The impact of within-vector parasite development on the extrinsic incubation period

Mosquito-borne diseases, in particular malaria, have a significant burden worldwide leading to nearly half a million deaths each year. The malaria parasite requires a vertebrate host, such as a human, and a vector host, the Anopheles mosquito, to complete its full life cycle. Here, we focus on the p...

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Main Authors: Lauren M. Childs, Olivia F. Prosper
Format: Article
Language:English
Published: The Royal Society 2020-10-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192173
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spelling doaj-485e9c8bf64e44dba1493ef5f0aa09312020-11-25T03:06:28ZengThe Royal SocietyRoyal Society Open Science2054-57032020-10-0171010.1098/rsos.192173192173The impact of within-vector parasite development on the extrinsic incubation periodLauren M. ChildsOlivia F. ProsperMosquito-borne diseases, in particular malaria, have a significant burden worldwide leading to nearly half a million deaths each year. The malaria parasite requires a vertebrate host, such as a human, and a vector host, the Anopheles mosquito, to complete its full life cycle. Here, we focus on the parasite dynamics within the vector to examine the first appearance of sporozoites in the salivary glands, which indicates a first time of infectiousness of mosquitoes. The timing of this period of pathogen development in the mosquito until transmissibility, known as the extrinsic incubation period, remains poorly understood. We develop compartmental models of within-mosquito parasite dynamics fitted with experimental data on oocyst and sporozoite counts. We find that only a fraction of oocysts burst to release sporozoites and bursting must be delayed either via a time-dependent function or a gamma-distributed set of compartments. We use Bayesian inference to estimate distributions of parameters and determine that bursting rate is a key epidemiological parameter. A better understanding of the factors impacting the extrinsic incubation period will aid in the development of interventions to slow or stop the spread of malaria.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192173malariamosquitowithin-host modelbayesian inferenceextrinsic incubation period
collection DOAJ
language English
format Article
sources DOAJ
author Lauren M. Childs
Olivia F. Prosper
spellingShingle Lauren M. Childs
Olivia F. Prosper
The impact of within-vector parasite development on the extrinsic incubation period
Royal Society Open Science
malaria
mosquito
within-host model
bayesian inference
extrinsic incubation period
author_facet Lauren M. Childs
Olivia F. Prosper
author_sort Lauren M. Childs
title The impact of within-vector parasite development on the extrinsic incubation period
title_short The impact of within-vector parasite development on the extrinsic incubation period
title_full The impact of within-vector parasite development on the extrinsic incubation period
title_fullStr The impact of within-vector parasite development on the extrinsic incubation period
title_full_unstemmed The impact of within-vector parasite development on the extrinsic incubation period
title_sort impact of within-vector parasite development on the extrinsic incubation period
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2020-10-01
description Mosquito-borne diseases, in particular malaria, have a significant burden worldwide leading to nearly half a million deaths each year. The malaria parasite requires a vertebrate host, such as a human, and a vector host, the Anopheles mosquito, to complete its full life cycle. Here, we focus on the parasite dynamics within the vector to examine the first appearance of sporozoites in the salivary glands, which indicates a first time of infectiousness of mosquitoes. The timing of this period of pathogen development in the mosquito until transmissibility, known as the extrinsic incubation period, remains poorly understood. We develop compartmental models of within-mosquito parasite dynamics fitted with experimental data on oocyst and sporozoite counts. We find that only a fraction of oocysts burst to release sporozoites and bursting must be delayed either via a time-dependent function or a gamma-distributed set of compartments. We use Bayesian inference to estimate distributions of parameters and determine that bursting rate is a key epidemiological parameter. A better understanding of the factors impacting the extrinsic incubation period will aid in the development of interventions to slow or stop the spread of malaria.
topic malaria
mosquito
within-host model
bayesian inference
extrinsic incubation period
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192173
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