Data science approaches to infectious disease surveillance
Q Zhang - … Transactions of the Royal Society A, 2022 - royalsocietypublishing.org
Novel data science approaches are needed to confront large-scale infectious disease
epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and …
epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and …
Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm
Emotion assessment is a challenging task in the human–computer interaction interface.
Previous studies have examined the relationship between emotion and color, but they fail to …
Previous studies have examined the relationship between emotion and color, but they fail to …
[HTML][HTML] Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Sco** Review
EC Clark, S Neumann, S Hopkins… - JMIR Public Health …, 2024 - publichealth.jmir.org
Background: Public health surveillance plays a vital role in informing public health decision-
making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in …
making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in …
MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Accurate forecasting and analysis of emerging pandemics play a crucial role in effective
public health management and decision-making. Traditional approaches primarily rely on …
public health management and decision-making. Traditional approaches primarily rely on …
Leveraging social media data for pandemic detection and prediction
Governments and healthcare institutions are increasingly recognizing the value of
leveraging social media data to address disease outbreaks. This is due to the rapid …
leveraging social media data to address disease outbreaks. This is due to the rapid …
A chronological and geographical analysis of personal reports of COVID-19 on Twitter from the UK
Objective Given the uncertainty about the trends and extent of the rapidly evolving COVID-
19 outbreak, and the lack of extensive testing in the United Kingdom, our understanding of …
19 outbreak, and the lack of extensive testing in the United Kingdom, our understanding of …
SIR-solution for slowly time-dependent ratio between recovery and infection rates
The temporal evolution of pandemics described by the susceptible-infectious-recovered
(SIR)-compartment model is sensitively determined by the time dependence of the infection …
(SIR)-compartment model is sensitively determined by the time dependence of the infection …
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Accurate forecasting and analysis of emerging pandemics play a crucial role in effective
public health management and decision-making. Traditional approaches primarily rely on …
public health management and decision-making. Traditional approaches primarily rely on …
Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs
Social media as a background information source has been utilized in many practical
computational tasks, such as stock price prediction, epidemic tracking, and product …
computational tasks, such as stock price prediction, epidemic tracking, and product …
Event Detection in Social Media Analysis: A Survey
G Akiladevi, M Arun, J Pradeepkandhasamy - International Conference on …, 2023 - Springer
An event is defined by the attributes who, what, where, when, and how, and an event tweet
usually contains these basic aspects. Real-time events are events happening presently or …
usually contains these basic aspects. Real-time events are events happening presently or …