Nehalennia: a new agent-based model for efficient and effective respiratory virus surveillance

  • Funded by Netherlands Organisation for Health Research and Development (ZonMW)
  • Total publications:0 publications

Grant number: 10710062310004

Grant search

Key facts

  • Disease

    Disease X
  • Start & end year

    2024
    2026
  • Known Financial Commitments (USD)

    $0
  • Funder

    Netherlands Organisation for Health Research and Development (ZonMW)
  • Principal Investigator

    Prof dr CA Russel
  • Research Location

    Netherlands
  • Lead Research Institution

    Amsterdam UMC Locatie AMC
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies
  • Research Subcategory

    Disease surveillance & mapping
  • Special Interest Tags

    N/A
  • Study Type

    Non-Clinical
  • Clinical Trial Details

    N/A
  • Broad Policy Alignment

    Pending
  • Age Group

    Not Applicable
  • Vulnerable Population

    Not applicable
  • Occupations of Interest

    Not applicable

Abstract

Diagnostic testing and genetic sequencing are essential for respiratory virus surveillance and pandemic preparedness. During the COVID-19 pandemic, surveillance capacity was expanded to tens of thousands of samples per day. As these surveillance efforts wane, it is important to determine what levels of testing and sequencing are needed to efficiently detect an incipient pandemic and track its spread. Determining these levels is crucial for policy development, efficient allocation of resources and effectiveness of the Dutch surveillance system.