What can we learn about the Ebola outbreak from tweets?

Odlum, Michelle; Yoon, Sunmoo

doi:10.1016/j.ajic.2015.02.023

Cited by 215 publications

(206 citation statements)

References 24 publications

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“…Research [37] used official data from the Chinese Center for Disease Control and Prevention (China CDC). Study [38] used CDC official Nigeria case report. Research [41] used official data from the French General Practitioners (GPs) Sentinelles network.…”

Section: Description Of Included Studiesmentioning

confidence: 99%

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Using online social networks to track a pandemic: A systematic review

Al-Garadi

Khan

Varathan

et al. 2016

Journal of Biomedical Informatics

151

105

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OSN data contain significant information that can be used to track a pandemic. Different from traditional surveys and clinical reports, in which the data collection process is time consuming at costly rates, OSN data can be collected almost in real time at a cheaper cost. Additionally, the geographical and temporal information can provide exploratory analysis of spatiotemporal dynamics of infectious disease spread. However, on one hand, an OSN-based surveillance system requires comprehensive adoption, enhanced geographical identification system, and advanced algorithms and computational linguistics to eliminate its limitations and challenges. On the other hand, OSN is probably to never replace traditional surveillance, but it can offer complementary data that can work best when integrated with traditional data.

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Section: Description Of Included Studiesmentioning

confidence: 99%

“…Research [38] aimed detect the outbreak of Ebola virus in the early stage by tracking tweets related to Ebola. Analysis of the tweets captured the early stage of Ebola outbreak.…”

Section: Description Of Included Studiesmentioning

confidence: 99%

Using online social networks to track a pandemic: A systematic review

Al-Garadi

Khan

Varathan

et al. 2016

Journal of Biomedical Informatics

151

105

View full text Add to dashboard Cite

show abstract

“…[28][29][30][31] Others have used Twitter to monitor cholera, 7 E. coli, 32 and ebola. 33,34 Forecasting While most early work on web-based disease surveillance focused on estimating the current week disease prevalence (referred to as "nowcasting"), more recent work has attempted to forecast disease prevalence, using web data to predict prevalence weeks into the future. [35][36][37][38] The ability to accurately predict future levels of disease prevalence will greatly help with planning and preparedness.…”

Section: Disease Surveillance: Beyond Influenzamentioning

confidence: 99%

Social Media Mining for Public Health Monitoring and Surveillance

et al. 2015

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This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.

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“…2015 (43) Twitter was used as a means of real-time surveillance of outbreaks of Ebola and to examine knowledge and public attitudes on the subject.…”

Section: The Researchers Suggest Thatmentioning

confidence: 99%

Social networks in nursing work processes: an integrative literature review

Mesquita

Zamarioli

Fulquini

et al. 2017

Rev. esc. enferm. USP

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Objective: To identify and analyze the available evidence in the literature on the use of social networks in nursing work processes. Method: An integrative review of the literature conducted in PubMed, CINAHL, EMBASE and LILACS databases in January 2016, using the descriptors social media, social networking, nursing, enfermagem, redes sociais, mídias sociais, and the keyword nursing practice, without year restriction. Results: The sample consisted of 27 international articles which were published between 2011 and 2016. The social networks used were Facebook (66.5%), Twitter (30%) and WhatsApp (3.5%). In 70.5% of the studies, social networks were used for research purposes, in 18.5% they were used as a tool aimed to assist students in academic activities, and in 11% for executing interventions via the internet. Conclusion: Nurses have used social networks in their work processes such as Facebook, Twitter and WhatsApp to research, teach and watch. The articles show several benefits in using such tools in the nursing profession; however, ethical considerations regarding the use of social networks deserve further discussion. descriPtors Nursing; Social Networking; Nursing Informatics; Review. Social networks in nursing work processes: an integrative literature reviewAs redes sociais nos processos de trabalho em enfermagem: revisão integrativa da literatura Las redes sociales en los procesos laborales de enfermería: revisión integrativa de la literatura

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What can we learn about the Ebola outbreak from tweets?

Cited by 215 publications

References 24 publications

Using online social networks to track a pandemic: A systematic review

Using online social networks to track a pandemic: A systematic review

Social Media Mining for Public Health Monitoring and Surveillance

Social networks in nursing work processes: an integrative literature review

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