Unknown

Dataset Information

Assessing the impact of temporal changes in transmission on Plasmodium falciparum strains in Asembo, western Kenya (1996-2017) using within-host metrics via 24-SNP barcodes.


ABSTRACT:

Background

Genomic surveillance of malaria parasites offers important insights into the impact of interventions on transmission reduction and changes in pathogen populations over time, especially in low-transmission areas. However, such surveillance faces challenges in high-transmission regions. Detecting temporal changes in transmission in high-transmission settings requires analytical methods tailored to high-diversity parasite populations that can differentiate between superinfection (infection through multiple mosquito bites, each bearing an unrelated strain) and co-transmission (infection through a single mosquito bite bearing more than one strain).

Methods

This study applied a previously developed novel Next Generation Sequencing (NGS) 24-SNP barcode assay for genotypi

SUBMITTER: Vestal G 

PROVIDER: S-EPMC12829202 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature