Optimized strategy for schistosomiasis elimination: results from marginal benefit modeling.

ABSTRACT:

Background

Poverty contributes to the transmission of schistosomiasis via multiple pathways, with the insufficiency of appropriate interventions being a crucial factor. The aim of this article is to provide more economical and feasible intervention measures for endemic areas with varying levels of poverty.

Methods

We collected and analyzed the prevalence patterns along with the cost of control measures in 11 counties over the last 20 years in China. Seven machine learning models, including XGBoost, support vector machine, generalized linear model, regression tree, random forest, gradient boosting machine and neural network, were used for developing model and calculate marginal benefits.

Results

The XGBoost model had the highest prediction accuracy with an R²

SUBMITTER: Li Q 

PROVIDER: S-EPMC10652544 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature