The development of an age structured model for schistosomiasis transmission dynamics and control and its validation for Schistosoma mansoni.
Mathematical models are potentially useful tools to aid in the design of control programmes for parasitic diseases. In this paper, a fully age structured epidemiological model of human schistosomiasis is developed and parameterized, and used to predict trends in infection prevalence, intensity and prevalence of heavy infections over age and time during several rounds of mass and age targeted treatment. The model is validated against data from a Schistosoma mansoni control programme in Kenya.
Chan
M S
MS
Department of Zoology, University of Oxford, UK.
Guyatt
H L
HL
Bundy
D A
DA
Booth
M
M
Fulford
A J
AJ
Medley
G F
GF
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D000368:Aged; D002648:Child; D002675:Child, Preschool; D005544:Forecasting; D006801:Humans; D007223:Infant; D007630:Kenya / Q000453:epidemiology; D008875:Middle Aged; D015233:Models, Statistical; D010270:Parasite Egg Count; D011159:Population Surveillance; D011237:Predictive Value of Tests; D015995:Prevalence; D015203:Reproducibility of Results; D012555:Schistosomiasis mansoni / Q000453:epidemiology / Q000469:parasitology / Q000517:prevention & control* / Q000635:transmission*; D013997:Time Factors