Global Big Data confirm Remdesivir to be a Recommended Antiviral Drug to Fight COVID-19

Maslichah Mafruchati

Abstract

COVID-19 is the latest deadly virus to haunt the world. The virus is so contagious it needs a precise drug for treating patients who contract it. The purpose of this study is to observe trends and relevant points of information about Remdesivir in global big data. This article describes a new method of collecting data, namely data mining from Google trends. The subjects under consideration is how Remdesivir is used in the USA, Russia, and India, as they are the current countries with the most COVID-19-positive cases. This method enabled us to discover how many topics on the internet related to Remdesivir, as well as how strong the relevance of this topic was in those three countries. The results shows that the USA had the biggest relevance score in the information search (8.86 points), but the information trends were quite static. Russia had fluctuating trends but the lowest relevance score. India had a dynamic trend recently and a higher relevance score than Russia. It can be concluded that medical authorities are the cause behind information trends for Remdesivir in these three countries that have approved clinical trials for the use of Remdesivir as a COVID-19 treatment.

 


Keywords: Remdesivir, USA, Russia, India, Trends, Relevance.

 

 

DOI:https://doi.org/10.35741/issn.0258-2724.55.4.43


Full Text:

PDF


References


CDC COVID-19 RESPONSE TEAM. (2020) Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) - United States, February 12-March 16, 2020. Morbidity and mortality weekly report; 69, pp. 343–346. DOI: 10.15585/mmwr.mm6912e2

ROTHAN H. A. and SIDDAPPA, N. (2020) The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity, 109, 102433. DOI: 10.1016/j.jaut.2020.102433

DAI Y., HU G., XIONG H., Qui, H., YUAN, X. (2020, March 27) Psychological impact of the coronavirus disease 2019 (COVID-19) outbreak on healthcare workers in China. medRxiv preprint [Online] Available from: https://www.researchgate.net/publication/339764731_Psychological_impact_of_the_coronavirus_disease_2019_COVID-19_outbreak_on_healthcare_workers_in_China

DOI: 10.1101/2020.03.03.20030874

GORDON C. J. , TCHESNOKOV E. P. , FENG, J. Y. , PORTER, D.P. and GÖTTE M.. The antiviral compound Remdesivir potently inhibits RNA-dependent RNA polymerase from Middle East respiratory syndrome coronavirus. Journal of Biological Chemistry, 295(15), pp. 4773-4779. DOI: 10.1074/jbc.AC120.013056

WU J. T., LEUNG K., BUSHMAN M., KISHORE, N., NIEHUS, R., DESALAZAR P.M. et al. (2020) Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China. Nature Medicine, 26, pp.506–510

TCHESNOKOV E. P., FENG J. Y., PORTER, D.P. and GÖTTE M.. (2019) Mechanism of inhibition of Ebola virus RNA-dependent RNA polymerase by Remdesivir. Viruses, 11(4): 326. DOI: 10.3390/v11040326

YAMEY G., and GONSALVES, G. (2020) Donald Trump: a political determinant of COVID-19. British Medical Journal 369, Article m1643. DOI: 10.1136/bmj.m1643

LIN L., and HOU, Z. (2020) Combat COVID-19 with artificial intelligence and big data. Journal of Travel Medicine, 27(5). Published online May 21 : taaa080 DOI: 10.1093/jtm/taaa080

WANG C. J., NG C.Y., and BROOK R.H. (2020) Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. Jama, 323, pp. 1341–1342.

WARDHANA A. K. (2020) Information search trends about sharia: a comparation study between business-industry genre with book-literature genre. Journal of Halal Products and resourse, 3, pp.35–42.

WIDJAJA A.E., CHEN J.V., SUKOCO B.M., QUANG-AN, H. Understanding users’ willingness to put their personal information on the personal cloud-based storage applications: An empirical study. Computers in Human Behavior, 91, pp.167–185.

RADANLIEV P., DE ROUR, D, WALTON, R., VAN KLEEK, M., SANTOS, O., MONTALVO, R. M., LA’TREALL M. (2020) What country, university or research institute, performed the best on COVID-19? Bibliometric analysis of scientific literature. Oxford: Department of Engineering Sciences, University of Oxford.

EL MOHADAB, M., BOUIKHALENE, B., SAFI, S. (2020, June 30) Bibliometric method for mapping the state of the art of scientific production in Covid-19. Chaos, Solitons and Fractals, 139:110052. vailable from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324352/ DOI: 10.1016/j.chaos.2020.110052.

ZHAO, Y,, CHENG, S,, YU, X., XU, H. (2020, May 04) Chinese public’s attention to the COVID-19 epidemic on social media: observational descriptive study. Journal of Medical Internet Research, 22(5). Available from: https://www.jmir.org/2020/5/e18825/. DOI: 10.2196/18825

LEUNG C. K-S. (2019) Big data analysis and mining. In: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics. Hershey, Pennsylvania: IGI Global, pp. 15–27.

FLYVERBOM, M., DEIBERT, R., MATTEN, D. (2019) The governance of digital technology, big data, and the Internet: New roles and responsibilities for business. Business and Society, 58, pp. 3–19.

MOORTHY, V., RESTREPO, A.M.H., PREZIOSI ,M.-P., SWAMINATHAN, S. (2020) Data sharing for novel coronavirus (COVID-19). Bulletin of the World Health Organization, 98(3), p.150. DOI: 10.2471/BLT.20.251561

YIN, W., MAO, C., LUAN, X., SHEN, D.-D., SU, H., WANG, X., et al. Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by Remdesivir. Science, 368(6498), pp.1499-1504. DOI: 10.1126/science.abc1560 3

HORRELL, L.N., LAZARD, A.J., BHOWMICK, A., HAYES, S., MEES, S., VALLE, C.G. (2019, Nov.4) Attracting Users to Online Health Communities: Analysis of LungCancer. net’s Facebook Advertisement Campaign Data. Medical Internet Research 21(11): e14421. Available from: https://pubmed.ncbi.nlm.nih.gov/31682589/

DOI: 10.2196/14421.

YAO, L., SHENG, Q.Z., NGU, A. H. H., AND LI, X. (2016). Things of interest recommendation by leveraging heterogeneous relations in the internet of things. ACM Transactions on Internet Technology, 16 (2), pp.1-25.

ELLYAT, H. (2020, May 14) Russia says search for a coronavirus treatment should not be a medical ‘arms race’. [Online] Available from: https://www.cnbc.com/2020/05/14/russia-coronavirus-treatment-favipiravir-showing-promising-results.html [Accessed 08/09/20].

SHARMA, U. (2020, June 12) Remdesivir in India: An unfolding story. [Online] Available from: https://www.expresspharma.in/covid19-updates/remdesivir-in-india-an-unfolding-story/

[Accessed 13/09/20].

IMN, P.A.N. (2020) Depiction of connection between library and information science in articles published by universitas airlangga’s academics. International Journal of Creativity Innovation and Change, 12(12), pp. 963–976.


Refbacks

  • There are currently no refbacks.