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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Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192173 |
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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 |
work_keys_str_mv |
AT laurenmchilds theimpactofwithinvectorparasitedevelopmentontheextrinsicincubationperiod AT oliviafprosper theimpactofwithinvectorparasitedevelopmentontheextrinsicincubationperiod AT laurenmchilds impactofwithinvectorparasitedevelopmentontheextrinsicincubationperiod AT oliviafprosper impactofwithinvectorparasitedevelopmentontheextrinsicincubationperiod |
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