Office of Disease Prevention

Predictive association between control measures and chikungunya fever incidence based on random forest and SHAP analysis

Background Using the 2025 Chikungunya fever (CHIK) outbreak in Chancheng District, Foshan City, this study applied a random forest (RF) regression model combined with SHapley Additive exPlanations (SHAP) to explore predictive associations, nonlinear relationships and potential th...

Genomic analysis and clinical characteristics of a seasonal upsurge of Streptococcus pyogenes emm12

Abstract Purpose Streptococcus pyogenes cause invasive infections with variable incidence over time. In 2023, an increase in invasive S. pyogenes infections caused by emm- types 1 and 12 was reported globally. In Southern Sweden an increase in S. pyogenes emm 12 severe infections...