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Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
The propagation of disturbances in ecological networks
Despite the development of network science, we lack clear heuristics for how far different
disturbance types propagate within and across species interaction networks. We discuss the …
disturbance types propagate within and across species interaction networks. We discuss the …
A primer on using mathematics to understand COVID-19 dynamics: Modeling, analysis and simulations
Abstract The novel coronavirus (COVID-19) pandemic that emerged from Wuhan city in
December 2019 overwhelmed health systems and paralyzed economies around the world. It …
December 2019 overwhelmed health systems and paralyzed economies around the world. It …
Network properties determine neural network performance
Abstract Machine learning influences numerous aspects of modern society, empowers new
technologies, from Alphago to ChatGPT, and increasingly materializes in consumer products …
technologies, from Alphago to ChatGPT, and increasingly materializes in consumer products …
Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic
In March 2020, the Austrian government introduced a widespread lock-down in response to
the COVID-19 pandemic. Based on subjective impressions and anecdotal evidence …
the COVID-19 pandemic. Based on subjective impressions and anecdotal evidence …
Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
[HTML][HTML] Socio-demographic and health factors drive the epidemic progression and should guide vaccination strategies for best COVID-19 containment
We propose and study an epidemiological model on a social network that takes into account
heterogeneity of the population and different vaccination strategies. In particular, we study …
heterogeneity of the population and different vaccination strategies. In particular, we study …
Different spreading dynamics throughout Germany during the second wave of the COVID-19 pandemic: a time series study based on national surveillance data
Background The second wave of the COVID-19 pandemic led to substantial differences in
incidence rates across Germany. Methods Assumption-free k-nearest neighbour clustering …
incidence rates across Germany. Methods Assumption-free k-nearest neighbour clustering …
Peering inside a cough or sneeze to explain enhanced airborne transmission under dry weather
High-fidelity simulations of coughs and sneezes that serve as virtual experiments are
presented, and they offer an unprecedented opportunity to peer into the chaotic evolution of …
presented, and they offer an unprecedented opportunity to peer into the chaotic evolution of …
[HTML][HTML] Predictive models for forecasting public health scenarios: practical experiences applied during the first wave of the COVID-19 pandemic
Background: Forecasting the behavior of epidemic outbreaks is vital in public health. This
makes it possible to anticipate the planning and organization of the health system, as well as …
makes it possible to anticipate the planning and organization of the health system, as well as …