Abstract
OBJECTIVE: To establish a stochastic model suitable for interpreting the variation in fecal Schistosoma japonicum egg count, and to estimate its parameters and to describe it.
METHODS: Total variation in fecal egg count with a stochastic model can be divided into two kinds of sources, (1) inter-individual variation, and (2) intra-individual variation. Parameters in the model were estimated with the data collected in actual fecal egg count.
RESULTS: Parameters M and r differed and k kept nearly the same in various age groups. The best cut-off point of r and M for age-splitting was at eight and 12 years, respectively. Parameter k was assumed the same in different age groups in the model E, and r differed in the groups of 2 ∼ 7 years and 8 ∼ years of age, and M differed in the groups of 2 ∼ 11 years and 12 ∼ years of age, with a minimum value of Akaike information criterion (AIC).
CONCLUSION: Age may be an important factor contributing to the estimations of parameters M and r, and the model E was the best one.
Translated title of the contribution | Establishment of a stochastic model for variation in fecal Schistosoma japonicum egg count and estimation of its parameters |
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Original language | Chinese (Traditional) |
Pages (from-to) | 37-39 |
Number of pages | 3 |
Journal | Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] |
Volume | 33 |
Issue number | 1 |
Publication status | Published - Jan 1999 |