[HTML][HTML] Innovative applications of artificial intelligence in zoonotic disease management
W Guo, C Lv, M Guo, Q Zhao, X Yin, L Zhang - Science in One Health, 2023 - Elsevier
Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to
global public health. In recent years, artificial intelligence (AI) has emerged as a …
global public health. In recent years, artificial intelligence (AI) has emerged as a …
Machine learning for data-centric epidemic forecasting
The COVID-19 pandemic emphasized the importance of epidemic forecasting for decision
makers in multiple domains, ranging from public health to the economy. Forecasting …
makers in multiple domains, ranging from public health to the economy. Forecasting …
[HTML][HTML] Analyzing patient trajectories with artificial intelligence
In digital medicine, patient data typically record health events over time (eg, through
electronic health records, wearables, or other sensing technologies) and thus form unique …
electronic health records, wearables, or other sensing technologies) and thus form unique …
The projections of global and regional rheumatic heart disease burden from 2020 to 2030
Background Rheumatic heart disease (RHD) remains the leading cause of preventable
death and disability in children and young adults, killing an estimated 320,000 individuals …
death and disability in children and young adults, killing an estimated 320,000 individuals …
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Background During the COVID-19 pandemic there has been a strong interest in forecasts of
the short-term development of epidemiological indicators to inform decision makers. In this …
the short-term development of epidemiological indicators to inform decision makers. In this …
Algorithmic fairness in pandemic forecasting: lessons from COVID-19
Racial and ethnic minorities have borne a particularly acute burden of the COVID-19
pandemic in the United States. There is a growing awareness from both researchers and …
pandemic in the United States. There is a growing awareness from both researchers and …
Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study
Abstract Background Coronavirus Disease 2019 (COVID-19) pandemic affects common
diseases, but its impact on hand, foot, and mouth disease (HFMD) is unclear. Google Trends …
diseases, but its impact on hand, foot, and mouth disease (HFMD) is unclear. Google Trends …
A fairness assessment of mobility-based COVID-19 case prediction models
A Erfani, V Frias-Martinez - Plos one, 2023 - journals.plos.org
In light of the outbreak of COVID-19, analyzing and measuring human mobility has become
increasingly important. A wide range of studies have explored spatiotemporal trends over …
increasingly important. A wide range of studies have explored spatiotemporal trends over …
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
A Novel Framework for Joint Learning of City Region Partition and Representation
The proliferation of multimodal big data in cities provides unprecedented opportunities for
modeling and forecasting urban problems, such as crime prediction and house price …
modeling and forecasting urban problems, such as crime prediction and house price …