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Planning chemotherapy based schistosomiasis control: validation of a mathematical model using data on Schistosoma haematobium from Pemba Tanzania.

机译:计划基于化学疗法的血吸虫病控制:使用坦桑尼亚奔巴的血吸虫血吸虫病数据验证数学模型。

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摘要

A mathematical model, based on a deterministic differential equation framework, has been developed to predict the impact of community chemotherapy programmes for human schistosomiasis. Here, this model is validated using data collected from a long-term control programme for urinary schistosomiasis on the island of Pemba, Zanzibar, United Republic of Tanzania, initiated in 1986 and still ongoing, in which schoolchildren were offered praziquantel chemotherapy every 6 months. Prevalence of infection and blood in urine were monitored in all the schools (total 26000 children from 60 schools) and more detailed data were collected in selected evaluation schools. Model predictions were run by using the initial prevalence as input. The predictions were very close to the observed decreases in prevalence and in prevalence of blood in urine. The correspondence improved further when the data were combined, going from single school level to district, and when the entire data set was combined. The accuracy of the predictions suggests that this model could be used as a tool to predict the consequences of chemotherapy control programmes. It is currently in press as a Windows software package under the name of 'EpiSchisto'.
机译:已经开发出基于确定性微分方程框架的数学模型,以预测社区化学疗法对人类血吸虫病的影响。在此,使用从坦桑尼亚联合共和国桑给巴尔州奔巴岛的一个长期血吸虫病长期控制计划收集的数据对该模型进行了验证,该数据始于1986年,目前仍在进行中,每6个月向小学生进行吡喹酮化疗。在所有学校(来自60所学校的26000名儿童)中监测感染和尿液的流行率,并在选定的评估学校中收集更详细的数据。通过使用初始患病率作为输入来运行模型预测。该预测与所观察到的尿液流行率和血液流行率下降非常接近。当合并数据时,从单个学校级别到地区,以及合并整个数据集时,对应关系进一步改善。预测的准确性表明,该模型可以用作预测化学疗法控制程序后果的工具。当前它是Windows软件包,名称为“ EpiSchisto”。

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