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Cryptosporidiosis threat under climate change in China: prediction and validation of habitat suitability and outbreak risk for human-derived Cryptosporidium based on ecological niche models.

Xu WangYanyan JiangWeiping WuXiaozhou HeZhenghuan WangYayi GuanNing XuQilu ChenYujuan ShenJianping Cao
Published in: Infectious diseases of poverty (2023)
The Maxent model is applicable in prediction of Cryptosporidium habitat suitability and can achieve excellent simulation results. These results suggest a current high risk of transmission and significant pressure for cryptosporidiosis prevention and control in China. Against a future climate change background, Cryptosporidium may gain more suitable habitats within China. Constructing a national surveillance network could facilitate further elucidation of the epidemiological trends and transmission patterns of cryptosporidiosis, and mitigate the associated epidemic and outbreak risks.
Keyphrases
  • climate change
  • human health
  • endothelial cells
  • public health
  • pluripotent stem cells