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  1. ; ; ; ; ; ; ; ( , Journal of Chemical Theory and Computation)
    Free, publicly-accessible full text available May 10, 2023
  2. ; ; ; ( , Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
    Percolation theory is essential for understanding disease transmission patterns on the temporal mobility networks. However, the traditional approach of the percolation process can be inefficient when analysing a large-scale, dynamic network for an extended period. Not only is it time-consuming but it is also hard to identify the connected components. Recent studies demonstrate that spatial containers restrict mobility behaviour, described by a hierarchical topology of mobility networks. Here, we leverage crowd-sourced, large-scale human mobility data to construct temporal hierarchical networks composed of over 175 000 block groups in the USA. Each daily network contains mobility between block groups within a Metropolitanmore »Statistical Area (MSA), and long-distance travels across the MSAs. We examine percolation on both levels and demonstrate the changes of network metrics and the connected components under the influence of COVID-19. The research reveals the presence of functional subunits even with high thresholds of mobility. Finally, we locate a set of recurrent critical links that divide components resulting in the separation of core MSAs. Our findings provide novel insights into understanding the dynamical community structure of mobility networks during disruptions and could contribute to more effective infectious disease control at multiple scales. This article is part of the theme issue ‘Data science approaches to infectious disease surveillance’.« less
    Free, publicly-accessible full text available January 10, 2023
  3. ; ; ; ; ; ; ( , NeuroImage)
    Free, publicly-accessible full text available February 1, 2023
  4. ; ; ; ; ; ; ; ( , The Journal of Physical Chemistry A)
    Free, publicly-accessible full text available January 13, 2023
  5. ; ; ; ( , Journal of Computational Physics)
    Free, publicly-accessible full text available November 1, 2022
  6. ; ; ; ; ; ; ( , Humanities and Social Sciences Communications)
    Abstract Major disasters such as extreme weather events can magnify and exacerbate pre-existing social disparities, with disadvantaged populations bearing disproportionate costs. Despite the implications for equity and emergency planning, we lack a quantitative understanding of how these social fault lines translate to different behaviours in large-scale emergency contexts. Here we investigate this problem in the context of Hurricane Harvey, using over 30 million anonymized GPS records from over 150,000 opted-in users in the Greater Houston Area to quantify patterns of disaster-inflicted relocation activities before, during, and after the shock. We show that evacuation distance is highly homogenous across individuals frommore »different types of neighbourhoods classified by race and wealth, obeying a truncated power-law distribution. Yet here the similarities end: we find that both race and wealth strongly impact evacuation patterns, with disadvantaged minority populations less likely to evacuate than wealthier white residents. Finally, there are considerable discrepancies in terms of departure and return times by race and wealth, with strong social cohesion among evacuees from advantaged neighbourhoods in their destination choices. These empirical findings bring new insights into mobility and evacuations, providing policy recommendations for residents, decision-makers, and disaster managers alike.« less
    Free, publicly-accessible full text available December 1, 2022
  7. ; ; ; ( , Limnology and Oceanography Letters)
    Free, publicly-accessible full text available October 1, 2022
  8. ; ; ; ; ; ; ; ; ; ; et al ( , Science)
    Hydrogen-doped perovskites can be reconfigured by electrical pulses to take on all essential functions necessary for artificial intelligence hardware.
    Free, publicly-accessible full text available February 4, 2023
  9. ; ( , Clinical and Translational Medicine)
    Full Text Available 
  10. ; ; ; ; ; ; ; ; ; ; et al ( , Scientific Reports)
    Abstract

    We combined survey, mobility, and infections data in greater Boston, MA to simulate the effects of racial disparities in the inclination to become vaccinated on continued infection rates and the attainment of herd immunity. The simulation projected marked inequities, with communities of color experiencing infection rates 3 times higher than predominantly White communities and reaching herd immunity 45 days later on average. Persuasion of individuals uncertain about vaccination was crucial to preventing the worst inequities but could only narrow them so far because 1/5th of Black and Latinx individuals said that they would never vaccinate. The results point to amore »need for well-crafted, compassionate messaging that reaches out to those most resistant to the vaccine.

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