Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
A survey on data-driven covid-19 and future pandemic management
The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally
and almost 6 million reported deaths as of March 2022. Consequently, the world …
and almost 6 million reported deaths as of March 2022. Consequently, the world …
Deep learning forecasting using time-varying parameters of the SIRD model for Covid-19
A Bousquet, WH Conrad, SO Sadat, N Vardanyan… - Scientific Reports, 2022 - nature.com
Accurate epidemiological models are necessary for governments, organizations, and
individuals to respond appropriately to the ongoing novel coronavirus pandemic. One …
individuals to respond appropriately to the ongoing novel coronavirus pandemic. One …
System dynamics analysis of COVID-19 prevention and control strategies
S Jia, Y Li, T Fang - Environmental Science and Pollution Research, 2022 - Springer
The COVID-19 pandemic now affects the entire world and has many major effects on the
global economy, environment, health, and society. Focusing on the harm COVID-19 poses …
global economy, environment, health, and society. Focusing on the harm COVID-19 poses …
Providing a personalized healthcare service to the patients using AIOPs monitoring
AR Yeruva - Eduvest-Journal of Universal Studies, 2023 - eduvest.greenvest.co.id
We see the critical role technology plays in healthcare in the midst of a continuous
worldwide health crisis. To combat the epidemic, South Korea, for example, used smart …
worldwide health crisis. To combat the epidemic, South Korea, for example, used smart …
Temporal cascade model for analyzing spread in evolving networks
Current approaches for modeling propagation in networks (eg, of diseases, computer
viruses, rumors) cannot adequately capture temporal properties such as order/duration of …
viruses, rumors) cannot adequately capture temporal properties such as order/duration of …
A literature review of social network analysis in epidemic prevention and control
X Wang, Q An, Z He, W Fang - Complexity, 2021 - Wiley Online Library
Studying the structure and evolution characteristics of social networks is of great significance
in assessing and controlling the outbreak of infectious diseases. Therefore, it is necessary to …
in assessing and controlling the outbreak of infectious diseases. Therefore, it is necessary to …
The impact of mobility and interventions on the spread of diseases
Human behavior plays a vital role in spreading contagious diseases, and understanding its
influence on the outbreak could be the key to devising better mitigatory strategies. The …
influence on the outbreak could be the key to devising better mitigatory strategies. The …
The use of anonymized and aggregated telecom mobility data by a public health agency during the COVID-19 pandemic: Learnings from both the operator and …
K Ågren, P Bjelkmar, E Allison - Data & Policy, 2021 - cambridge.org
The COVID-19 pandemic and associated measures implemented have rapidly changed
how people move about and behave in society. Utilizing data on people's mobility could …
how people move about and behave in society. Utilizing data on people's mobility could …
Recursive forecasting for vaccination demand with hybrid feature LSTM considering heterogeneous policies and risk perception
Q Luo, C Yang, J Yang - Expert Systems with Applications, 2023 - Elsevier
Vaccination demand changes rapidly during the pandemic, as the public health policy
evolves and the pandemic develops among different countries and regions. Preprocessing …
evolves and the pandemic develops among different countries and regions. Preprocessing …