Modeling the Transmission of Schistosomiasis: an Introductory View

Overview

Journal Am J Trop Med Hyg

Specialty Tropical Medicine

Date 1996 Nov 1

PMID 8940967

Citations 17

Authors

A D Barbour

Affiliations

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Abstract

The transmission of schistosomiasis can be modeled at various levels of complexity in terms of systems of mathematical equations. This paper shows how such models can be set up, and stresses the importance of incorporating the right basic assumptions from the outset. The use of models for evaluating possible control strategies is illustrated in the context of a simple prevalence model of transmission. Some limitations and uncertainties involved in modeling schistosomiasis are also indicated.

Citing Articles

Modeling schistosomiasis transmission: the importance of snail population structure.

Anderson L, Loker E, Wearing H Parasit Vectors. 2021; 14(1):94.

PMID: 33536054 PMC: 7860629. DOI: 10.1186/s13071-021-04587-8.

Opportunities and challenges for modelling epidemiological and evolutionary dynamics in a multihost, multiparasite system: Zoonotic hybrid schistosomiasis in West Africa.

Borlase A, Webster J, Rudge J Evol Appl. 2018; 11(4):501-515.

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The basic reproductive ratio of Barbour's two-host schistosomiasis model with seasonal fluctuations.

Gao S, Cao H, He Y, Liu Y, Zhang X, Yang G Parasit Vectors. 2017; 10(1):42.

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Multi-host model and threshold of intermediate host Oncomelania snail density for eliminating schistosomiasis transmission in China.

Zhou Y, Chen Y, Liang S, Song X, Chen G, He Z Sci Rep. 2016; 6:31089.

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Are All Hosts Created Equal? Partitioning Host Species Contributions to Parasite Persistence in Multihost Communities.

Fenton A, Streicker D, Petchey O, Pedersen A Am Nat. 2015; 186(5):610-22.

PMID: 26655774 PMC: 6542667. DOI: 10.1086/683173.