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Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model

BACKGROUND: Artemisinin-resistant Plasmodium falciparum has emerged in the Greater Mekong Subregion, an area of relatively low transmission, but has yet to be reported in Africa. A population-based mathematical model was used to investigate the relationship between P. falciparum prevalence, exposure...

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Autores principales: Scott, Nick, Ataide, Ricardo, Wilson, David P., Hellard, Margaret, Price, Ric N., Simpson, Julie A., Fowkes, Freya J. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071336/
https://www.ncbi.nlm.nih.gov/pubmed/30071877
http://dx.doi.org/10.1186/s12936-018-2418-y
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author Scott, Nick
Ataide, Ricardo
Wilson, David P.
Hellard, Margaret
Price, Ric N.
Simpson, Julie A.
Fowkes, Freya J. I.
author_facet Scott, Nick
Ataide, Ricardo
Wilson, David P.
Hellard, Margaret
Price, Ric N.
Simpson, Julie A.
Fowkes, Freya J. I.
author_sort Scott, Nick
collection PubMed
description BACKGROUND: Artemisinin-resistant Plasmodium falciparum has emerged in the Greater Mekong Subregion, an area of relatively low transmission, but has yet to be reported in Africa. A population-based mathematical model was used to investigate the relationship between P. falciparum prevalence, exposure-acquired immunity and time-to-emergence of artemisinin resistance. The possible implication for the emergence of resistance across Africa was assessed. METHODS: The model included human and mosquito populations, two strains of malaria (“wild-type”, “mutant”), three levels of human exposure-acquired immunity (none, low, high) with two types of immunity for each level (sporozoite/liver stage immunity and blood-stage/gametocyte immunity) and drug pressure based on per-capita treatment numbers. RESULTS: The model predicted that artemisinin-resistant strains may circulate up to 10 years longer in high compared to low P. falciparum prevalence areas before resistance is confirmed. Decreased time-to-resistance in low prevalence areas was explained by low genetic diversity and immunity, which resulted in increased probability of selection and spread of artemisinin-resistant strains. Artemisinin resistance was estimated to be established by 2020 in areas of Africa with low (< 10%) P. falciparum prevalence, but not for 5 or 10 years later in moderate (10–25%) or high (> 25%) prevalence areas, respectively. CONCLUSIONS: Areas of low transmission and low immunity give rise to a more rapid expansion of artemisinin-resistant parasites, corroborating historical observations of anti-malarial resistance emergence. Populations where control strategies are in place that reduce malaria transmission, and hence immunity, may be prone to a rapid emergence and spread of artemisinin-resistant strains and thus should be carefully monitored. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2418-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-60713362018-08-06 Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model Scott, Nick Ataide, Ricardo Wilson, David P. Hellard, Margaret Price, Ric N. Simpson, Julie A. Fowkes, Freya J. I. Malar J Research BACKGROUND: Artemisinin-resistant Plasmodium falciparum has emerged in the Greater Mekong Subregion, an area of relatively low transmission, but has yet to be reported in Africa. A population-based mathematical model was used to investigate the relationship between P. falciparum prevalence, exposure-acquired immunity and time-to-emergence of artemisinin resistance. The possible implication for the emergence of resistance across Africa was assessed. METHODS: The model included human and mosquito populations, two strains of malaria (“wild-type”, “mutant”), three levels of human exposure-acquired immunity (none, low, high) with two types of immunity for each level (sporozoite/liver stage immunity and blood-stage/gametocyte immunity) and drug pressure based on per-capita treatment numbers. RESULTS: The model predicted that artemisinin-resistant strains may circulate up to 10 years longer in high compared to low P. falciparum prevalence areas before resistance is confirmed. Decreased time-to-resistance in low prevalence areas was explained by low genetic diversity and immunity, which resulted in increased probability of selection and spread of artemisinin-resistant strains. Artemisinin resistance was estimated to be established by 2020 in areas of Africa with low (< 10%) P. falciparum prevalence, but not for 5 or 10 years later in moderate (10–25%) or high (> 25%) prevalence areas, respectively. CONCLUSIONS: Areas of low transmission and low immunity give rise to a more rapid expansion of artemisinin-resistant parasites, corroborating historical observations of anti-malarial resistance emergence. Populations where control strategies are in place that reduce malaria transmission, and hence immunity, may be prone to a rapid emergence and spread of artemisinin-resistant strains and thus should be carefully monitored. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2418-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-02 /pmc/articles/PMC6071336/ /pubmed/30071877 http://dx.doi.org/10.1186/s12936-018-2418-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Scott, Nick
Ataide, Ricardo
Wilson, David P.
Hellard, Margaret
Price, Ric N.
Simpson, Julie A.
Fowkes, Freya J. I.
Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
title Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
title_full Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
title_fullStr Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
title_full_unstemmed Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
title_short Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
title_sort implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071336/
https://www.ncbi.nlm.nih.gov/pubmed/30071877
http://dx.doi.org/10.1186/s12936-018-2418-y
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