[HTML][HTML] AI for science: predicting infectious diseases
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
[HTML][HTML] Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning
Y Zhao, M Hu, Y Jin, F Chen, X Wang, B Wang… - International Journal of …, 2023 - Elsevier
The outbreak and spread of COVID-19 remind us again of the devastating attack that human-
to-human transmitted respiratory infectious diseases (H-HRIDs) bring to global economics …
to-human transmitted respiratory infectious diseases (H-HRIDs) bring to global economics …
Human mobility and the infectious disease transmission: a systematic review
Recent decades have witnessed several infectious disease outbreaks, including the
coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies …
coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies …
Application of Big Data in Infectious Disease Surveillance: Contemporary Challenges and Solutions
The integration of big data into infectious disease surveillance signifies a radical shift in
public health, driven by technological advancements and expanded data-gathering …
public health, driven by technological advancements and expanded data-gathering …
From neighborhood contexts to human behaviors: Cellphone-based place visitation data contribute to estimating neighborhood-level depression prevalence in the …
The elucidation of neighborhood-level mental illness is pivotal to effective community need
assessment and public health interventions. However, aggregating individual behaviors …
assessment and public health interventions. However, aggregating individual behaviors …
Sentiment classification of diabetes-related tweets using transformer-based deep learning approach
VS Anoop - International Conference on Advances in Computing …, 2023 - Springer
It is estimated that 1 out of 77 people in India are formally diagnosed with diabetes, which is
alarming. Nowadays, people use social media platforms such as Facebook and Twitter to …
alarming. Nowadays, people use social media platforms such as Facebook and Twitter to …
Students' awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables
Previous research has extensively analysed teachers' and students' Facebook use for
instructional engagement, writing, research dissemination and e-learning. However …
instructional engagement, writing, research dissemination and e-learning. However …
[HTML][HTML] Parental Hesitancy toward Seasonal Influenza Vaccination for Children under the Age of 18 Years and Its Determinants in the Post-Pandemic Era: A Cross …
Children's susceptibility to influenza increased after COVID-19 control measures were lifted.
This study investigated parental hesitancy toward seasonal influenza vaccination (SIV) for …
This study investigated parental hesitancy toward seasonal influenza vaccination (SIV) for …
Risk identification of public opinion on social media: a new approach based on cross-spatial network analysis
Y Li, X Xu, M Riaz, Y Su - The Electronic Library, 2024 - emerald.com
Purpose This study aims to use geographical information on social media for public opinion
risk identification during a crisis. Design/methodology/approach This study constructs a …
risk identification during a crisis. Design/methodology/approach This study constructs a …
Floating in the air: forecasting allergenic pollen concentration for managing urban public health
The presence of airborne allergenic pollen causes a variety of immune reactions and
respiratory diseases, threatening human life in severe cases. Climate change is …
respiratory diseases, threatening human life in severe cases. Climate change is …