Last Updated: 19/12/2024
Applying molecular epidemiology to accelerate to zero
Objectives
By using genetic fingerprints of parasites, to create networks of biological transmission links between infected individuals in order to estimate:
- Classification of malaria cases as imported or local
- Measurement of local transmission (Rc)
- Measurement of parasite flow between one geographic region and another
- Identification of putative risk groups responsible for sustaining transmission (hotpops)
- Evidence of cross-border connectivity of parasite populations using genetic data and travel history
University of California San Francisco (UCSF), United States
Genotyping: 26 microsatellites (all) + whole genome sequencing and targeted next-generation sequencing on a subset
CDR Data: the nightly location for all subscribers was estimated based on their most used tower. Health facility catchments were assigned the nearest mobile phone tower.
Travel survey data: Individuals reported the number of nights spent at other local and international locations. 92% did not report travel.
eLife. 2019; Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern AfricabioRxiv 2019; High genetic diversity of Plasmodium falciparum in the low transmission setting of the Kingdom of Eswatini
UCSF - Global Research ProjectsGates Foundation project details
Sep 2015 — Jul 2018
$824,999
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