Mathematical models of schistosomiasis transmission, morbidity and control with applications to endemic communities in coastal Kenya
Year: 2011
Type: article
Abstract: Schistosomiasis is a tropical parasitic disease caused by blood-dwelling fluke worms of the genus Schistosoma.More than 200 million people worldwide, especially in sub-Saharan Africa, the Middle East and Southeast Asia, suffer from this disease.The disease is characterized by focal epidemiology and over-dispersed distribution pattern, with higher infection rates in children than in adults.Beside acute symptoms, chronic schisto-infection results in indirect morbidity such as cognitive and physical impairment in children.While some advances have been made in the control of the disease through population-based chemotherapy more efforts are required to achieve the goal of disease elimination with limited resources.World Health Organization has proposed several schistosomiasis control guidelines and programs by, and their outcomes need to be assessed.Mathematical models can be used for prediction and control analysis.Here we develop several of them that focus on specific parts and processes of schisto-infection and disease.They are i) dynamics model of snail population with rainfall input; ii)
Author: Xiaoxia Wang
Institution: Case Western Reserve University
Language: English
Subfield: Parasitology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2305439162