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Prediction on the spatial distribution of the seropositive rate of schistosomiasis in Hunan Province, China: a machine learning model integrated with the Kriging method

Crossref DOI link: https://doi.org/10.1007/s00436-024-08331-w

Published Online: 2024-09-04

Published Print: 2024-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xu, Ning

Cai, Yu

Tong, Yixin

Tang, Ling

Zhou, Yu

Gong, Yanfeng

Huang, Junhui

Wang, Jiamin

Chen, Yue

Jiang, Qingwu

Zheng, Mao

Zhou, Yibiao
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Text and Data Mining valid from 2024-09-01

Version of Record valid from 2024-09-01
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Article History

Received: 4 June 2024

Accepted: 19 August 2024

First Online: 4 September 2024

Declarations

:

: In this study, we only collected village-level seropositive rates from the Hunan Institute for Schistosomiasis Control, which does not involve the privacy of research subjects (such as identity cards, names, and phone numbers). This study has been approved by the Ethics Review Committee of the School of Public Health, Fudan University.

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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