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Factors Associated With the Spatial Distribution of Severe Fever With Thrombocytopenia Syndrome in Zhejiang Province, China: Risk Analysis Based on Maximum Entropy

Factors Associated With the Spatial Distribution of Severe Fever With Thrombocytopenia Syndrome in Zhejiang Province, China: Risk Analysis Based on Maximum Entropy

The maximum entropy (Max Ent) model is an artificial intelligence model based on machine learning techniques, and the predictive performance is believed to almost be at the highest level for modeling ENM [25,26]. In this study, SFTS distribution from 2011 to 2019 in Zhejiang Province was regarded as a dependent factor; the remaining factors (described earlier) were independent factors.

Mingyong Tao, Ying Liu, Feng Ling, Jiangping Ren, Rong Zhang, Xuguang Shi, Song Guo, Jianmin Jiang, Jimin Sun

JMIR Public Health Surveill 2024;10:e46070