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Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony

During sporogony, malaria-causing parasites infect a mosquito, reproduce and migrate to the mosquito salivary glands where they can be transmitted the next time blood feeding occurs. The time required for sporogony, known as the extrinsic incubation period (EIP), is an important determinant of malar...

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Detalles Bibliográficos
Autores principales: Stopard, Isaac J., Churcher, Thomas S., Lambert, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909686/
https://www.ncbi.nlm.nih.gov/pubmed/33591963
http://dx.doi.org/10.1371/journal.pcbi.1008658
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author Stopard, Isaac J.
Churcher, Thomas S.
Lambert, Ben
author_facet Stopard, Isaac J.
Churcher, Thomas S.
Lambert, Ben
author_sort Stopard, Isaac J.
collection PubMed
description During sporogony, malaria-causing parasites infect a mosquito, reproduce and migrate to the mosquito salivary glands where they can be transmitted the next time blood feeding occurs. The time required for sporogony, known as the extrinsic incubation period (EIP), is an important determinant of malaria transmission intensity. The EIP is typically estimated as the time for a given percentile, x, of infected mosquitoes to develop salivary gland sporozoites (the infectious parasite life stage), which is denoted by EIP(x). Many mechanisms, however, affect the observed sporozoite prevalence including the human-to-mosquito transmission probability and possibly differences in mosquito mortality according to infection status. To account for these various mechanisms, we present a mechanistic mathematical model, which explicitly models key processes at the parasite, mosquito and observational scales. Fitting this model to experimental data, we find greater variation in the EIP than previously thought: we estimated the range between EIP(10) and EIP(90) (at 27°C) as 4.5 days compared to 0.9 days using existing statistical methods. This pattern holds over the range of study temperatures included in the dataset. Increasing temperature from 21°C to 34°C decreased the EIP(50) from 16.1 to 8.8 days. Our work highlights the importance of mechanistic modelling of sporogony to (1) improve estimates of malaria transmission under different environmental conditions or disease control programs and (2) evaluate novel interventions that target the mosquito life stages of the parasite.
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spelling pubmed-79096862021-03-05 Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony Stopard, Isaac J. Churcher, Thomas S. Lambert, Ben PLoS Comput Biol Research Article During sporogony, malaria-causing parasites infect a mosquito, reproduce and migrate to the mosquito salivary glands where they can be transmitted the next time blood feeding occurs. The time required for sporogony, known as the extrinsic incubation period (EIP), is an important determinant of malaria transmission intensity. The EIP is typically estimated as the time for a given percentile, x, of infected mosquitoes to develop salivary gland sporozoites (the infectious parasite life stage), which is denoted by EIP(x). Many mechanisms, however, affect the observed sporozoite prevalence including the human-to-mosquito transmission probability and possibly differences in mosquito mortality according to infection status. To account for these various mechanisms, we present a mechanistic mathematical model, which explicitly models key processes at the parasite, mosquito and observational scales. Fitting this model to experimental data, we find greater variation in the EIP than previously thought: we estimated the range between EIP(10) and EIP(90) (at 27°C) as 4.5 days compared to 0.9 days using existing statistical methods. This pattern holds over the range of study temperatures included in the dataset. Increasing temperature from 21°C to 34°C decreased the EIP(50) from 16.1 to 8.8 days. Our work highlights the importance of mechanistic modelling of sporogony to (1) improve estimates of malaria transmission under different environmental conditions or disease control programs and (2) evaluate novel interventions that target the mosquito life stages of the parasite. Public Library of Science 2021-02-16 /pmc/articles/PMC7909686/ /pubmed/33591963 http://dx.doi.org/10.1371/journal.pcbi.1008658 Text en © 2021 Stopard et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Stopard, Isaac J.
Churcher, Thomas S.
Lambert, Ben
Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
title Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
title_full Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
title_fullStr Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
title_full_unstemmed Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
title_short Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
title_sort estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909686/
https://www.ncbi.nlm.nih.gov/pubmed/33591963
http://dx.doi.org/10.1371/journal.pcbi.1008658
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