Co-evolution of epidemics, interventions, and behavior in network epidemiology

Grant number: 21H04595

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2025
  • Known Financial Commitments (USD)

    $377,910
  • Funder

    KAKENHI
  • Principal Investigator

    Holme Petter Unspecified
  • Research Location

    Japan
  • Lead Research Institution

    Tokyo Institute of Technology
  • Research Priority Alignment

    N/A
  • Research Category

    N/A

  • Research Subcategory

    N/A

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Publicationslinked via Europe PMC

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View all publications at Europe PMC

Static network structure cannot stabilize cooperation among large language model agents.

Postdoc publications and citations link to academic retention and faculty success.

Beyond a binary theorizing of prosociality.

Temporal scaling theory for bursty time series with clusters of arbitrarily many events.

State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis.

The effect of random virus failure following cell entry on infection outcome and the success of antiviral therapy.

Assessing the efficacy of health countermeasures on arrival time of infectious diseases.

Mixing age and risk groups for accessing COVID-19 vaccines: a modelling study.

Direct modelling from GPS data reveals daily-activity-dependency of effective reproduction number in COVID-19 pandemic.