Using Twitter for public health surveillance from monitoring and prediction to public response
Twitter is a social media platform where over 500 million people worldwide publish their
ideas and discuss diverse topics, including their health conditions and public health events …
ideas and discuss diverse topics, including their health conditions and public health events …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts
C Han, M Yang, A Piterou - Technological Forecasting and Social Change, 2021 - Elsevier
This study analyses the agenda setting on social media in the COVID-19 pandemic by
exploiting one of the disruptive technologies, big data analytics. Our purpose is to examine …
exploiting one of the disruptive technologies, big data analytics. Our purpose is to examine …
An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US
Abstract The World Health Organization (WHO) declared on 11th March 2020 the spread of
the coronavirus disease 2019 (COVID-19) a pandemic. The traditional infectious disease …
the coronavirus disease 2019 (COVID-19) a pandemic. The traditional infectious disease …
Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
E Sylvestre, C Joachim, E Cecilia-Joseph… - PLoS neglected …, 2022 - journals.plos.org
Background Traditionally, dengue surveillance is based on case reporting to a central health
agency. However, the delay between a case and its notification can limit the system …
agency. However, the delay between a case and its notification can limit the system …
Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis
Social data has shown important role in tracking, monitoring and risk management of
disasters. Indeed, several works focused on the benefits of social data analysis for the …
disasters. Indeed, several works focused on the benefits of social data analysis for the …
Recurrent neural networks with TF-IDF embedding technique for detection and classification in tweets of dengue disease
With the increased usage of Web 2.0 and data-affluent tools such as social media platforms
and web blog services, the challenge of extracting public sentiment and disseminating …
and web blog services, the challenge of extracting public sentiment and disseminating …
[HTML][HTML] COVID-19 discourse on twitter in four asian countries: Case study of risk communication
Background COVID-19, caused by SARS-CoV-2, has led to a global pandemic. The World
Health Organization has also declared an infodemic (ie, a plethora of information regarding …
Health Organization has also declared an infodemic (ie, a plethora of information regarding …
An intelligent healthcare system for predicting and preventing dengue virus infection
Dengue is a mosquito-borne pandemic viral infection, which transmits to humans from
Female Aedes albopictis or Aedes agypti mosquitoes. It progressively deteriorates the …
Female Aedes albopictis or Aedes agypti mosquitoes. It progressively deteriorates the …
A clustering-based topic model using word networks and word embeddings
Online social networking services like Twitter are frequently used for discussions on
numerous topics of interest, which range from mainstream and popular topics (eg, music and …
numerous topics of interest, which range from mainstream and popular topics (eg, music and …