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Genetic surveillance reveals low but sustained malaria transmission with clonal replacement in Sao Tome and Principe
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Genetic surveillance reveals low but sustained malaria transmission with clonal replacement in Sao Tome and Principe

Ying-An Chen, Peng-Yin Ng, Daniel Garcia-Ruiz, Aaron Elliot, Brian Palmer, Ronalg Mendes Costa d' Assunção Carvalho, Lien-Fen Tseng, Cheng-Sheng Lee, Kun-Hsien Tsai, Bryan Greenhouse, …
Communications medicine, 卷.5(1), 頁.199
27/05/2025
PMID: 40425726
Web of Science ID: WOS:001497342800004

摘要

BackgroundDespite efforts to eliminate malaria in Sao Tome and Principe (STP), cases have recently increased. Understanding residual transmission structure is crucial for developing effective elimination strategies.MethodsThis study collected surveillance data and generated amplicon sequencing data from 980 samples between 2010 and 2016 to examine the genetic structure of the parasite population.ResultsHere we show that the mean multiplicity of infection (MOI) is 1.3, with 11% polyclonal infections, indicating low transmission intensity. Temporal trends of these genetic metrics do not align with incidence rates, suggesting that changes in genetic metrics may not straightforwardly reflect changes in transmission intensity, particularly in low transmission settings where genetic drift and importation have a substantial impact. While 88% of samples are genetically linked, continuous turnover in genetic clusters and changes in drug-resistance haplotypes are observed. Principal component analysis reveals some STP samples are genetically similar to those from Central and West Africa, indicating possible importation.ConclusionsThese findings highlight the need to prioritize several interventions, such as targeted interventions against transmission hotspots, reactive case detection, and strategies to reduce the introduction of new parasites into this island nation as it approaches elimination. This study also serves as a case study for implementing genetic surveillance in a low transmission setting.

相關連結

聯合國永續發展目標(SDGs)

此研究成果有助於達成以下目標:

#3 Good Health and Well-Being

來源:SDGs的產出

詳細資料

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