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Comparison of nanotechnology research for coronaviruses and influenza from 2000 to 2022

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Abstract

In a race to manage the COVID-19 pandemic, innovations in nanomedicine were crucial for vaccine development. This study compares nanotechnology research on coronaviruses (nanocovid) and nanotechnology research on influenza (nanoflu) to understand the unique characteristics and drivers of nanocovid research. The main differences between nanoflu and nanocovid relate to the number of publications. We find that from 2000 to the summer of 2022, there were 3445 nanocovid articles and 1643 nanoflu articles. Moreover, from 2000 to 2018, there was limited nanocovid research, despite prominent coronaviruses such as severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome (MERS). Nanocovid research gained substantial momentum only during the COVID-19 pandemic. Nanoflu research, on the other hand, had consistent but slow growth since 2000. Nanocovid and nanoflu researches are similar in many aspects. The most active countries and institutions researching nanocovid and nanoflu are similar, the research is published in similar journals, and both fields use similar keywords. Despite the severity of influenza on global health and well-being, it receives little attention from nanotechnology researchers. Coronavirus research only got significant attention after the COVID-19 pandemic. These findings show that factors other than disease severity drive research portfolios.

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References

  1. Chauhan G et al (2020) Nanotechnology for COVID-19: therapeutics and vaccine research. ACS Nano 14(7):7760–7782

    Article  CAS  Google Scholar 

  2. Ziqi W et al (2022) Nanotechnology‐facilitated vaccine development during the coronavirus disease 2019 (COVID‐19) pandemic. Exploration 2(5):20210082

  3. National Science and Technology Council (2022) The national nanotechnology initiative supplement to the president’s 2022 Budget. https://www.nano.gov/sites/default/files/NNI-FY22-Budget-Supplement.pdf. Accessed 29 Jun 2023

  4. Mulabbi EN, Tweyongyere R, Byarugaba DK (2021) The history of the emergence and transmission of human coronaviruses. Onderstepoort J Vet Res 88(1):1872

  5. Chiu WT, Huang JS, Ho YS (2004) Bibliometric analysis of severe acute respiratory syndrome-related research in the beginning stage. Scientometrics 61(1):69–77

    Article  CAS  Google Scholar 

  6. World Health Organization (2023) MERS situation update, 2023. https://www.emro.who.int/health-topics/mers-cov/mers-outbreaks.html. Accessed 29 Jun 2023

  7. Prime H, Wade M, Browne DT (2020) Risk and resilience in family well-being during the COVID-19 pandemic. Am Psychol 75(5):631

    Article  Google Scholar 

  8. Hodder A (2020) New technology, work and employment in the era of COVID-19: reflecting on legacies of research. New Technol Work Employ 35(3):262–275). Blackwell Publishing Ltd. https://doi.org/10.1111/ntwe.12173

  9. Greer SL, King EJ, da Fonseca M, Andre Peralta-Santos E (2020) The comparative politics of COVID-19: the need to understand government responses. Glob Public Health 15(9):1413–1416. https://doi.org/10.1080/17441692.2020.1783340?scroll=top&needAccess=true&role=tab&aria-labelledby=full-article

    Article  Google Scholar 

  10. Dattani S, Spooner F (2022) How many people die from the flu. Our World in Data. https://ourworldindata.org/influenza-deaths. Accessed 29 Jun 2023

  11. Centers for Disease Control and Prevention (2022) What is the difference between influenza (flu) and COVID-19? https://www.cdc.gov/flu/symptoms/flu-vs-covid19.htm. Accessed 29 Jun 2023

  12. Iuliano AD, Roguski KM, Chang HH, Muscatello DJ, Palekar R, Tempia S, Cohen C, Gran JM, Schanzer D, Cowling BJ, Wu P, Kyncl J, Ang LW, Park M, Redlberger-Fritz M, Yu H, Espenhain L, Krishnan A, Emukule G, … Mustaquim D (2018) Estimates of global seasonal influenza-associated respiratory mortality: a modelling study.  Lancet 391(10127):1285–1300. https://doi.org/10.1016/S0140-6736(17)33293-2

  13. Coronavirus deaths (2023) Our World in Data. https://ourworldindata.org/covid-deaths. Accessed 29 Jun 2023

  14. Fedson DS, Hirota Y, Shin HK, Cambillard PE, Kiely J, Ambrosch F, ... Strikas RA (1997) Influenza vaccination in 22 developed countries: an update to 1995. Vaccine 15(14):1506–1511

  15. Ganaie SA, Wani JA (2021) Bibliometric analysis and visualization of Nanotechnology Research Field. COLLNET J Scientometr Inform Manag 15(2):445–467. https://doi.org/10.1080/09737766.2021.2008780

    Article  Google Scholar 

  16. Godin B (2006) On the origins of bibliometrics. Scientometrics 69(1):109–133

    Article  Google Scholar 

  17. Kokol P, Blažun Vošner H, Završnik J (2021) Application of bibliometrics in medicine: a historical bibliometrics analysis. Health Inform Libr J 38(2):125–138. https://doi.org/10.1111/hir.12295

    Article  Google Scholar 

  18. Takeda Y, Mae S, Kajikawa Y, Matsushima K (2009) Nanobiotechnology as an emerging research domain from nanotechnology: a bibliometric approach. Scientometrics 80(1):23–38. https://doi.org/10.1007/s11192-007-1897-3

    Article  CAS  Google Scholar 

  19. Chen K, Guan J (2011) A bibliometric investigation of research performance in emerging nanobiopharmaceuticals. J Informetri 5(2):233–247. https://doi.org/10.1016/j.joi.2010.10.007

    Article  Google Scholar 

  20. Wang J, Shapira P (2011) Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology. Scientometrics 87(3):563–586. https://doi.org/10.1007/s11192-011-0362-5

    Article  Google Scholar 

  21. Woodson T, Rodriguez V (2019) Analysis of inequality in nanomedicine using clinical trials and disease burden. Nanomedicine 14(13):1745–1757. https://doi.org/10.2217/nnm-2018-0456

    Article  CAS  Google Scholar 

  22. Cozzens SE, Cortes R, Soumonni O, Woodson T (2013) Nanotechnology and the millennium development goals: water, energy, and agri-food. J Nanopart Res 15(11):1–14. https://doi.org/10.1007/s11051-013-2001-y

    Article  Google Scholar 

  23. Maclurcan DC (2010) Nanotechnology and the hope for a more equitable world: a mixed methods study. Dissertation. University of Technology Sydney

  24. Kostoff RN, Stump JA, Johnson D, Murday JS, Lau CGY, Tolles WM (2006) The structure and infrastructure of the global nanotechnology literature. J Nanoparticle Res 8(3–4):301–321. https://doi.org/10.1007/s11051-005-9035-8

    Article  CAS  Google Scholar 

  25. Liu X, Zhang P, Li X, Chen H, Dang Y, Larson C, Roco M, Wang X (2009) Trends for nanotechnology development in China, Russia, and India. J Nanopart Res 11(8):1845–1866. https://doi.org/10.1007/s11051-009-9698-7

    Article  Google Scholar 

  26. Guan J, Ma N (2007) China’s emerging presence in nanoscience and nanotechnology a comparative bibliometric study of several nanoscience ‘giants.’ Res Policy 36(6):880–886. https://doi.org/10.1016/j.respol.2007.02.004

    Article  Google Scholar 

  27. Zyoud SH (2016) Global research trends of Middle East respiratory syndrome coronavirus: a bibliometric analysis. BMC Infect Dis 16(1): https://doi.org/10.1186/s12879-016-1600-5

  28. Wang Z, Chen Y, Cai G, Jiang Z, Liu K, Chen B, Jiang J, Gu H (2016) A bibliometric analysis of PubMed literature on Middle East respiratory syndrome. Int J Environ Res Public Health 13(6). https://doi.org/10.3390/ijerph13060583

  29. Aristovnik A, Ravšelj D, Umek L (2020) A bibliometric analysis of COVID-19 across science and social science research landscape. Sustainability (Switzerland) 12(21):1–30. https://doi.org/10.3390/su12219132

    Article  CAS  Google Scholar 

  30. Dehghanbanadaki H, Seif F, Vahidi Y, Razi F, Hashemi E, Khoshmirsafa M, Aazami H (2020) Bibliometric analysis of global scientific research on coronavirus (COVID-19). M J Islam Repub Iran 34(1). https://doi.org/10.34171/mjiri.34.51

  31. Farooq R, Rehman S, Ashiq M, Siddique N, Ahmad S (2021) Bibliometric analysis of coronavirus disease (COVID-19) literature published in Web of Science 2019–2020. J Fam Commun Med 28(1). https://doi.org/10.4103/jfcm.jfcm_332_20

  32. Wang P, Tian D (2021) Bibliometric analysis of global scientific research on COVID-19. J Biosaf Biosecur 3(1):4–9. https://doi.org/10.1016/j.jobb.2020.12.002

  33. Zhai F, Zhai Y, Cong C, Song T, Xiang R, Feng T, Liang Z, Zeng Y, Yang J, Yang J, Liang J (2020). Research progress of coronavirus based on bibliometric analysis. Int J Environ Res Public Health 17(11). https://doi.org/10.3390/ijerph17113766

  34. Fan J, Gao Y, Zhao N, Dai R, Zhang H, Feng X, Shi G, Tian J, Chen C, Hambly BD, Bao S (2020) Bibliometric analysis on COVID-19: a comparison of research between English and Chinese studies. Front Public Health 8. https://doi.org/10.3389/fpubh.2020.00477

  35. Jacimovic J, Jakovljevic A, Nagendrababu V, Fergus Duncan H, DummerDummer PMH (2021) A bibliometric analysis of the dental scientific literature on COVID-19. Clin Oral Investig 25:6171–6183. https://doi.org/10.1007/s00784-021-03916-6/Published

    Article  Google Scholar 

  36. Lunardi CN, Subrinho FL, de Freitas Barros MP, Lima RC, de Queiroz Melo ACM, Barbosa D de M, de Negreiros LG, Rodrigues BS, Neiva MS, Linhares JVR, Dalla Costa GF, Gomes A de J (2022) Bibliometric analysis: nanotechnology and COVID-19. Curr Topics Med Chem 22(8):629–638. https://doi.org/10.2174/1568026622666220307125446

    Article  CAS  Google Scholar 

  37. Moulick A, Richtera L, Milosavljevic V, Cernei N, Haddad Y, Zitka O, ... Adam V (2017) Advanced nanotechnologies in avian influenza: current status and future trends–a review.  Anal Chim Acta 983:42–53

  38. Liverani M, Song K, Rudge JW (2023) Mapping emerging trends and South-South cooperation in regional knowledge networks: a bibliometric analysis of avian influenza research in Southeast Asia. J Int Dev. https://doi.org/10.1002/jid.3746

    Article  Google Scholar 

  39. Castillo-Pérez JJ, Muñoz-Valera L, García-Gómez F, Mejía-Aranguré JM (2015) Análisis bibliométrico de la producción científi ca sobre la infl uenza en México. Rev Med Inst Mex Seguro Soc 53(3):294–301

    Google Scholar 

  40. Chen N, Liu Y, Cheng Y, Liu L, Yan Z, Tao L, Guo X, Luo Y, Yan A (2015) Technology resource, distribution, and development characteristics of global influenza virus vaccine: a patent bibliometric analysis. PLoS One 10(9). https://doi.org/10.1371/journal.pone.0136953

  41. Sweileh WM, Al-Jabi SW, Sawalha AF, Abutaha AS, Zyoud SH (2017) Bibliometric analysis of worldwide publications on antimalarial drug resistance (2006–2015). Malaria Research and Treatment. https://doi.org/10.1155/2017/6429410

  42. Falagas ME, Pitsouni EI, Malietzis GA, Pappas G (2008) Comparison of PubMed, Scopus, web of science, and Google scholar: strengths and weaknesses. FASEB J 22(2):338–342

    Article  CAS  Google Scholar 

  43. NCBI (2022) PubMed overview. https://pubmed.ncbi.nlm.nih.gov/about/. Accessed 29 Jun 2023

  44. Arora SK, Porter AL, Youtie J, Shapira P (2012) Capturing new developments in an emerging technology: an updated search strategy for identifying nanotechnology research outputs. Scientometrics 95(1):351–370. https://doi.org/10.1007/s11192-012-0903-6

    Article  Google Scholar 

  45. Aria M, Cuccurullo C (2017) bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetr 11(4):959–975. https://doi.org/10.1016/j.joi.2017.08.00710.1016/j.joi.2017.08.007. (Elsevier)

    Article  Google Scholar 

  46. Linnenluecke MK, Marrone M, Singh AK (2020) Conducting systematic literature reviews and bibliometric analyses. Aust J Manag 45(2):175–194. SAGE Publications Ltd. https://doi.org/10.1177/0312896219877678

  47. Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A (2018) quanteda: an R package for the quantitative analysis of textual data. J Open Source Softw  3(30):774. https://doi.org/10.21105/joss.00774

  48. Ramos J (2003) Using TF-IDF to determine word relevance in document queries. Proc First Instr Conf Mach Learn 242:29–48

    Google Scholar 

  49. BBC News (2022) Covid map: coronavirus cases, deaths, vaccinations by country. https://www.bbc.com/news/world-51235105. Accessed 29 Jun 2023

  50. Soteriades ES, Falagas ME (2005) Comparison of amount of biomedical research originating from the European Union and the United States. BMJ 331(7510):192–194. https://doi.org/10.1136/bmj.331.7510.192

    Article  Google Scholar 

  51. Hou L, Pan Y, Zhu JJH (2021) Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration. J Inform 15(3). https://doi.org/10.1016/j.joi.2021.101194

  52. Monroe-White T, Woodson TS (2016) Inequalities in scholarly knowledge: public value failures and their impact on global science. Afr J Sci Technol Innov Dev 8(2):178–186. https://doi.org/10.1080/20421338.2016.1147204

    Article  Google Scholar 

  53. Hart P, Farrar J (2021) The influenza vaccines roadmap – a better future through improved influenza vaccines. Vaccine 39(45):6570–6572. https://doi.org/10.1016/j.vaccine.2021.09.071. (Elsevier Ltd)

    Article  Google Scholar 

  54. Bellis de N de (2009) Bibliometrics and citation analysis: from the science of citation to cybermetrics. The Scarecrow Press

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Funding

This work was funded by the National Science Foundation grant number 1950645 and grant 1926494.

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Correspondence to Thomas S. Woodson.

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Woodson, T.S., Jha, S. Comparison of nanotechnology research for coronaviruses and influenza from 2000 to 2022. J Nanopart Res 25, 182 (2023). https://doi.org/10.1007/s11051-023-05831-1

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