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Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study

BACKGROUND: Independent emergence and spread of artemisinin-resistant Plasmodium falciparum malaria have recently been confirmed in Africa, with molecular markers associated with artemisinin resistance increasingly detected. Surveillance to promptly detect and effectively respond to anti-malarial re...

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Autores principales: Kagoro, Frank M., Allen, Elizabeth, Mabuza, Aaron, Workman, Lesley, Magagula, Ray, Kok, Gerdalize, Davies, Craig, Malatje, Gillian, Guérin, Philippe J., Dhorda, Mehul, Maude, Richard J., Raman, Jaishree, Barnes, Karen I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244181/
https://www.ncbi.nlm.nih.gov/pubmed/35768869
http://dx.doi.org/10.1186/s12936-022-04224-4
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author Kagoro, Frank M.
Allen, Elizabeth
Mabuza, Aaron
Workman, Lesley
Magagula, Ray
Kok, Gerdalize
Davies, Craig
Malatje, Gillian
Guérin, Philippe J.
Dhorda, Mehul
Maude, Richard J.
Raman, Jaishree
Barnes, Karen I.
author_facet Kagoro, Frank M.
Allen, Elizabeth
Mabuza, Aaron
Workman, Lesley
Magagula, Ray
Kok, Gerdalize
Davies, Craig
Malatje, Gillian
Guérin, Philippe J.
Dhorda, Mehul
Maude, Richard J.
Raman, Jaishree
Barnes, Karen I.
author_sort Kagoro, Frank M.
collection PubMed
description BACKGROUND: Independent emergence and spread of artemisinin-resistant Plasmodium falciparum malaria have recently been confirmed in Africa, with molecular markers associated with artemisinin resistance increasingly detected. Surveillance to promptly detect and effectively respond to anti-malarial resistance is generally suboptimal in Africa, especially in low transmission settings where therapeutic efficacy studies are often not feasible due to recruitment challenges. However, these communities may be at higher risk of anti-malarial resistance. METHODS: From March 2018 to February 2020, a sequential mixed-methods study was conducted to evaluate the feasibility of the near-real-time linkage of individual patient anti-malarial resistance profiles with their case notifications and treatment response reports, and map these to fine scales in Nkomazi sub-district, Mpumalanga, a pre-elimination area in South Africa. RESULTS: Plasmodium falciparum molecular marker resistance profiles were linked to 55.1% (2636/4787) of notified malaria cases, 85% (2240/2636) of which were mapped to healthcare facility, ward and locality levels. Over time, linkage of individual malaria case demographic and molecular data increased to 75.1%. No artemisinin resistant validated/associated  Kelch-13 mutations were detected in the 2385 PCR positive samples. Almost all 2812 samples assessed for lumefantrine susceptibility carried the wildtype mdr86ASN and crt76LYS alleles, potentially associated with decreased lumefantrine susceptibility. CONCLUSION: Routine near-real-time mapping of molecular markers associated with anti-malarial drug resistance on a fine spatial scale provides a rapid and efficient early warning system for emerging resistance. The lessons learnt here could inform scale-up to provincial, national and regional malaria elimination programmes, and may be relevant for other antimicrobial resistance surveillance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04224-4.
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spelling pubmed-92441812022-06-30 Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study Kagoro, Frank M. Allen, Elizabeth Mabuza, Aaron Workman, Lesley Magagula, Ray Kok, Gerdalize Davies, Craig Malatje, Gillian Guérin, Philippe J. Dhorda, Mehul Maude, Richard J. Raman, Jaishree Barnes, Karen I. Malar J Research BACKGROUND: Independent emergence and spread of artemisinin-resistant Plasmodium falciparum malaria have recently been confirmed in Africa, with molecular markers associated with artemisinin resistance increasingly detected. Surveillance to promptly detect and effectively respond to anti-malarial resistance is generally suboptimal in Africa, especially in low transmission settings where therapeutic efficacy studies are often not feasible due to recruitment challenges. However, these communities may be at higher risk of anti-malarial resistance. METHODS: From March 2018 to February 2020, a sequential mixed-methods study was conducted to evaluate the feasibility of the near-real-time linkage of individual patient anti-malarial resistance profiles with their case notifications and treatment response reports, and map these to fine scales in Nkomazi sub-district, Mpumalanga, a pre-elimination area in South Africa. RESULTS: Plasmodium falciparum molecular marker resistance profiles were linked to 55.1% (2636/4787) of notified malaria cases, 85% (2240/2636) of which were mapped to healthcare facility, ward and locality levels. Over time, linkage of individual malaria case demographic and molecular data increased to 75.1%. No artemisinin resistant validated/associated  Kelch-13 mutations were detected in the 2385 PCR positive samples. Almost all 2812 samples assessed for lumefantrine susceptibility carried the wildtype mdr86ASN and crt76LYS alleles, potentially associated with decreased lumefantrine susceptibility. CONCLUSION: Routine near-real-time mapping of molecular markers associated with anti-malarial drug resistance on a fine spatial scale provides a rapid and efficient early warning system for emerging resistance. The lessons learnt here could inform scale-up to provincial, national and regional malaria elimination programmes, and may be relevant for other antimicrobial resistance surveillance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04224-4. BioMed Central 2022-06-29 /pmc/articles/PMC9244181/ /pubmed/35768869 http://dx.doi.org/10.1186/s12936-022-04224-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kagoro, Frank M.
Allen, Elizabeth
Mabuza, Aaron
Workman, Lesley
Magagula, Ray
Kok, Gerdalize
Davies, Craig
Malatje, Gillian
Guérin, Philippe J.
Dhorda, Mehul
Maude, Richard J.
Raman, Jaishree
Barnes, Karen I.
Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
title Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
title_full Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
title_fullStr Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
title_full_unstemmed Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
title_short Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
title_sort making data map-worthy—enhancing routine malaria data to support surveillance and mapping of plasmodium falciparum anti-malarial resistance in a pre-elimination sub-saharan african setting: a molecular and spatiotemporal epidemiology study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244181/
https://www.ncbi.nlm.nih.gov/pubmed/35768869
http://dx.doi.org/10.1186/s12936-022-04224-4
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