Exploratory Analysis of Twitter data: Understanding the health information connections during the Yellow Fever Outbreak in 2017

• Autor(a) principal: Araujo, Gabriela Denise de
• Data de Publicação: 2020
• Outros Autores: Moraes, Fabricio Landi de, Pisa, Ivan Torres
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Brazilian Journal of Information Science
• Texto Completo: https://revistas.marilia.unesp.br/index.php/bjis/article/view/10179
• topic: Redes Sociais; Mineração de Dados; Febre Amarela; Análise Exploratória de Grafos; Redes sociales; Procesamiento de datos; Fiebre amarilla; Análisis Exploratorio de Gráficos; Social Network; Data Mining; Yellow Fever; Exploratory Graph Analysis

This paper presents a detailed analysis of how health information was shared and discussed on Twitter in terms of awareness and opinions during the 2017 Yellow Fever outbreak in Brazil. For this, the data mining approach with exploratory graph analysis was performed. As main results, Twitter activity peaks were identified compared to peaks of cases reported in some regions of the country, an analysis of hashtags linked to the main subject and different topics from the exploratory analysis of graphs such as vaccination campaign, feelings, prevention, rumors, other diseases linked to the same transmitter, among others. This study illustrates that social networks, such as Twitter, offer unique opportunities for participatory surveillance, which can assist in monitoring some aspects of public health and offer additional data to health managers on how people interact during an outbreak.