Unraveling trends in schistosomiasis: deep learning insights into national control programs in China.

ABSTRACT:

Objectives

To achieve the ambitious goal of eliminating schistosome infections, the Chinese government has implemented diverse control strategies. This study explored the progress of the 2 most recent national schistosomiasis control programs in an endemic area along the Yangtze River in China.

Methods

We obtained village-level parasitological data from cross-sectional surveys combined with environmental data in Anhui Province, China from 1997 to 2015. A convolutional neural network (CNN) based on a hierarchical integro-difference equation (IDE) framework (i.e., CNN-IDE) was used to model spatio-temporal variations in schistosomiasis. Two traditional models were also constructed for comparison with 2 evaluation indicators: the mean-squared prediction error (MSPE) and continu

SUBMITTER: Su Q 

PROVIDER: S-EPMC11369565 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature