Predicting Influenza Epidemic for United States.

Influenza causes repeat epidemics and huge loss of lives and properties. To predict influenza epidemics, we proposed an infectious disease dynamic prediction model with control variables (SEIR-CV), which considers the characteristics of the influenza epidemic transmission, seasonal impacts, and the intensity changes of control measures over time. The critical parameters of the model were inversed using an adjoint method.

[Analysis of CX32 gene mutation and related clinical features in Chinese Han Charcot-Marie-Tooth families].

Objective: To analyze the mutation of CX32 gene and related clinical features in Chinese Han patients with Charcot-Marie-Tooth (CMT) disease.

Methods: Thirty-four CMT families, from 2004 to 2011 at Departments of Neurology, Xiangya Hospital, Third Xiangya Hospital and National Key Laboratory of Medical Genetics, were selected for CX32 mutation screening after the exclusion of the PMP22 duplication and male-to-male transmission. Mutation analysis was carried out by polymerase chain reaction (PCR) plus direct sequencing.