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

Abstract 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,...

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Published in:Malaria Journal
Main Authors: Nick Scott, Ricardo Ataide, David P. Wilson, Margaret Hellard, Ric N. Price, Julie A. Simpson, Freya J. I. Fowkes
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2018
Subjects:
Online Access:https://doi.org/10.1186/s12936-018-2418-y
https://doaj.org/article/629b04b4fdf1459d8566b6e6deb4e73b
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spelling ftdoajarticles:oai:doaj.org/article:629b04b4fdf1459d8566b6e6deb4e73b 2023-05-15T15:13:38+02:00 Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model Nick Scott Ricardo Ataide David P. Wilson Margaret Hellard Ric N. Price Julie A. Simpson Freya J. I. Fowkes 2018-08-01T00:00:00Z https://doi.org/10.1186/s12936-018-2418-y https://doaj.org/article/629b04b4fdf1459d8566b6e6deb4e73b EN eng BMC http://link.springer.com/article/10.1186/s12936-018-2418-y https://doaj.org/toc/1475-2875 doi:10.1186/s12936-018-2418-y 1475-2875 https://doaj.org/article/629b04b4fdf1459d8566b6e6deb4e73b Malaria Journal, Vol 17, Iss 1, Pp 1-11 (2018) Africa Malaria Artemisinin Drug resistance Immunity Mathematical model Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2018 ftdoajarticles https://doi.org/10.1186/s12936-018-2418-y 2022-12-31T11:45:54Z Abstract 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 17 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Africa
Malaria
Artemisinin
Drug resistance
Immunity
Mathematical model
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
spellingShingle Africa
Malaria
Artemisinin
Drug resistance
Immunity
Mathematical model
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
Nick Scott
Ricardo Ataide
David P. Wilson
Margaret Hellard
Ric N. Price
Julie A. Simpson
Freya J. I. Fowkes
Implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
topic_facet Africa
Malaria
Artemisinin
Drug resistance
Immunity
Mathematical model
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
description Abstract 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.
format Article in Journal/Newspaper
author Nick Scott
Ricardo Ataide
David P. Wilson
Margaret Hellard
Ric N. Price
Julie A. Simpson
Freya J. I. Fowkes
author_facet Nick Scott
Ricardo Ataide
David P. Wilson
Margaret Hellard
Ric N. Price
Julie A. Simpson
Freya J. I. Fowkes
author_sort Nick Scott
title 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_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_sort implications of population-level immunity for the emergence of artemisinin-resistant malaria: a mathematical model
publisher BMC
publishDate 2018
url https://doi.org/10.1186/s12936-018-2418-y
https://doaj.org/article/629b04b4fdf1459d8566b6e6deb4e73b
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Malaria Journal, Vol 17, Iss 1, Pp 1-11 (2018)
op_relation http://link.springer.com/article/10.1186/s12936-018-2418-y
https://doaj.org/toc/1475-2875
doi:10.1186/s12936-018-2418-y
1475-2875
https://doaj.org/article/629b04b4fdf1459d8566b6e6deb4e73b
op_doi https://doi.org/10.1186/s12936-018-2418-y
container_title Malaria Journal
container_volume 17
container_issue 1
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