Mobility- and behavior-based early-warning system after the first wave of COVID-19

  • Funded by Netherlands Organisation for Health Research and Development (ZonMW)
  • Total publications:9 publications

Grant number: 10430032010011

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2022
  • Funder

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

    dr N. Prof Litvak
  • Research Location

    N/A
  • Lead Research Institution

    Technische Universiteit Eindhoven
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies
  • Research Subcategory

    Impact/ effectiveness of control measures
  • Special Interest Tags

    Data Management and Data Sharing
  • 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

Who: Consortium of experts in public health, eHealth, behavioral sciences, mathematical epidemic modeling, governance and data analytics. What: Interactive dashboards are being developed to support decision-making regarding local lockdowns. These dashboards are complementary to the dashboards being developed by the Dutch government, because they contain new types of information: regional, current trends in risky behavior, and mobility between regions. When: October 2020 - March 2022. The first prototype dashboards will be available in early 2021. How: Mathematical models are used to quantify risk predictions and develop an early warning system in the form of interactive dashboards. To achieve implementation, the response from policymakers is used as input to improve the dashboards. Why: This project helps make informed regional decisions in a timely manner to contain the spread of the virus.

9 Publications linked via Europe PMC

Value of risk-contact data from digital contact monitoring apps in infectious disease modeling.

Incidence, symptom clusters and determinants of post-acute COVID symptoms: a population-based surveillance in community-dwelling users of the COVID RADAR app.

Modelling the dynamic relationship between spread of infection and observed crowd movement patterns at large scale events.

[Indoor sporting during the COVID-19 pandemic: analysis with data from the COVID RADAR app].

The role of inter-regional mobility in forecasting SARS-CoV-2 transmission.

The role of inter-regional mobility in forecasting SARS-CoV-2 transmission

Overlapping timescales obscure early warning signals of the second COVID-19 wave.

COVID RADAR app: Description and validation of population surveillance of symptoms and behavior in relation to COVID-19.

Trade-offs between mobility restrictions and transmission of SARS-CoV-2.