Using Mobile Phone Data to Estimate the Relationship between Population Flow and Influenza Infection Pathways.

This study aimed to analyze population flow using global positioning system (GPS) location data and evaluate influenza infection pathways by determining the relationship between population flow and the number of drugs sold at pharmacies. Neural collective graphical models (NCGMs; Iwata and Shimizu 2019) were applied for 25 cell areas, each measuring 10 × 10 km2, in Osaka, Kyoto, Nara, and Hyogo prefectures to estimate population flow. An NCGM uses a neural network to incorporate the spatiotemporal dependency issue and reduce the estimated parameters. The prescription peaks between several cells with high population flow showed a high correlation with a delay of one to two days or with a seven-day time-lag. It was observed that not much population flows from one cell to the outside area on weekdays. This observation may have been due to geographical features and undeveloped transportation networks. The number of prescriptions for anti-influenza drugs in that cell remained low during the observation period. The present results indicate that influenza did not spread to areas with undeveloped traffic networks, and the peak number of drug prescriptions arrived with a time lag of several days in areas with a high amount of area-to-area movement due to commuting.

[Case report of transient splenium abnormality in Charcot-Marie-Tooth disease].

We report a patient of Charcot-Marie-Tooth disease (CMT) accompanied by transient splenium abnormality in brain MRI. A 34-year-old man suffered from chronic progressive unsteadiness and sensory disturbance of all limbs. Neurological examination showed muscle weakness and atrophy in the distal extremities with pes cavus, mild sensory disturbance of four extremities and generalized decreased reflexes. The nerve conduction study described the presence of sensory-motor polyneuropathy. We could not investigate his GJB1 gene. However, we suspected that he was X-linked CMT (CMTX), because his electrophysiological findings showed intermediate slowing of MCV, and auditory brain-stem response (ABR) demonstrated central conduction slowing. Brain MRI revealed the abnormal high signal intensity in the splenium of the corpus callosum on T2-weighted image. This lesion diminished two months later without any treatment. Recently, there had been reported transient splenium abnormality in CMTX cases, and there were clinical similarities between the cases of these reports and our case. We considered that the pathophysiology of this case was the disruption of gap junction communications expressed between oligodendrocyte and astrocytes induced by connexin 32 (Cx32) mutations. Furthermore, the transient functional disturbance of astrocytes would be another pathophysiologic mechanism of splenium abnormality.