Using artificial intelligence to improve public health: a narrative review
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of
healthcare. AI has been predominantly employed in medicine and healthcare …
healthcare. AI has been predominantly employed in medicine and healthcare …
Artificial intelligence empowering public health education: prospects and challenges
J Wang, J Li - Frontiers in public health, 2024 - frontiersin.org
Artificial Intelligence (AI) is revolutionizing public health education through its capacity for
intricate analysis of large-scale health datasets and the tailored dissemination of health …
intricate analysis of large-scale health datasets and the tailored dissemination of health …
Urban dynamics through the lens of human mobility
The urban spatial structure represents the distribution of public and private spaces in cities
and how people move within them. Although it usually evolves slowly, it can change quickly …
and how people move within them. Although it usually evolves slowly, it can change quickly …
Internet-based surveillance systems and infectious diseases prediction: An updated review of the last 10 Years and lessons from the COVID-19 pandemic
The last decade has seen major advances and growth in internet-based surveillance for
infectious diseases through advanced computational capacity, growing adoption of smart …
infectious diseases through advanced computational capacity, growing adoption of smart …
An epidemiological modeling framework to inform institutional-level response to infectious disease outbreaks: a Covid-19 case study
Institutions have an enhanced ability to implement tailored mitigation measures during
infectious disease outbreaks. However, macro-level predictive models are inefficient for …
infectious disease outbreaks. However, macro-level predictive models are inefficient for …
How mathematical modelling can inform outbreak response vaccination
Mathematical models are established tools to assist in outbreak response. They help
characterise complex patterns in disease spread, simulate control options to assist public …
characterise complex patterns in disease spread, simulate control options to assist public …
[HTML][HTML] Geosocial Media's Early Warning Capabilities Across US County-Level Political Clusters: Observational Study
Background: The novel coronavirus disease (COVID-19) sparked significant health
concerns worldwide, prompting policy makers and health care experts to implement …
concerns worldwide, prompting policy makers and health care experts to implement …
Multi-objective optimization and nonlinear dynamics for sub-healthy COVID-19 epidemic model subject to self-diffusion and cross-diffusion
The spread of infectious diseases in COVID-19 is influenced by many factors, such as the
physical condition of susceptible individuals, medical level, vaccination, individual diffusion …
physical condition of susceptible individuals, medical level, vaccination, individual diffusion …
Emergence of the reproduction matrix in epidemic forecasting
During the recent COVID-19 pandemic, the instantaneous reproduction number, R (t), has
surged as a widely used measure to target public health interventions aiming at curbing the …
surged as a widely used measure to target public health interventions aiming at curbing the …
Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach
With the vast amount of social media posts available online, topic modeling and sentiment
analysis have become central methods to better understand and analyze online behavior …
analysis have become central methods to better understand and analyze online behavior …