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Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …
have applied mobility data to explore spatiotemporal trends over time, investigate …
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
A scenario-based approach for urban water management in the context of the COVID-19 pandemic and a case study for the Tabriz metropolitan area, Iran
The world's poorest countries were hit hardest by COVID-19 due to their limited capacities to
combat the pandemic. The urban water supply and water consumption are affected by the …
combat the pandemic. The urban water supply and water consumption are affected by the …
Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ
The purpose of this research work is to present a numerical study through artificial neural
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …
The impact of traffic control measures on the spread of COVID-19 within urban agglomerations based on a modified epidemic model
With the spatial structure of urban agglomerations, well-developed transportation networks
and close economic ties can increase the risk of intercity transmission of infectious diseases …
and close economic ties can increase the risk of intercity transmission of infectious diseases …
Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review
The COVID-19 epidemic has caused more than 6.4 million deaths to date and has become a
hot topic of interest in different disciplines. According to bibliometric analysis, more than …
hot topic of interest in different disciplines. According to bibliometric analysis, more than …
A numerical study of the fractional order dynamical nonlinear susceptible infected and quarantine differential model using the stochastic numerical approach
The theme of this study is to present the impacts and importance of the fractional order
derivatives of the susceptible, infected and quarantine (SIQ) model based on the …
derivatives of the susceptible, infected and quarantine (SIQ) model based on the …
The Mann-Kendall-Sneyers test to identify the change points of COVID-19 time series in the United States
Background One critical variable in the time series analysis is the change point, which is the
point where an abrupt change occurs in chronologically ordered observations. Existing …
point where an abrupt change occurs in chronologically ordered observations. Existing …
A novel spatio-temporal prediction model of epidemic spread integrating cellular automata with agent-based modeling
Since 2019, major infectious disease outbreaks have placed tremendous pressure on global
public health systems, triggering extensive research on the predictive modeling of infectious …
public health systems, triggering extensive research on the predictive modeling of infectious …
Simulation of fractional order mathematical model of robots for detection of coronavirus using Levenberg–Marquardt backpropagation neural network
This research motive is to present more realistic results through the fractional order
derivatives of the Robots mathematical system (FORMS), which is used to detect the …
derivatives of the Robots mathematical system (FORMS), which is used to detect the …