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Showing 1–21 of 21 results
Advanced filters: Author: Samuel V. Scarpino Clear advanced filters

  • As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.

    • Alessandro Vespignani
    • Huaiyu Tian
    • Gabriel M. Leung
    Reviews
    Nature Reviews Physics
    Volume: 2, P: 279-281

  • It seems obvious that restricting travel should help prevent the surge of epidemics. But a new mathematical analysis now demonstrates that mobility often reduces the heterogeneity in population distributions, thereby lowering the epidemic risk.

    • Samuel V. Scarpino
    News & Views
    Nature Physics
    Volume: 14, P: 331-333

  • What does it mean for an individual to be ‘important’ or for a connection to be ‘outstanding’? The answer depends on context, as Sarah Shugars and Samuel V. Scarpino explain.

    • Sarah Shugars
    • Samuel V. Scarpino
    Comments & Opinion
    Nature Physics
    Volume: 17, P: 540

  • Forecasting of infectious disease outbreaks can inform appropriate intervention measures, but whether fundamental limits to accurate prediction exist is unclear. Here, the authors use permutation entropy as a model independent measure of predictability to study limitations across a broad set of infectious diseases.

    • Samuel V. Scarpino
    • Giovanni Petri
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-8

  • Analysis of spatial heterogeneity of crowding in China and Italy, together with COVID-19 case data, show that cities with higher crowding have longer epidemics and higher attack rates after the first epidemic wave.

    • Benjamin Rader
    • Samuel V. Scarpino
    • Moritz U. G. Kraemer
    Research
    Nature Medicine
    Volume: 26, P: 1829-1834

  • A study shows that, although the number of incarcerated people in the USA decreased during the first year of the COVID-19 pandemic, the fraction of incarcerated Black and Latino individuals increased.

    • Brennan Klein
    • C. Brandon Ogbunugafor
    • Elizabeth Hinton
    ResearchOpen Access
    Nature
    Volume: 617, P: 344-350

  • By simulating the implementation of airport-based wastewater surveillance sites at the global level, a modeling study shows how this early warning system would perform in identifying sources of pandemic outbreaks, in time and space, and what the optimal location of monitoring sites would be.

    • Guillaume St-Onge
    • Jessica T. Davis
    • Alessandro Vespignani
    ResearchOpen Access
    Nature Medicine
    Volume: 31, P: 788-796

  • The common policy of replacing infected individuals with healthy substitutes can have the effect of accelerating disease transmission. A dynamic network model suggests that standard modelling approaches underplay the effect of network structure.

    • Samuel V. Scarpino
    • Antoine Allard
    • Laurent Hébert-Dufresne
    Research
    Nature Physics
    Volume: 12, P: 1042-1046

  • Dengue virus causes a range of inflammatory pathology but understanding critical phases of the infection during human infection has been challenging. Here the author’s present immunotranscriptomic changes during the acute and clearance phases of a dengue virus serotype 2 human challenge model.

    • John P. Hanley
    • Huy A. Tu
    • Sean A. Diehl
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-14

  • Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here, the authors model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical and applied urban settings.

    • Anjalika Nande
    • Justin Sheen
    • Alison L. Hill
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • Detailed, accurate data related to a disease outbreak enable informed public health decision making. Given the variety of data types available across different regions, global data curation and standardization efforts are essential to guarantee rapid data integration and dissemination in times of a pandemic.

    • Moritz U. G. Kraemer
    • Samuel V. Scarpino
    • John S. Brownstein
    Comments & Opinion
    Nature Computational Science
    Volume: 1, P: 9-10

  • Wastewater monitoring has been used to identify SARS-CoV-2 outbreaks and track new variants. This sentinel system should be expanded to monitor other pathogens and boost public health preparedness.

    • Megan B. Diamond
    • Aparna Keshaviah
    • Samuel V. Scarpino
    Comments & Opinion
    Nature Medicine
    Volume: 28, P: 1992-1995

  • Klein et al. use mobility data to forecast COVID-19 admissions for five Massachusetts hospitals. Combining aggregated mobile device data about users’ contact patterns, commuting volume, and mobility range with COVID hospitalizations and test-positivity data increases the lead-time of accurate predictions for individual hospitals.

    • Brennan Klein
    • Ana C. Zenteno
    • Hojjat Salmasian
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-9

  • Knowledge of the spreading mechanisms of contagions is important for understanding a range of epidemiological and social problems. A study now shows that so-called simple and complex contagions cannot be told apart if there is more than one simple contagion traversing the population at the same time.

    • Laurent Hébert-Dufresne
    • Samuel V. Scarpino
    • Jean-Gabriel Young
    Research
    Nature Physics
    Volume: 16, P: 426-431

  • This Perspective considers the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.

    • Moritz U. G. Kraemer
    • Joseph L.-H. Tsui
    • Samir Bhatt
    Reviews
    Nature
    Volume: 638, P: 623-635

  • Social and behavioural factors impact the emergence, spread and control of human disease. This paper reviews current disease modelling methodologies and the challenges and opportunities for integration with data from social science research and risk communication and community engagement practice.

    • Jamie Bedson
    • Laura A. Skrip
    • Benjamin M. Althouse
    Reviews
    Nature Human Behaviour
    Volume: 5, P: 834-846