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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6071336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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