1. bookVolume 12 (2021): Issue 2 (December 2021)
Journal Details
License
Format
Journal
eISSN
2255-7547
First Published
14 Jun 2012
Publication timeframe
2 times per year
Languages
English
access type Open Access

Actual State of COVID-19 Strategy Meetings

Published Online: 30 Dec 2021
Page range: 96 - 107
Journal Details
License
Format
Journal
eISSN
2255-7547
First Published
14 Jun 2012
Publication timeframe
2 times per year
Languages
English
Abstract

The authors of this paper applied a new approach combining text mining and principal component analysis (PCA) to objectively determine the actual state of regional COVID-19 strategy meetings and verified its utility. The authors used text mining to analyze meeting minutes and extracted words with high phase ubiquity by co-occurrence analysis. Then, they selected words symbolizing the meeting contents (“report,” “prevention,” “rules,” and “decision”) and performed PCA using the occurrence rates of these words as variables. Two principal components (PC1, PC2) were set. For PC1, we observed maximum factor loading for “decision” (0.81) and minimum for “report” (-0.72), so we considered this axis to show the “depth of meeting discussions.” For PC2, we observed maximum factor loading for “prevention” (0.81) and minimum for “rule” (-0.76). We considered this axis to show “regional infection status.” When we created a plot of all 44 meetings, Phase 1 occurred in quadrants 3 to 4 (knowledge sharing), phase 2 began in quadrant 1 (preparation for spread), and phase 3 shifted to quadrant 2 (response to spread) with significant differences between these phases. Our findings suggest that the actual state of regional COVID-19 strategy meetings could be objectively determined by using a combination of text mining and PCA.

Keywords

Abegaz, F., Chaichoompu, K., Génin, E., Fardo, D. W., König, I. R., John, J. M. M., & Van Steen, K. (2019). Principals about principal components in statistical genetics. Brief Bioinform, 20(6), 2200–2216. https://doi.org/10.1093/bib/bby081 Search in Google Scholar

Alameda-Hernández, Á. (2008). SFL and CDA: Contributions of the analysis of the transitivity system in the study of the discursive construction of national identity (case study: Gibraltar). The Linguistics Journal, 3(3), 160–175. Search in Google Scholar

Blaschke, C., Yeh, A., Hirschman, L., & Valencia, A. (2003). ISMB 2003 Text mining SIG meeting report. Computer Funct Genomics, 4, 667–673. https://doi.org/10.1002/cfg.338 Search in Google Scholar

Clark, N. R., & Ma’ayan, A. (2011). Introduction to statistical methods to analyze large data sets: Principal components analysis. Science Signaling, 4(190), 3. https://doi.org/10.1126/scisignal.2001967 Search in Google Scholar

Dancy-Scott, N., Dutcher, G. A., Keselman, A., Hochstein, C., Copty, C., Ben-Senia, D., Rajan, S., Asencio, M. G., & Choi, J. J. (2018). Trends in HIV terminology: Text mining and data visualization assessment of International AIDS Conference abstracts over 25 years. JMIR Public Health Surveill, 4, e50. https://doi.org/10.2196/publichealth.8552 Search in Google Scholar

David, C. C., & Jacobs, D. J. (2014). Principal component analysis: A method for determining the essential dynamics of proteins. Methods in Molecular Biology, 1084, 193–226. https://doi.org/10.1007/978-1-62703-658-0_11 Search in Google Scholar

de Quadros, L. G., Kaiser Jr., R. L. K., Neto, M. D. P. G., Campos, J. M., de Santana, M. F., & Ferraz, A. A. B. (2016). Long-term postoperative endoscopic findings after gastric bypass procedure: A co-occurrence analysis. https://doi.org/10.1590/s0004-28032016000400012 Search in Google Scholar

Foucault, M. (1981). The order of discourse. In R. Young (Ed.), Untying the text: A post-structural anthology (pp. 48–78). Boston: Routledge & Kegan Paul. Search in Google Scholar

Heasly, B., Lindner, J., Iliško, D., & Salīte, I. (2020). From initiatives, to insights, to implementation of the sustainability and securitability agenda for 2030. Discourse and Communication for Sustainable Education, 11(1), 1–4. Search in Google Scholar

Hall, S. (1997). The work of representation. In S. Hall (Ed.), Representation: Cultural representations and signifying practices (pp. 13–74). London: Sage and The Open University. Search in Google Scholar

Janz, K. F. (2006). Physical activity in epidemiology: Moving from questionnaire to objective measurement. British Journal of Sports Medicine, 40, 191–192. https://doi.org/10.1136/bjsm.2005.023036 Search in Google Scholar

Jeroen, J. A., David, A. M., Pieter, L. A., Bart, L. H., Mart, M. L., Nisreen, O., Johannes, P. C., Henrik, E., Diederik, A. M., Jan, J. C., Rogier, A. S., Menno, M. V., Dennis, A. H., Herold, J. M., Annelies, V., Jurriaan, E. M., Gerorgina, I. A., Eric, C. M., Sander, V. B., Ö Annemiek, A. V. (2021). Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19). Nature Communications, 12, 267. https://doi.org/10.1038/s41467-020-20568-4 Search in Google Scholar

Jodoin, J., & Singer, J. (2020). Mainstreaming education for sustainable development in English as a foreign language: An analysis of the image-text interplay found in EFL textbooks in Japanese higher education. In W. L. Filho, A. L. Salvia, R. W. Pretorius, L. L. Brandli, E. Manolas, F. Alves, U. Azeiteiro, J. Rogers, C. Shiel, & A. Do Paco (Eds.), Universities as living labs for sustainable development (pp. 545–565). Cham: Springer. Search in Google Scholar

Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: a review and recent developments. Philosophical Transactions of the Royal Society A, 374, 20150202. https://doi.org/10.1098/rsta.2015.0202 Search in Google Scholar

Junge, A., & Jensen, L. J. (2020). CoCoScore: Context-aware co-occurrence scoring for text mining applications using distant supervision. Bioinformatics, 36(1), 264–271. https://doi.org/10.1093/bioinformatics/btz490 Search in Google Scholar

Koch, M., Lunde, L.-K., Gjulem, T., Knardahl, S., & Veiersted, K. B. (2016). Validity of questionnaire and representativeness of objective methods for measurements of mechanical exposures in construction and health care work. PLoS One, 11, e0162881. https://doi.org/10.1371/journal.pone.0162881 Search in Google Scholar

Martins, T. D., Annichino-Bizzacchi, J. M., Romano, A. V. C., & Filho, R. M. (2019). Principal component analysis on recurrent venous thromboembolism. Clinical and Applied Thrombosis/Hemostasis, 25, 1076029619895323. https://doi.org/10.1177/1076029619895323 Search in Google Scholar

Maskery, S. M., Zhang, Y., Jordan, R. M., Hu, H., Hooke, J. A., Shriver, C. D., & Liebman, M. N. (2006). Co-occurrence analysis for discovery of novel breast cancer pathology patterns. IEEE IEEE Transactions on Information Technology in Biomedicine, 10(3), 497–503. https://doi.org/10.1109/titb.2005.863863 Search in Google Scholar

Mochizuki, Y., & Fadeeva, Z. (2010). Competences for sustainable development and sustainability: Significance and challenges for ESD. International Journal of Sustainability in Higher Education, 11(4), 391–403. Search in Google Scholar

Pavlopoulos, G. A., Promponas, V. J., Ouzounis, C. A., & Iliopoulos, I. (2014). Biological information extraction and co-occurrence analysis. Methods in Molecular Biology, 1159, 77–92. https://doi.org/10.1007/978-1-4939-0709-0_5 Search in Google Scholar

Przybyła, P., Shardlow, M., Aubin, S., Bossy, R., de Castilho, R. E., Piperidis, S., McNaught, J., & Ananiadou, S. (2016). Text mining resources for the life sciences. Database (Oxford), 2016, baw145. https://doi.org/10.1093/database/baw145 Search in Google Scholar

Renganathan, V. (2017). Text mining in biomedical domain with emphasis on document clustering. Healthcare Informatics Research, 23, 141–146. https://doi.org/10.4258/hir.2017.23.3.141 Search in Google Scholar

Salīte, I. (2008). Educational action research for sustainability: Constructing a vision for the future in teacher education. Journal of Teacher Education for Sustainability, 10, 5–16. Search in Google Scholar

Salīte, I. (2016). Searching for sustainability in teacher education and educational research: Experiences from the Baltic and Black Sea Circle Consortium for educational research. Discourse and Communication for Sustainable Education, 6(1), 21–29. Search in Google Scholar

Scheier, I. H., & Cattell, R. B. (1958). Confirmation of objective test factors and assessment of their relation to questionnaire factors: A factor analysis of 113 rating, questionnaire and objective test measurements of personality. The Journal of Mental Science, 104, 608–624. https://doi.org/10.1192/bjp.104.436.608 Search in Google Scholar

Sell, S. L., Widen, S. G., Prough, D. S., & Hellmich, H. L. (2020). Principal component analysis of blood microRNA datasets facilitates diagnosis of diverse diseases. PLoS One, 15, e0234185. https://doi.org/10.1371/journal.pone.0234185 Search in Google Scholar

Zhao, J., Li, Z., Gao, Q., Zhao, H., Chen, S., Huang, L., Wang, W., & Wang, T. (2021). A review of statistical methods for dietary pattern analysis. Nutrition Journal, 20, 37. https://doi.org/10.1186/s12937-021-00692-7 Search in Google Scholar

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