BibTex format
@article{Young:2026:10.1016/S1473-3099(26)00237-9,
author = {Young, NW and Meier-Scherling, CPG and Cuomo-Dannenburg, G and Tollefson, GA and Connelly, SV and Marglous, J and Gyuricza, IG and Carey-Ewend, K and Kyong-Shin, R and Popkin-Hall, ZR and Zeleke, AJ and Ishengoma, DS and Fola, AA and Simkin, A and Niaré, K and Parr, JB and Conrad, M and Okell, LC and Ruybal-Pesántez, S and Watson, OJ and Juliano, JJ and Bailey, JA and Verity, R},
doi = {10.1016/S1473-3099(26)00237-9},
journal = {Lancet Infect Dis},
title = {Mapping the prevalence of molecular markers of Plasmodium falciparum artemisinin partial resistance in Africa: a systematic review and spatiotemporal modelling study.},
url = {http://dx.doi.org/10.1016/S1473-3099(26)00237-9},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - BACKGROUND: Plasmodium falciparum kelch13(k13) mutations in Africa signal emerging artemisinin partial resistance (ART-R), endangering malaria control by undermining artemisinin-based combination therapies (ACTs). Sparse surveillance obscures whether rising k13 ART-R prevalence reflects local emergence or geographical expansion. We aimed to model and infer high-resolution spatiotemporal prevalence of k13 ART-R mutations, as well as mdr1 and crt mutations (markers of reduced susceptibility to ACT partner drugs), to inform public health policy. METHODS: For this systematic review and modelling analysis, we searched PubMed, Ovid MEDLINE, and Web of Science databases for English-language primary studies reporting malaria resistance, conducted in Africa, reporting pretreatment P falciparum samples with genotyping of k13 (all codons), mdr1 N86Y, or crt K76T, and that provided sufficient survey time and location metadata and complete, primary data, published between Sept 25, 2014, and July 9, 2025, with data extracted from full-text reports. Studies identified during the systematic review were added to 11 privately held datasets that met the same eligibility criteria but were unpublished at the time of review to give the augmented systematic review. Studies from the augmented systematic review were added to existing data from the Worldwide Antimalarial Resistance Network molecular surveyor (WWARN), MalariaGEN Pf8, and the WHO malaria threats map (WHO MTM), with any duplicates removed. The integrated dataset was harmonised by use of a standardised data schema. We estimated the continuous prevalence of each mutation using a spatiotemporal Gaussian process model and summarised with median and 95% credible intervals over posterior draws. The study was registered with PROSPERO (CRD42024593923). FINDINGS: We identified 1119 articles during the database search, with 120 studies included in the final analysis. These were augmented with 11 privately held datasets. In total, the aug
AU - Young,NW
AU - Meier-Scherling,CPG
AU - Cuomo-Dannenburg,G
AU - Tollefson,GA
AU - Connelly,SV
AU - Marglous,J
AU - Gyuricza,IG
AU - Carey-Ewend,K
AU - Kyong-Shin,R
AU - Popkin-Hall,ZR
AU - Zeleke,AJ
AU - Ishengoma,DS
AU - Fola,AA
AU - Simkin,A
AU - Niaré,K
AU - Parr,JB
AU - Conrad,M
AU - Okell,LC
AU - Ruybal-Pesántez,S
AU - Watson,OJ
AU - Juliano,JJ
AU - Bailey,JA
AU - Verity,R
DO - 10.1016/S1473-3099(26)00237-9
PY - 2026///
TI - Mapping the prevalence of molecular markers of Plasmodium falciparum artemisinin partial resistance in Africa: a systematic review and spatiotemporal modelling study.
T2 - Lancet Infect Dis
UR - http://dx.doi.org/10.1016/S1473-3099(26)00237-9
UR - https://www.ncbi.nlm.nih.gov/pubmed/42413528
ER -