Listening to Twitter about Adverse Events of the Comirnaty COVID-19 Vaccine during first weeks of immunisation in Poland
DOI:
https://doi.org/10.15503/emet2020.85.92Słowa kluczowe:
infodemiology, epidemiological intelligence, vaccine adverse events, COVID-19Abstrakt
Aim. We perform an exploratory study of how Social Media Listening using simple keywords can be useful in pharmacosurveillance of Adverse Events (AE) of COVID-19 vaccines.
Concept. 43375 Tweets about vaccines during the fi rst weeks of Comirnaty COVID-19 vaccine roll-outs in Poland were collected. We analyse the frequency of occurrence of selected common symptoms by infodemiological (related to self-reporting posts) and compare them with the epidemiological (product summary and post-registration) surveillance in Poland.
Results. The AE keywords posting in Social Media is mainly driven by media interest rather than real burden of AE. The best accordance between infodemiological and epidemiological surveillance was found for systemic reactions, however local and gastric reactions seems to be underrepresented in social media. Conclusion. Infodemiology can be useful in early warning pharmacosurveillance of some AE during massive drug delivery as immunisation. Some keywords of symptoms such as fever or pain seem to be the most promising and due to low cost of monitoring should be incorporated in real-time dashboards for decision makers.
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Bibliografia
Åberg M, Sandberg M. (2017). Social capital and democratisation: roots of trust in postCommunist Poland and Ukraine. Routledge.
Barda, N., Dagan, N., Ben-Shlomo, Y., Kepten, E., Waxman, J., Ohana, R., ... & Balicer, R. (2021). Safety of the BNT162b2 mRNA Covid-19 vaccine in a nationwide setting. New England Journal of Medicine, 385(12), 1078-1090. https://doi.org/10.1056/NEJMoa2110475
Beliga S, Martinčić-Ipšić S, Matešić M, Petrijevčanin Vuksanović I, Meštrović A (2021)
Infoveillance of the Croatian Online Media during the COVID-19 Pandemic: a OneYear Longitudinal NLP Study JMIR Infodemiology. 17/09/2021:31540 (forthcoming/inpress). https://doi.org/10.2196/31540
CDC. (2020). Local Reactions, Systemic Reactions, Adverse Events, and Serious AdverseEvents: Pfi zer-BioNTech COVID-19 Vaccine. Retrieved September 21, 2021, from https://www.cdc.gov/vaccines/covid-19/info-byproduct/pfi zer/reactogenicity.html.
EMA. (2020) COVID-19 mRNA Vaccine Comirnaty - summary of product characteristics. Retrieved September 21, 2021, from https://www.ema.europa.eu/en/documents/product-information/comirnaty-epar-product-information_en.pdf.
Epstein S. (1996). Impure science: AIDS, activism, and the politics of knowledge. Univ of California Press.
Field MG. (2004). HIV and AIDS in the Former Soviet Bloc. New England Journal of Medicine, 351(2):117–120.
Jarynowski, A., Wójta-Kempa, M., & Belik, V. (2020). Trends in interest of COVID-19 on Polish Internet. Epidemiol Rev, 74, 258-275. https://doi.org/10.32394/pe.74.20
Jarynowski, A., Wójta-Kempa, M., Płatek, D., & Czopek, K. (2020). Attempt to understand public health relevant social dimensions of COVID-19 outbreak in Poland. Society Register, 4(3), 7-44. https://doi.org/10.14746/sr.2020.4.3.01
Jarynowski, A., & Wójta-Kempa, M. (2021). Exploring the link between risk perception in internet media and the prevalence of COVID-19 in Europe. International Journal of Infectious Diseases, 103, 450-451. https://doi.org/10.1016/j.ijid.2020.12.001
Jarynowski, A., & Skawina, I. (2021). Attempt at profi ling and regionalisation of COVID-19 vaccine campaigns in Poland–preliminary results. Eur J Transl Clin Med, 4(1), 13-21. https://doi.org/10.31373/ejtcm/134674
Jarynowski A, Semenov A, Kamiński M, Belik V. (2021). Mild Adverse Events of Sputnik V Vaccine Extracted from Russian Language Telegram Posts via BERT Deep Learning Model, J Med Internet Res. 18/05/2021:30529 (forthcoming/in press). https://doi.org/10.2196/30529
Jarynowski A, (2021). Phenomenon of participatory “guerilla” epidemiology in postcommunist European countries. Baltic Rim Economies 3, Retrieved September 21, 2021, from https://sites.utu.fi /bre/phenomenon-of-participatory-guerilla-epidemiologyin-post-communist-european-countries/.
Jemielniak, D., & Krempovych, Y. (2021). An analysis of AstraZeneca COVID-19 vaccine misinformation and fear mongering on Twitter. Public Health. 200, 4-6, https://doi.org/10.1016/j.puhe.2021.08.019
IBI. (2021). Analiza korzyści i ryzyka szczepień w Polsce [Risk-Benefi t analysis of vaccination in Poland]. Retrieved September 21, 2021 from http://interdisciplinary-research.eu/analiza-korzysci-i-ryzyka-szczepien-w-polsce.
Klimiuk K, Czoska A, Biernacka K, Balwicki L. (2021) Vaccine misinformation on social media–topic based content and sentiment analysis of Polish vaccine-deniers’ comments on Facebook. Human Vaccines & Immunotherapeutics. 1–10. https://doi.org/10.1080/21645515.2020.1850072
Kowalski P. (2011). About the inevitable: excrement and defecation (in Polish). O tym, co nieuniknione: ekskrementy i defekacja. Colloquia Anthropologica et Communicativa; 4:19–41. Retrieved September 21, 2021, from https://wuwr.pl/cac/article/view/809/782.
Krztoń, W. (2015). XXI wiek–wiekiem społeczeństwa informacyjnego. Publishing House of Rzeszow University of Technology, 101.
Lyu JC, Han EL, Luli GK (2021) COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis. J Med Internet Res; 23(6):e24435. https://doi.org/10.2196/24435
MZ. (2021). NOP – niepożądany odczyn poszczepienny. Czym jest i jak często występuje? [NOP - adverse vaccine reaction. What is it and how common is it?]. Retrieved September 21, 2021, from https://www.gov.pl/web/szczepimysie/niepozadane-odczyny-poszczepienne
PEW. (2020). Public Views About Science in Former communistic countries. Retrieved September 21, 2021, from https://www.pewresearch.org/science/2020/09/29/science-and-scientists-held-in-high-esteem-across-global-publics/
Shimabukuro, T. T., Kim, S. Y., Myers, T. R., Moro, P. L., Oduyebo, T., Panagiotakopoulos, , ... & Meaney-Delman, D. M. (2021). Preliminary fi ndings of mRNA Covid-19 vaccine safety in pregnant persons. New England Journal of Medicine, 384(24), 2273-2282. https://doi.org/10.1056/nejmoa2104983
Sycińska-Dziarnowska, M., Paradowska-Stankiewicz, I., & Woźniak, K. (2021). The
Global Interest in Vaccines and Its Prediction and Perspectives in the Era of COVID19. Real-Time Surveillance Using Google Trends. International Journal of Environmental Research and Public Health, 18(15), 7841. https://doi.org/10.3390/ijerph18157841
WHO. (2018) Technical Contributors To The June Who Meeting. A definition for community-based surveillance and a way forward: results of the WHO global technical meeting, France, 26 to 28 June 2018. Euro Surveill. 2019;24(2):1800681. https://doi.org/10.2807/1560-7917.ES.2019.24.2.1800681
WHO. (2021). Early AI-supported Response with Social Listening, Retrieved September 21, 2021, from https://whoinfodemic.citibeats.com
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Prawa autorskie (c) 2021 ANDRZEJ JARYNOWSKI, KATARZYNA KACZMAR, MARTYNA MADEJ
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa 4.0 Międzynarodowe.
