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Showing 1–11 of 11 results
Advanced filters: Author: Alison P. Galvani Clear advanced filters
  • An individual-based mathematical model evaluating the public health benefits of RSVpreF vaccination showed that vaccinating older adults and pregnant women can substantially reduce respiratory syncytial virus (RSV)-related hospitalizations and deaths, averting substantial inpatient costs, with the impact varying across countries and influenced by both uptake rates and the local epidemiological characteristics of RSV seasons.

    • Zhanwei Du
    • Abhishek Pandey
    • Alison P. Galvani
    ResearchOpen Access
    Nature Medicine
    Volume: 31, P: 647-652
  • Artificial intelligence has the potential to improve epidemiological models of infectious diseases by incorporating diverse data sources and complex interactions. Here, the authors conduct a scoping review of the use of artificial intelligence in mechanistic models to summarise methodological advancements and identify research gaps.

    • Yang Ye
    • Abhishek Pandey
    • Alison P. Galvani
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • Due to the difference between rodent, porcine and human nerve morphology, Gupta et al. propose an integrative approach of computational modelling and ex vivo electrophysiology studies to identify clinically relevant optimal parameters for human peripheral nerve stimulation as a therapeutic tool. The agreement between results validate the use of computer simulations as a first step toward determining stimulation parameters to provide input criteria for device design and dose selection prior to first-in-human trials.

    • Isha Gupta
    • Antonino M. CassarĂ¡
    • Daniel J. Chew
    ResearchOpen Access
    Communications Biology
    Volume: 3, P: 1-11
  • Analyses of contact-tracing data on the spread of infectious disease, combined with mathematical models, show that control measures require better knowledge of variability in individual infectiousness.

    • Alison P. Galvani
    • Robert M. May
    News & Views
    Nature
    Volume: 438, P: 293-295
  • Safely reducing the necessary duration of quarantine for COVID-19 could lessen the economic impacts of the pandemic. Here, the authors demonstrate that testing on exit from quarantine is more effective than testing on entry, and can enable quarantine to be reduced from fourteen to seven days.

    • Chad R. Wells
    • Jeffrey P. Townsend
    • Alison P. Galvani
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-9
  • Here, the authors implement a mathematical model that describes how Baloxavir antiviral-induced inhibition of influenza virus replication in infected individuals affects the spread of the virus during epidemics, suggesting that both the scaling up and acceleration of treatment would avert substantial influenza morbidity and mortality every year.

    • Zhanwei Du
    • Ciara Nugent
    • Lauren Ancel Meyers
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-6
  • Wells et al. use mathematical modeling to compare quarantine duration, testing frequency, and false-positive rate for 18 rapid antigen (RA) and RT-PCR tests. They show that the relative effectiveness of RA and RT-PCR tests in reducing post-quarantine transmission depends on the quarantine duration, the timing of their use in the infection time course, and the turnaround time of test results.

    • Chad R. Wells
    • Abhishek Pandey
    • Jeffrey P. Townsend
    ResearchOpen Access
    Communications Medicine
    Volume: 2, P: 1-12