Social Networks Applied to Zika and H1N1 Epidemics: A Systematic Review-Reference-Cited by-同舟云学术

Social Networks Applied to Zika and H1N1 Epidemics: A Systematic Review

Published:2018-08-05 Issue: Volume: Page:679-692
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

de Araujo Diná Herdi Medeiros,de Carvalho Elaine Alves,da Motta Claudia Lage Rebello,da Silva Borges Marcos Roberto,Gomes José Orlando,de Carvalho Paulo Victor Rodrigues

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-96089-0_74

Reference43 articles.

1. Abbdullah S, Wu X (2011) An epidemic model for news spreading on twitter. In: 2011 International conference on tools with artificial intelligence, Proceedings, Vermont. IEEE Xplore, pp 163–169

2. Achrekar H, Gandhe A, Lazarus R, Yu SH, Liu B (2011) Predicting flu trends using twitter data. In: IEEE conference on computer communications workshops, INFOCOM WKSHPS, pp 702–707

3. Al-garadi MA, Khan MS, Varathan KD, Mujtaba G, Al-Kabsi AM (2016) Using online social networks to track a pandemic: a systematic review. J Biomed Inf 62:1–11

4. Antunes MN, et al (2016) Visual archives concerning Zika virus: images on Instagram as part of the constitution of an epidemic memory. e-ISSN 1981-6278

5. Avery EJ (2017) Public information officers’ social media monitoring during the Zika virus crisis, a global health threat surrounded by public uncertainty. Public Relat Rev 43(3):468–476

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation the COVID-19 related posts of the Official Facebook Page of the World Health Organization;Medical Science and Discovery;2024-04-24

2. Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study;JMIR Infodemiology;2023-06-28

3. Epitweetr: Early warning of public health threats using Twitter data;Eurosurveillance;2022-09-29

4. Open-source intelligence for detection of radiological events and syndromes following the invasion of Ukraine in 2022 (Preprint);2022-05-27

5. Epitweetr: Early warning of public health threats using Twitter data;2021-03-26