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 XStart & end year
20202024Known Financial Commitments (USD)
$0Funder
UK Research and Innovation (UKRI)Principal Investigator
N/A
Research Location
N/ALead Research Institution
N/AResearch 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.