lee LY, Cazier J-B, Angelis V, Arnold R, Bisht V, Campton NA, et al. COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study. Lancet (London, England). 2020/05/28. 2020;395(10241):1919–26. Available from: https://pubmed.ncbi.nlm.nih.gov/32473682
  29. Mehta A, Vasudevan S, Parkash A, Sharma A, Vashist T, Krishna V. COVID-19 mortality in cancer patients: a report from a tertiary cancer centre in India. PeerJ. 2021;9:e10599–e10599. Available from: https://pubmed.ncbi.nlm.nih.gov/33552716
  30. Ferrari BL, Ferreira CG, Menezes M, De Marchi P, Canedo J, Melo AC de, et al. Determinants of COVID-19 Mortality in Patients With Cancer From a Community Oncology Practice in Brazil. JCO Glob Oncol. 2021;7:46–55. Available from: https://pubmed.ncbi.nlm.nih.gov/33434066
  31. Chai C, Feng X, Lu M, Li S, Chen K, Wang H, et al. One-year mortality and consequences of COVID-19 in cancer patients: A cohort study. IUBMB Life. 2021/08/29. 2021;73(10):1244–56. Available from: https://pubmed.ncbi.nlm.nih.gov/34318585
  32. Desai A, Gupta R, Advani S, Ouellette L, Kuderer NM, Lyman GH, et al. mortality in hospitalized patients with cancer and coronavirus disease 2019: A systematic review and meta‐analysis of cohort studies. Cancer. 2020;127(9):1459–68. Available from: http://dx.doi.org/10.1002/cncr.33386
  33. Kumar A, Arora A, Sharma P, Anikhindi SA, Bansal N, Singla V, et al. Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis. Diabetes Metab Syndr. 2020/05/06. 2020;14(4):535–45. Available from: https://pubmed.ncbi.nlm.nih.gov/32408118
  34. Wang Y, Chen J, Chen W, Liu L, Dong M, Ji J, et al. Does Asthma Increase the Mortality of Patients with COVID-19?: A Systematic Review and Meta-Analysis. Int Arch Allergy Immunol. 2020/09/22. 2021;182(1):76–82. Available from: https://pubmed.ncbi.nlm.nih.gov/32961539
  35. Du Y, Zhou N, Zha W, Lv Y. Hypertension is a clinically important risk factor for critical illness and mortality in COVID-19: A meta-analysis. Nutr Metab Cardiovasc Dis. 2020/12/11. 2021;31(3):745–55. Available from: https://pubmed.ncbi.nlm.nih.gov/33549450
  36. Zuin M, Rigatelli G, Bilato C, Cervellati C, Zuliani G, Roncon L. Dyslipidaemia and mortality in COVID-19 patients: a meta-analysis. QJM. 2021;114(6):390–7. Available from: https://pubmed.ncbi.nlm.nih.gov/33822215
  37. Zinellu A, Paliogiannis P, Fois AG, Solidoro P, Carru C, Mangoni AA. Cholesterol and Triglyceride Concentrations, COVID-19 Severity, and Mortality: A Systematic Review and Meta-Analysis With Meta-Regression. Front public Heal. 2021;9:705916. Available from: https://pubmed.ncbi.nlm.nih.gov/34490188
  38. Diaz-Arocutipa C, Saucedo-Chinchay J, Argulian E. Association between right ventricular dysfunction and mortality in COVID-19 patients: A systematic review and meta-analysis. Clin Cardiol. 2021/09/16. 2021;44(10):1360–70. Available from: https://pubmed.ncbi.nlm.nih.gov/34528706
  39. Liu Y, Pan Y, Yin Y, Chen W, Li X. Association of dyslipidemia with the severity and mortality of coronavirus disease 2019 (COVID-19): a meta-analysis. Virol J. 2021;18(1):157. Available from: https://pubmed.ncbi.nlm.nih.gov/34315474
  40. Wungu CDK, Khaerunnisa S, Putri EAC, Hidayati HB, Qurnianingsih E, Lukitasari L, et al. Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19. Int J Infect Dis. 2021/03/09. 2021;105:551–9. Available from: https://pubmed.ncbi.nlm.nih.gov/33711519
  41. Srivastava R, Kumar A. Use of aspirin in reduction of mortality of COVID-19 patients: A meta-analysis. Int J Clin Pract. 2021/06/28. 2021;75(11):e14515–e14515. Available from: https://pubmed.ncbi.nlm.nih.gov/34118111
  42. Kollias A, Kyriakoulis KG, Kyriakoulis IG, Nitsotolis T, Poulakou G, Stergiou GS, et al. Statin use and mortality in COVID-19 patients: Updated systematic review and meta-analysis. Atherosclerosis. 2021/06/25. 2021;330:114–21. Available from: https://pubmed.ncbi.nlm.nih.gov/34243953
  43. Fernando ME, Drovandi A, Golledge J. Meta-analysis of the association between angiotensin pathway inhibitors and COVID-19 severity and mortality. Syst Rev. 2021;10(1):243. Available from: https://pubmed.ncbi.nlm.nih.gov/34488897
  44. Hasan SS, Kow CS, Mustafa ZU, Merchant HA. Does methylprednisolone reduce the mortality risk in hospitalized COVID-19 patients? A meta-analysis of randomized control trials. Expert Rev Respir Med. 2021;15(8):1049–55. Available from: http://dx.doi.org/10.1080/17476348.2021.1925546
  45. Dessie ZG, Zewotir T. Mortality-related risk factors of COVID-19: a systematic review and meta-analysis of 42 studies and 423,117 patients. BMC Infect Dis. 2021;21(1):855. Available from: https://pubmed.ncbi.nlm.nih.gov/34418980
  46. Belter CW. Bibliometric indicators: opportunities and limits. J Med Libr Assoc. 2015;103(4):219–21. Available from: https://pubmed.ncbi.nlm.nih.gov/26512227

How to Cite

Husnul Khuluq, Prasandhya Astagiri Yusuf, & Dyah Aryani Perwitasari. (2022). A bibliometric analysis of coronavirus disease (COVID-19) mortality rate. Bali Medical Journal, 11(2), 579–586. https://doi.org/10.15562/bmj.v11i2.3423

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Husnul Khuluq
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Prasandhya Astagiri Yusuf
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Dyah Aryani Perwitasari
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