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Updated: Feb 14, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[Establishment of a risk assessment model for laboratory biosafety of Cryptosporidium]
Xiong Yan-Hong1, Xiang Fang2, Xia Shang1
1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health, WHO Collaborating Centre for Tropical Diseases, Shanghai 200025, China.
Objective:
To evaluate the risk assessment model of Cryptosporidium laboratory, so as to provide the basis for laboratory personnel engaging in the operation of Cryptosporidium.
Methods:
Firstly, the risk factors of Cryptosporidium infection in laboratory were determined by the literature and Delphi, and then the weights of risk factors were determined by fuzzy analytic hierarchy process. A risk assessment model for laboratory biosafety of Cryptosporidium was established.
Results:
Compared to the indexes, based on the risk assessment model, stool sample processing was the two steps in the laboratory with high risk of infection and high risk factors, with the combination weights of risk possibility and hazard rating were 0.111 and 0.107, respectively.
Conclusions:
The risk assessment model established is feasible. It can be used to make some suggestions for the related laboratory staff.
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