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1.
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Recognizing an urgent need to understand the dynamics of the pandemic's severity, this longitudinal study is conducted to explore the evolution of complex relationships b[...]
2022 | articles |
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2.
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There is a compelling and pressing need to better understand the temporal dynamics of public sentiment towards COVID-19 vaccines in the US on a national and state-wise le[...]
2021 | articles |
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3.
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The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of t[...]
2023 | articles |
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4.
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Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological pr[...]
2021 | articles |
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5.
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Recent years have seen exponential increase in memory capacity for computer data storage. Increased bit density has been produced by decreasing feature sizes in microelec[...]
1994 | doctoral dissertations |
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6.
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Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that w[...]
2021 | articles |
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7.
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This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, w[...]
2020 | articles |
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8.
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Healthcare workers’ (HCWs) safety and availability to care for patients are critical during a pandemic such as the one caused by severe acute respiratory syndrome coronav[...]
2023 | articles |
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9.
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The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pan[...]
2021 | articles |
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