Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
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Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
.

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Objetivo. Realizar una revisión de literatura de 165 artículos científicos publicados en Scopus que abordan el papel de las redes sociales en escenarios de pandemia o epidemia. Metodología. Se utilizó la bibliometría para extraer indicadores de literatura y mapas que evidencian corrientes de investigación y palabras más frecuentes. Resultados. El análisis bibliométrico permitió identificar un crecimiento significativo del tema, el cual coincide conla primera ola del coronavirus en Europa y América. De igual manera se identifica que gran parte de los estudios se enfocan en analizar el tipo de información que se divulga sobre la COVID-19 en redes sociales. Conclusiones. Esta investigación señala la importancia de adelantar futuros estudios en... Ver más

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Revista Perspectiva Empresarial

2389-8186

2389-8194

Jiménez Zarco , Ana

Arango Pastrana, Carlos Alberto

Osorio Andrade, Carlos

CEIPA BUSINESS SCHOOL

10.16967/23898186.742

8

2021-12-06

35

52

Colombia

comunicação

pandemia

epidemia

doença transmissíve

desinformação

meios sociais

pandemia

epidemia

enfermedad transmisible

desinformación

medios sociales

comunicación

http://purl.org/coar/access_right/c_abf2

info:eu-repo/semantics/openAccess

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

Revista Perspectiva Empresarial - 2022

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spelling Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
Li, C. et al. (2020). Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020. Eurosurveillance, 25(10), 2000199. https://doi.org/10.2807/1560-7917.ES.2020.25.10.2000199
Raven, J., Wurie, H. and Witter, S. (2018). Health workers' experiences of coping with the Ebola epidemic in Sierra Leone's health system: a qualitative study. BMC Health Services Research, 18(251). https://doi.org/10.1186/s12913-018-3072-3
Pérez, J.-A., Meso, K. y Mendiguren, T. (2020). Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter. El Profesional de la Información, 29(3), 1-22. https://doi.org/10.3145/epi.2020.may.08
Peñasco, R. (2020). Covid19: ¿un antes y un después en la Historia de la Humanidad? Análisis sociojurídico de un cambio de paradigma y de los nuevos parámetros y grandes retos del siglo XXI. Madrid, España: Dykinson. https://doi.org/10.2307/j.ctv1503k85
Ebola, Twitter, and misinformation: A dangerous combination? BMJ, 349, 14-15.
Oh, S.H., Lee, S.Y. and Han, C. (2020). The effects of social media use on preventive behaviors during infectious disease outbreaks: The mediating role of self-relevant emotions and public risk perception. Health Communication, 36(8), 972-981. Oyeyemi, S.O., Gabarron, E. and Wynn, R. (2014). https://doi.org/10.1080/10410236.2020.1724639
Odriozola, I., Berbegal, J. and Merigó, J. (2019). Open innovation in small and medium enterprises: a bibliometric analysis. Journal of Organizational Change Management, 32(5), 533-557. https://doi.org/10.1108/JOCM-12-2017-0491
Odlum, M. and Yoon, S. (2015). What can we learn about the Ebola outbreak from tweets? American Journal of Infection Control, 43(6), 563-571. https://doi.org/10.1016/j.ajic.2015.02.023
Novelli, M. et al. (2018). 'No Ebola…still doomed' - The Ebola-induced tourism crisis. Annals ofTourism Research, 70, 76-87. https://doi.org/10.1016/j.annals.2018.03.006
Moorhead, S.A. et al. (2013). A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. Journal of MedicalInternet Research, 15(4), e85. https://doi.org/10.2196/jmir.1933
Liu, K. et al. (2016). Chinese public attention to the outbreak of ebola in west africa: Evidence from the online big data platform. International Journal of Environmental Research and Public Health, 13(8), 1-15. https://doi.org/10.3390/ijerph13080780
Li, J., Lei, L. and Cheng, L. (2020). Mapping Evaluation, Appraisal and Stance in Discourse (2000-2015): A Bibliometric Analysis. Glottotheory, 10(1-2), 31-55. https://doi.org/10.1515/glot-2019-0002
Lancho, B. and Cantú, F. (2019). Science in Mexico: a bibliometric analysis. Scientometrics, 118(2), 499-517. https://doi.org/10.1007/s11192-018-2985-2
Rodríguez-Soler, R., Uribe-Toril, J. and Valenciano, J.D.P. (2020). Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool. Land Use Policy, 97, 104787. https://doi.org/10.1016/j.landusepol.2020.104787
La, V.P. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The vietnam lessons. Sustainability, 12(7), 2931. https://doi.org/10.3390/su12072931
Kullar, R. et al. (2020). To Tweet or Not to Tweet-a Review of the Viral Power of Twitter for Infectious Diseases. Current Infectious Disease Reports, 22(14), 1-6. https://doi.org/10.1007/s11908-020-00723-0
Kostkova, P., de Quincey, E. and Jawaheer, G. (2010). The potential of social networks for early warning and outbreak detection systems: the swine flu Twitter study. International Journal of Infectious Diseases, 14(1), e384-e385. https://doi.org/10.1016/j.ijid.2010.02.475
Kass, T. and Alhinnawi, H. (2013). Social media in public health. British Medical Bulletin, 108(1), 5-24. https://doi.org/10.1093/bmb/ldt028
Karafillakis, E. and Larson, H.J. (2017). The benefit of the doubt or doubts over benefits? A systematic literature review of perceived risks of vaccines in European populations. Vaccine, 35(37), 4840-4850. https://doi.org/10.1016/j.vaccine.2017.07.061
Jit, M. et al. (2015). Building a new communication paradigm: Can we influence influenza perception? Vaccine, 33(49), 7044-7046. https://doi.org/10.1016/j.vaccine.2015.08.051
Jacobsen, K.H. et al. (2016). Lessons from the ebola outbreak: Action items for emerging infectious disease preparedness and response. EcoHealth, 13(1), 200-212. https://doi.org/10.1007/s10393-016-1100-5
Gupta, L. et al. (2020). Information and misinformation on COVID-19: A cross-sectional survey study. Journal of Korean Medical Science, 35(27), 1-11. https://doi.org/10.3346/jkms.2020.35.e256
Fung, I. et al. (2017). Twitter and Middle East respiratory syndrome, South Korea, 2015: A multi-lingual study. Infection, Disease and Health, 23(1), 10-16. https://doi.org/10.1016/j.idh.2017.08.005
Fung, I. et al. (2016). Social Media's initial reaction to information and misinformation on Ebola, august 2014: facts and rumors. Public Health Reports, 131(3), 461-473. https://doi.org/10.1177/003335491613100312
Fu, K. et al. (2016). How people react to Zika virus outbreaks on Twitter? A computational content analysis. American Journal of Infection Control, 44(12), 1700-1702. https://doi.org/10.1016/j.ajic.2016.04.253
Rodríguez, A., Osorio, C. y Peláez, J. (2019). Dos décadas de investigación en Electronic Word of Mouth: un análisis bibliométrico. Pensamiento y Gestión, 48, 251-275.
Rosenberg, H., Syed, S. and Rezaie, S. (2020). The Twitter pandemic: The critical role of Twitter in the dissemination of medical information and misinformation during the COVID-19 pandemic. Canadian Journal of Emergency Medicine, 22(4), 418-421. https://doi.org/10.1017/cem.2020.361
Daim, T. et al. (2006). Forecasting emerging technologies: Use of bibliometrics and patent analysis. Technological Forecasting and Social Change, 73(8), 981-1012. https://doi.org/10.1016/j.techfore.2006.04.004
Vijaykumar, S. et al. (2018). Virtual Zika transmission after the first U.S. case: who said what and how it spread on Twitter. American Journal of Infection Control, 46(5), 549-557. https://doi.org/10.1016/j.ajic.2017.10.015
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Zhu, B. et al. (2020). Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics. Chaos, Solitons and Fractals, 140, 110123. https://doi.org/10.1016/j.chaos.2020.110123
Yu, M. et al. (2020). Communication related health crisis on social media: a case of COVID-19 outbreak. Current Issues in Tourism, 24(19), 2699-2705. https://doi.org/10.1080/13683500.2020.1752632
Wong, M. and Jensen, O. (2020). The paradox of trust: perceived risk and public compliance during the COVID-19 pandemic in Singapore. Journal of Risk Research, 23(7-8), 1021-1030. https://doi.org/10.1080/13669877.2020.1756386
Wong, R. et al. (2017). Local Health Departments Tweeting about Ebola: Characteristics and Messaging. Journal of Public Health Management and Practice, 23(2), e16-e24. https://doi.org/10.1097/PHH.0000000000000342
van Eck, N. and Waltman, L. (2019). Manual for VOSviwer version 1.6.10. Recuperado de https://www.vosviewer.com/documentation/ Manual_VOSviewer_1.6.10.pdf.
Salathé, M. et al. (2013). Influenza A(H7N9) and the Importance of Digital Epidemiology. New England Journal of Medicine, 369(5), 401-404. https://doi.org/10.1056/NEJMp1307752
van Eck, N. and Waltman, L. (2014). Visualizing Bibliometric Networks. En Ding, Y., Rousseau, R. and Wolfram, D. (Ed.), Measuring Scholarly Impact. New York, USA: Springer. https://doi.org/10.1007/978-3-319-10377-8_13
Uribe, J. et al. (2019). Corruption and entrepreneurship: A bibliometric analysis. Journal of Legal, Ethical and Regulatory Issues, 22(4), 1-11.
Tang, L. et al. (2018). Social media and outbreaks of emerging infectious diseases: A systematic review of literature. American Journal of Infection Control, 46(9), 962-972. https://doi.org/10.1016/j.ajic.2018.02.010
Strekalova, Y.A. (2016). Health Risk Information Engagement and Amplification on Social Media: News About an Emerging Pandemic on Facebook. Health Education and Behavior, 44(2), 332-339. https://doi.org/10.1177/1090198116660310
Aproximación periodística y educomunicativa al fenómeno de las redes sociales (pp. 985-1002). Madrid, España: McGraw-Hill.
Siso, R.L.V. et al. (2020). La Unión Europea ante la desinformación y las fake news. El fact checking como un recurso de detección, prevención y análisis. En Vicente, A. y Sierra, J. (Ed.),
Shimizu, K. (2020). 2019-nCoV, fake news, and racism. The Lancet, 395, 685-686. https://doi.org/10.1016/S0140-6736(20)30357-3
Seltzer, E.K. et al. (2017). Public sentiment and discourse about Zika virus on Instagram. Public Health, 150(215), 170-175. https://doi.org/10.1016/j.puhe.2017.07.015
Schimmenti, A., Billieux, J. and Starcevic, V. (2020). The four horsemen of fear during the COVID pandemic. Clinical Neuropsychiatry, 17(2), 41-45.
Sastry, S. and Lovari, A. (2017). Communicating the Ontological Narrative of Ebola: An Emerging Disease in the Time of "Epidemic 2.0." Health Communication, 32(3), 329-338. https://doi.org/10.1080/10410236.2016.1138380
Salathé, M. and Khandelwal, S. (2011). Assessing vaccination sentiments with online social media: Implications for infectious disease dynamics and control. PLOS Computational Biology, 7(10), 1-8. https://doi.org/10.1371/journal.pcbi.1002199
Fong, S., Dey, N. and Chaki, J. (2020). An Introduction to COVID-19. En Fong, S., Dey, N. and Chaki, J. (Ed.), Artificial Intelligence for Coronavirus Outbreak (pp. 1-22). Warszawa, Poland: Springer. https://doi.org/10.1007/978-981-15-5936-5_1
Dickmann, P. et al. (2015). Making sense of communication interventions in public health emergencies - an evaluation framework for risk communication. Journal of Communication in Healthcare, 8(3), 233-240. https://doi.org/10.1080/17538068.2015.1101962
Chew, C. and Eysenbach, G. (2010). Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak. PLOS ONE, 5(11), 1-13. https://doi.org/10.1371/journal.pone.0014118
comunicação
Chapman, H.J. et al. (2016). Addressing the role of medical students using community mobilization and social media in the Ebola response. Perspectives on Medical Education, 5(3), 186-190. https://doi.org/10.1007/s40037-016-0271-7
2-2
8
pandemia
epidemia
doença transmissíve
desinformação
meios sociais
pandemia
application/pdf
epidemia
enfermedad transmisible
desinformación
medios sociales
comunicación
Jiménez Zarco , Ana
Arango Pastrana, Carlos Alberto
Osorio Andrade, Carlos
Objetivo. Realizar una revisión de literatura de 165 artículos científicos publicados en Scopus que abordan el papel de las redes sociales en escenarios de pandemia o epidemia. Metodología. Se utilizó la bibliometría para extraer indicadores de literatura y mapas que evidencian corrientes de investigación y palabras más frecuentes. Resultados. El análisis bibliométrico permitió identificar un crecimiento significativo del tema, el cual coincide conla primera ola del coronavirus en Europa y América. De igual manera se identifica que gran parte de los estudios se enfocan en analizar el tipo de información que se divulga sobre la COVID-19 en redes sociales. Conclusiones. Esta investigación señala la importancia de adelantar futuros estudios en contextos latinoamericanos; asimismo, plantea la necesidad de examinar el impacto psicológico del uso de medios de comunicación en escenariospandémicos; por último, es importante ahondar en estrategias que permitan mejorar la comunicación pública en situaciones de emergencia sanitaria.
Artículo de revista
Núm. 2-2 , Año 2021 : julio - diciembre
text/html
Español
Chao, M. et al. (2020). Media use and acute psychological outcomes during COVID-19 outbreak in China. Journal of Anxiety Disorders, 74, 1-8. https://doi.org/10.1016/j.janxdis.2020.102248
Boeris, C. (2010). Aplicación de métodos bibliométricos a la evaluación de colecciones: el caso de la Biblioteca del Instituto Argentino de Radioastronomía. Recuperado de http://sedici. unlp.edu.ar/handle/10915/17179.
Bavel, J.J.V. et al. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour, 4(5), 460-471. https://doi.org/10.1038/s41562-020-0884-z
Basch, C.H. et al. (2015). Coverage of the Ebola Virus Disease Epidemic on YouTube. Disaster Medicine and Public Health Preparedness, 9(5), 531-535. https://doi.org/10.1017/dmp.2015.77
Azim, D. et al. (2020). Media on the frontline against mental health implications of COVID-19 in Pakistan. Asian Journal of Psychiatry, 54, 102342. https://doi.org/10.1016/j.ajp.2020.102342
Abd-Alrazaq, A. et al. (2020). Top concerns of tweeters during the COVID-19 pandemic: A surveillance study. Journal of Medical Internet Research, 22(4), 1-9. https://doi.org/10.2196/19016
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
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https://creativecommons.org/licenses/by-nc-sa/4.0
Publication
Revista Perspectiva Empresarial
https://revistas.ceipa.edu.co/index.php/perspectiva-empresarial/article/view/742
Sabaneta: Fundación Universitaria Ceipa, 2014-
misinformation
social media
Social media communication in pandemic or epidemic scenarios: a bibliometric analysis
Objective. To conduct a literature review of 165 scientific articles published in Scopus that address the role of social media in pandemic or epidemic scenarios.Methodology. Bibliometrics was used to extract literature indicators and maps evidencing research streams and most frequent words. Results. The bibliometric analysis revealed a significant growth of research on the topic, which corresponds to the first wave of the coronavirus in Europe and America. It was also identified that most of the studies focus on analyzing the type of information disseminated on COVID-19 in social networks. Conclusions.This research emphasizes the importance of future studies on Latin American contexts, as well as the need to examine the psychological impact of media use in pandemic scenarios; finally, it is important to delve into strategies for improving public communication in health emergency situations.emergency situations.
Journal article
pandemic
epidemic
communicable disease
Communication
2021-12-06
2021-12-06T00:00:00Z
2021-12-06T00:00:00Z
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institution CEIPA BUSINESS SCHOOL
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country_str Colombia
collection Revista Perspectiva Empresarial
title Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
spellingShingle Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
Jiménez Zarco , Ana
Arango Pastrana, Carlos Alberto
Osorio Andrade, Carlos
comunicação
pandemia
epidemia
doença transmissíve
desinformação
meios sociais
pandemia
epidemia
enfermedad transmisible
desinformación
medios sociales
comunicación
misinformation
social media
pandemic
epidemic
communicable disease
Communication
title_short Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
title_full Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
title_fullStr Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
title_full_unstemmed Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
title_sort comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
title_eng Social media communication in pandemic or epidemic scenarios: a bibliometric analysis
description Objetivo. Realizar una revisión de literatura de 165 artículos científicos publicados en Scopus que abordan el papel de las redes sociales en escenarios de pandemia o epidemia. Metodología. Se utilizó la bibliometría para extraer indicadores de literatura y mapas que evidencian corrientes de investigación y palabras más frecuentes. Resultados. El análisis bibliométrico permitió identificar un crecimiento significativo del tema, el cual coincide conla primera ola del coronavirus en Europa y América. De igual manera se identifica que gran parte de los estudios se enfocan en analizar el tipo de información que se divulga sobre la COVID-19 en redes sociales. Conclusiones. Esta investigación señala la importancia de adelantar futuros estudios en contextos latinoamericanos; asimismo, plantea la necesidad de examinar el impacto psicológico del uso de medios de comunicación en escenariospandémicos; por último, es importante ahondar en estrategias que permitan mejorar la comunicación pública en situaciones de emergencia sanitaria.
description_eng Objective. To conduct a literature review of 165 scientific articles published in Scopus that address the role of social media in pandemic or epidemic scenarios.Methodology. Bibliometrics was used to extract literature indicators and maps evidencing research streams and most frequent words. Results. The bibliometric analysis revealed a significant growth of research on the topic, which corresponds to the first wave of the coronavirus in Europe and America. It was also identified that most of the studies focus on analyzing the type of information disseminated on COVID-19 in social networks. Conclusions.This research emphasizes the importance of future studies on Latin American contexts, as well as the need to examine the psychological impact of media use in pandemic scenarios; finally, it is important to delve into strategies for improving public communication in health emergency situations.emergency situations.
author Jiménez Zarco , Ana
Arango Pastrana, Carlos Alberto
Osorio Andrade, Carlos
author_facet Jiménez Zarco , Ana
Arango Pastrana, Carlos Alberto
Osorio Andrade, Carlos
topicspa_str_mv comunicação
pandemia
epidemia
doença transmissíve
desinformação
meios sociais
pandemia
epidemia
enfermedad transmisible
desinformación
medios sociales
comunicación
topic comunicação
pandemia
epidemia
doença transmissíve
desinformação
meios sociais
pandemia
epidemia
enfermedad transmisible
desinformación
medios sociales
comunicación
misinformation
social media
pandemic
epidemic
communicable disease
Communication
topic_facet comunicação
pandemia
epidemia
doença transmissíve
desinformação
meios sociais
pandemia
epidemia
enfermedad transmisible
desinformación
medios sociales
comunicación
misinformation
social media
pandemic
epidemic
communicable disease
Communication
citationvolume 8
citationissue 2-2
citationedition Núm. 2-2 , Año 2021 : julio - diciembre
publisher Sabaneta: Fundación Universitaria Ceipa, 2014-
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language Español
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Revista Perspectiva Empresarial - 2022
https://creativecommons.org/licenses/by-nc-sa/4.0
references Li, C. et al. (2020). Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020. Eurosurveillance, 25(10), 2000199. https://doi.org/10.2807/1560-7917.ES.2020.25.10.2000199
Raven, J., Wurie, H. and Witter, S. (2018). Health workers' experiences of coping with the Ebola epidemic in Sierra Leone's health system: a qualitative study. BMC Health Services Research, 18(251). https://doi.org/10.1186/s12913-018-3072-3
Pérez, J.-A., Meso, K. y Mendiguren, T. (2020). Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter. El Profesional de la Información, 29(3), 1-22. https://doi.org/10.3145/epi.2020.may.08
Peñasco, R. (2020). Covid19: ¿un antes y un después en la Historia de la Humanidad? Análisis sociojurídico de un cambio de paradigma y de los nuevos parámetros y grandes retos del siglo XXI. Madrid, España: Dykinson. https://doi.org/10.2307/j.ctv1503k85
Ebola, Twitter, and misinformation: A dangerous combination? BMJ, 349, 14-15.
Oh, S.H., Lee, S.Y. and Han, C. (2020). The effects of social media use on preventive behaviors during infectious disease outbreaks: The mediating role of self-relevant emotions and public risk perception. Health Communication, 36(8), 972-981. Oyeyemi, S.O., Gabarron, E. and Wynn, R. (2014). https://doi.org/10.1080/10410236.2020.1724639
Odriozola, I., Berbegal, J. and Merigó, J. (2019). Open innovation in small and medium enterprises: a bibliometric analysis. Journal of Organizational Change Management, 32(5), 533-557. https://doi.org/10.1108/JOCM-12-2017-0491
Odlum, M. and Yoon, S. (2015). What can we learn about the Ebola outbreak from tweets? American Journal of Infection Control, 43(6), 563-571. https://doi.org/10.1016/j.ajic.2015.02.023
Novelli, M. et al. (2018). 'No Ebola…still doomed' - The Ebola-induced tourism crisis. Annals ofTourism Research, 70, 76-87. https://doi.org/10.1016/j.annals.2018.03.006
Moorhead, S.A. et al. (2013). A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. Journal of MedicalInternet Research, 15(4), e85. https://doi.org/10.2196/jmir.1933
Liu, K. et al. (2016). Chinese public attention to the outbreak of ebola in west africa: Evidence from the online big data platform. International Journal of Environmental Research and Public Health, 13(8), 1-15. https://doi.org/10.3390/ijerph13080780
Li, J., Lei, L. and Cheng, L. (2020). Mapping Evaluation, Appraisal and Stance in Discourse (2000-2015): A Bibliometric Analysis. Glottotheory, 10(1-2), 31-55. https://doi.org/10.1515/glot-2019-0002
Lancho, B. and Cantú, F. (2019). Science in Mexico: a bibliometric analysis. Scientometrics, 118(2), 499-517. https://doi.org/10.1007/s11192-018-2985-2
Rodríguez-Soler, R., Uribe-Toril, J. and Valenciano, J.D.P. (2020). Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool. Land Use Policy, 97, 104787. https://doi.org/10.1016/j.landusepol.2020.104787
La, V.P. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The vietnam lessons. Sustainability, 12(7), 2931. https://doi.org/10.3390/su12072931
Kullar, R. et al. (2020). To Tweet or Not to Tweet-a Review of the Viral Power of Twitter for Infectious Diseases. Current Infectious Disease Reports, 22(14), 1-6. https://doi.org/10.1007/s11908-020-00723-0
Kostkova, P., de Quincey, E. and Jawaheer, G. (2010). The potential of social networks for early warning and outbreak detection systems: the swine flu Twitter study. International Journal of Infectious Diseases, 14(1), e384-e385. https://doi.org/10.1016/j.ijid.2010.02.475
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