Cyclosporiasis, caused by the parasite Cyclospora cayetanensis, leads to watery diarrhea and has seen an increase in cases in the US, prompting public health agencies to enhance outbreak investigation tools.
The CDC developed a new detection system using deep sequencing and machine learning to identify genetic clusters of the parasite, with initial evaluations showing promising effectiveness, though early versions faced bioinformatics limitations.
Recent improvements to the CDC's genotyping system addressed previous issues, and testing confirmed its strong performance, with high sensitivity (90%) and specificity (99%), paving the way for a nationwide network for C. cayetanensis monitoring.