Tecnologia e inovação na pandemia da Covid-19: uma análise bibliométrica

Tássia Teles Santana de  Macêdo; Cátia Suely  Palmeira; Nícolas Vinícius Rodrigues  Veras

doi:10.33448/rsd-v11i14.36647

Authors

Tássia Teles Santana de Macêdo Escola Bahiana de Medicina e Saúde Pública https://orcid.org/0000-0003-2423-9844
Cátia Suely Palmeira Escola Bahiana de Medicina e Saúde Pública http://orcid.org/0000-0001-6328-8118
Nícolas Vinícius Rodrigues Veras Universidade Federal do Rio Grande do Norte https://orcid.org/0000-0002-6102-7309

DOI:

https://doi.org/10.33448/rsd-v11i14.36647

Keywords:

Technology; Innovation; Health; Covid-19.

Abstract

This article aims to analyze the Brazilian scientific production regarding technology and innovation applied to health in the COVID-19 pandemic. Bibliometric study that analyzed national publications, with emphasis on authors, institutions, journals, area of knowledge, year of publication, and mapping of the co-occurrence of keywords, recorded in the Web of Science (WoS) database. The keywords were used: "Technology", "Innovation", "Health" (in Portuguese and English), "COVID-19", "Coronavirus", and "SARS-CoV-2". Descriptive statistical analysis comprised the period from 2019 to 2022, and was supported by Excel and VOSviewer software. The results of this research show that the publications were concentrated in the year 2021 (60.0%), in the Public Environmental Occupational Health category of WoS (22.2 %), in universities in Southeast Brazil, with emphasis on the University of São Paulo (22.5%), in the journal Revista da Sociedade Brasileira de Medicina Tropical (2.4%) and in the authors Giovanetti, M., Ciccozzi, M. & Durigon, E. L., and these authors together produced another 50 published articles. In the co-occurrence map, it was possible to identify the set of keywords that characterize the development of technology and innovation in health during the COVID-19 pandemic, with emphasis on the development of vaccines, therapies and diagnostic tests to face nt of the pandemic. In this way, it is concluded that the Brazilian scientific production on technology and innovation during the COVID-19 pandemic was produced in multidisciplinary articles and was mainly focused on the area of diagnosis, treatment, and vaccine. However, it reinforces the need to advance these studies with different methods in the context discussed.

References

Ahmad, T., Murad, M. A., Baig, M., & Hui, J. (2021). Research trends in COVID-19 vaccine: a bibliometric analysis. Human Vaccines & Immunotherapeutics, 17(8), 2367–2372. https://doi.org/10.1080/21645515.2021.1886806

Benvenuto, D., Giovanetti, M., Ciccozzi, A., Spoto, S., Angeletti, S., & Ciccozzi, M. (2020). The 2019-new coronavirus epidemic: Evidence for virus evolution. Journal of Medical Virology, 92(4), 455–459. https://doi.org/10.1002/jmv.25688

Brasil, M. D. S. (2022a). Com vacina nacional, Brasil avança na autossuficiência para produção de imunizantes contra Covid-19. Retrieved from https://www.gov.br/saude/pt-br/assuntos/noticias/2022/fevereiro/com-vacina-nacional-brasil-avanca-na-autossuficiencia-para-producao-de-imunizantes-contra-covid-19#:~:text=O Brasil deu mais um,país na produção de imunizantes.

Brasil, M. D. S. (2022b). Painel Coronavírus do Ministério da Saúde. https://covid.saude.gov.br/

Corburn, J., Vlahov, D., Mberu, B., Riley, L., Caiaffa, W. T., Rashid, S. F., & Ayad, H. (2020). Slum Health: Arresting COVID-19 and Improving Well-Being in Urban Informal Settlements. Journal of Urban Health, 97(3), 348–357. https://doi.org/10.1007/s11524-020-00438-6

De Moraes, E. M. I., De Almeida, L. H. A., & Giordani, E. (2020). COVID-19: Nursing care in an intensive care unit. Scientia Medica, 30(1), 1–11. https://doi.org/10.15448/1980-6108.2020.1.38468

DeCS. (2016). Descritores em Ciências da Saúde. Retrieved from http://decs.bvsalud.org

Droescher, F. D., & Da Silva, E. L. (2014). O pesquisador e a produção científica. Perspectivas Em Ciencia Da Informacao, 19(1), 170–189. https://doi.org/10.1590/S1413-99362014000100011

Duarte-Neto, A. N., Monteiro, R. A. A., da Silva, L. F. F., Malheiros, D. M. A. C., de Oliveira, E. P., Theodoro-Filho, J., & Dolhnikoff, M. (2020). Pulmonary and systemic involvement in COVID-19 patients assessed with ultrasound-guided minimally invasive autopsy. Histopathology, 77(2), 186–197. https://doi.org/10.1111/his.14160

Eck, N. J. Van, & Waltman, L. (2018). VOSviewer Manual. (CWTS Meaningful Metrics, Ed.). Universiteit Leiden.

ElHawary, H., Salimi, A., Diab, N., & Smith, L. (2020). Bibliometric Analysis of Early COVID-19 Research: The Top 50 Cited Papers. Infectious Diseases: Research and Treatment, 13, 117863372096293. https://doi.org/10.1177/1178633720962935

Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z

Fan, J., Gao, Y., Zhao, N., Dai, R., Zhang, H., Feng, X., & Bao, S. (2020). Bibliometric Analysis on COVID-19: A Comparison of Research Between English and Chinese Studies. Frontiers in Public Health, 8(August), 1–10. https://doi.org/10.3389/fpubh.2020.00477

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. Journal of Family and Community Medicine, 28(1), 1. https://doi.org/10.4103/jfcm.jfcm_332_20

Figueredo, W. N., de Macêdo, T. T. S., Cardoso, G. M. P., & Sorte Fernandes, E. T. B. (2020). Bibliometric analysis of brazilian production on COVID-19. Revista Baiana de Enfermagem, 34, 1–9. https://doi.org/10.18471/rbe.v34.37107

Fukuti, P., Uchôa, C. L. M., Mazzoco, M. F., da Cruz, I. D. G., Echegaray, M. V. F., Humes, E. de C., & Corchs, F. (2021). COMVC-19: A program to protect healthcare workers’ mental health during the COVID-19 pandemic. what we have learned. Clinics, 76. https://doi.org/10.6061/clinics/2021/e2631

Gao, Y., Ge, L., Shi, S., Sun, Y., Liu, M., Wang, B., & Tian, J. (2019). Global trends and future prospects of e-waste research: a bibliometric analysis. Environmental Science and Pollution Research, 26(17), 17809–17820. https://doi.org/10.1007/s11356-019-05071-8

Garibaldi, P. M. M., Ferreira, N. N., Moraes, G. R., Moura, J. C., Espósito, D. L. A., Volpe, G. J., & Borges, M. C. (2021). Efficacy of COVID-19 outbreak management in a skilled nursing facility based on serial testing for early detection and control. The Brazilian Journal of Infectious Diseases, 25(2), 101570. https://doi.org/10.1016/j.bjid.2021.101570

Giménez-Espert, M. del C., & Padro-Gascó, V. J. (2019). Bibliometric analysis of six nursing journals from the Web of Science, 2012 – 2017. J Adv Nurs, 75, 543–554. https://doi.org/10.1111/jan.13868

Góes, F. G. B., da Silva, A. C. S. S., Dos Santos, A. S. T., Pereira-Ávila, F. M. V., da Silva, L. J., da Silva, L. F., & Goulart, M. de C. e. L. (2020). Challenges faced by pediatric nursing workers in the face of the covid-19 pandemic. Revista Latino-Americana de Enfermagem, 28, 1–9. https://doi.org/10.1590/1518-8345.4550.3367

Heller, L., Mota, C. R., & Greco, D. B. (2020). COVID-19 faecal-oral transmission: Are we asking the right questions? Science of the Total Environment, 729, 138919. https://doi.org/10.1016/j.scitotenv.2020.138919

Hutchins, B. I., Yuan, X., Anderson, J. M., & Santangelo, G. M. (2016). Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level. PLoS Biology, 14(9), 1–25. https://doi.org/10.1371/journal.pbio.1002541

Iqbal, W., Qadir, J., Tyson, G., Mian, A. N., Hassan, S., & Crowcroft, J. (2019). networking research. Scientometrics, 119(2), 1121–1155. https://doi.org/10.1007/s11192-019-03086-z

Jornal da USP. (2020). USP esta entre as 20 instituições que mais publicam sobre covid no mundo. Universidade de São Paulo. https://jornal.usp.br/ciencias/usp-esta-entre-as-20-instituicoes-que-mais-publicam-sobre-covid-no-mundo/.

Laboratório de Inovação Tecnológica em Saúde. (2022). Plataforma Coronavírus RN. Retrieved from https://covid.lais.ufrn.br/

Li, K., Rollins, J., & Yan, E. (2018). Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis. Scientometrics, 115(1), 1–20. https://doi.org/10.1007/s11192-017-2622-5

Loureiro, L. H., Andrighi, T. A. G., Sepp, V. J., & Silva, I. C. M. da. (2016). Estudo bibliométrico sobre produções científicas na saúde com abordagem na inovação e tecnologia: Tencências e perspectivas. Acta Scientiae & Technicae, 4(2).

Merigó, J. M., Miranda, J., Modak, N. M., & Boustras, G. (2019). Forty years of Safety Science: A bibliometric overview. Safety Science, 115(January), 66–88. https://doi.org/10.1016/j.ssci.2019.01.029

Meyts, I., Bucciol, G., Quinti, I., Neven, B., Fischer, A., Seoane, E., & Tangye, S. G. (2021). Coronavirus disease 2019 in patients with inborn errors of immunity: An international study. Journal of Allergy and Clinical Immunology, 147(2), 520–531. https://doi.org/10.1016/j.jaci.2020.09.010

Nakada, L. Y. K., & Urban, R. C. (2020). COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil. Science of The Total Environment, 730(January), 139087. https://doi.org/10.1016/j.scitotenv.2020.139087

Neto, M. L. R., Almeida, H. G., Esmeraldo, J. D. ar., Nobre, C. B., Pinheiro, W. R., de Oliveira, C. R. T., & Silva, C. G. L. (2020). When health professionals look death in the eye: the mental health of professionals who deal daily with the 2019 coronavirus outbreak. Psychiatry Research, 288(April), 2–4. https://doi.org/10.1016/j.psychres.2020.112972

OPAS/OMS Brasil. (2020). Folha informativa – COVID-19 (doença causada pelo novo coronavírus).

Pecanha, T., Goessler, K. F., Roschel, H., & Gualano, B. (2020). Social isolation during the COVID-19 pandemic can increase physical inactivity and the global burden of cardiovascular disease. American Journal of Physiology - Heart and Circulatory Physiology, 318(6), H1441–H1446. https://doi.org/10.1152/ajpheart.00268.2020

Rede CoVida. (2022). Rede CoVida - Ciência, Informação e Solidariedade. Retrieved from https://cidacs.bahia.fiocruz.br/plataforma/rede-covida/

Shi, J. gang, Miao, W., & Si, H. (2019). Visualization and analysis of mapping knowledge domain of urban vitality research. Sustainability (Switzerland), 11(4). https://doi.org/10.3390/su11040988

Sidone, O. J. G., Haddad, E. A., & Mena-Chalco, J. P. (2016). A ciência nas regiões brasileiras: evolução da produção e das redes de colaboração científica. Transinformacao, 28(1), 15–31. https://doi.org/10.1590/2318-08892016002800002

Thomaz, P. G., Assad, R. S., & Moreira, L. F. P. (2011). Uso do Fator de impacto e do índice H para avaliar pesquisadores e publicações. Arquivos Brasileiros de Cardiologia, 96(2), 90–93. https://doi.org/10.1590/s0066-782x2011000200001

Ulrich, H., & Pillat, M. M. (2020). CD147 as a Target for COVID-19 Treatment: Suggested Effects of Azithromycin and Stem Cell Engagement. Stem Cell Reviews and Reports, 16(3), 434–440. https://doi.org/10.1007/s12015-020-09976-7

Universidade de São Paulo. (2022). COVID-19 DataSharing/BR. Retrieved from https://repositoriodatasharingfapesp.uspdigital.usp.br/

Valentim, R. A. de M., Lima, T. S., Cortez, L. R., Barros, D. M. da S., da Silva, R. D., de Paiva, J. C., & de André, F. R. (2021). The relevance a technology ecosystem in the brazilian national health service’s covid-19 response: The case of rio grande do norte, brazil. Ciencia e Saude Coletiva, 26(6), 2035–2052. https://doi.org/10.1590/1413-81232021266.44122020

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Vargas, M. A., Mrejen, M., & Alves, N. G. (2021). Ciência, tecnologia e inovação em tempos de pandemia: implicações da Covid-19. CADERNOS Do DESENVOLVIMENTO, 28, 145–172. https://doi.org/10.5212/olharprofr.v.23.2020.15843.209209226104.0607

Viveiros Rosa, S. G., & Santos, W. C. (2020). Clinical trials on drug repositioning for COVID-19 treatment. Revista Panamericana de Salud Publica/Pan American Journal of Public Health, 44, 1–7. https://doi.org/10.26633/RPSP.2020.40

Web of Science. (2022). Web of Science Research Areas. Retrieved from https://incites.help.clarivate.com/Content/Research-Areas/wos-research-areas.htm

WHO. (2020). WHO Coronavirus Disease (COVID-19) Dashboard. https://covid19.who.int/?gclid=Cj0KCQjw0rr4BRCtARIsAB0_48NwgEQCXdRwXpcRD3ne2z-3IWkHV7cKSuZaitCD93U2ncwTGnztLwAaAsmmEALw_wcB

World Health Organization. (2022). WHO Coronavirus (COVID-19) Dashboard. https://covid19.who.int/