COVID-19 Intervention Modelling for East Africa (CIMEA)
- Funded by Foreign, Commonwealth & Development Office (FCDO), Wellcome Trust
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Start & end year
20202022Known Financial Commitments (USD)
$1,699,974.39Funder
Foreign, Commonwealth & Development Office (FCDO), Wellcome TrustPrincipal Investigator
Prof. James NokesResearch Location
Uganda, KenyaLead Research Institution
University of WarwickResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
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
COVID-19 is a global threat to health, with many countries reporting extended outbreaks. To date 9 countries in Africa have recorded infection and it seems imminent that East Africa will have introductions and onward transmission. The SARS-CoV-2 virus (the aetiological agent of COVID-19) spreads rapidly (R0~2, serial interval about 1 week), and hence control will be difficult. National plans for dealing with this public health emergency will benefit from predictions of the expected rate, distribution and extent of spread in countries throughout the region, and on the likely impact and feasibility of isolation and contact tracing interventions. We will support the emergency preparations through bespoke modelling, incorporating known demographic population structure, age-related contact patterns and existing mobile phone population movement data. In Uganda and Kenya we will collect epidemiological, genomic and behavioural data through health facility surveillance, household follow-up and contact studies to quantify uncertainties of SARS-CoV-2 virus epidemiology and contact patterns in well and unwell individuals. Results from the study will be rapidly communicated to the relevant authorities, and modelling code and analysis, and data including sequences, placed in the public domain in near real-time. This project could have lasting impact on the role of research in policy decisions.