Assessing and improving methods for real-time outbreak forecasting

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: 2474940

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Key facts

  • Disease

    Disease X
  • Start & end year

    2020
    2024
  • Known Financial Commitments (USD)

    $0
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    N/A

  • Research Location

    N/A
  • Lead Research Institution

    N/A
  • 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

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Within the last decade the World Health Organisation (WHO) have made five declarations of a public health emergency of international concern, following outbreaks of wild polio, Ebola, Zika virus disease and Covid-195. In a highly connected world with increasing urbanisation and land-use change, the likelihood of epidemics and pandemics is increasing. The ongoing Covid-19 pandemic has demonstrated the devastating impact of infectious disease outbreaks, both for health and the economy globally. Rapid and accurate forecasting implemented in real-time is key to facilitate a well-coordinated response and swift resource planning.