| ID | 34120 |
| FullText URL | |
| Author |
Hisakane, Naoto
Kirinoki, Masashi
Chigusa, Yuichi
Sinuon, Muth
Socheat, Duong
Matsuda, Hajime
|
| Abstract | We constructed a mathematical model for the transmission of Schistosoma mekongi in Cambodia. The simulation of the model will be instrumental in planning schistosomiasis control measures. The model includes two definitive hosts, humans and dogs, as animal reservoirs. Dogs are recognized to play an important role in schistosomiasis transmission in Cambodia. For the purpose of dealing with age-specific prevalence and intensity of infection, the human population was classified into eight age categories in the model. To describe the seasonal fluctuation of the intermediate host population of S. mekongi, the "Post-Spate Survival" hypothesis was adopted for the population dynamics of Neotricula aperta present in the Mekong River. We carried out simulations to evaluate the effect of universal treatment (UT) and targeted mass treatment (TT) with praziquantel on the reduction in prevalence of S. mekongi. The simulations indicated that biyearly UT for 8 years or yearly TT for 5 years after three courses of yearly UT could reduce the prevalence to below 5% when a UT or TT coverage of 85% of inhabitants was achieved. The simulation suggested that the suppression of S. mekongi in Cambodia would be possible by UT or TT with a high coverage rate. |
| Keywords | Schistosoma mekongi
Cambodia
mathematical model
Neotricula aperta
Mekong River
|
| Note | Published with permission from the copyright holder.
This is a author's copy,as published in PARASITOLOGY INTERNATIONAL , 2008, volume 57, issue 3, pp 379-385. Publisher URL: http://dx.doi.org/10.1016/j.parint.2008.03.003 Direct access to Thomson Web of Science record Copyright © 2008 Elsevier Ireland Ltd. All rights reserved. |
| Published Date | 2008-09-03
|
| Publication Title |
PARASITOLOGY INTERNATIONAL
|
| Volume | volume57
|
| Issue | issue3
|
| Content Type |
Journal Article
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| language |
English
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| Refereed |
True
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| DOI | |
| Web of Science KeyUT | |
| Submission Path | microbiology_and_immunology/10
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