Objectives To investigate the immediate psychological effects of Coronavirus Disease 2019 (COVID-19) on medical and non-medical students. Methods An online survey of 805 medical students and 1900 non-medical students was conducted from Feb 4, 2020 to Feb 7, 2020, in China. The questionnaire measured the subjective estimated severity of COVID-19, the impact of the outbreak, and the levels of anxiety and depression of both medical and non-medical students. Results Medical students estimated COVID-19 to be more serious and disastrous than non-medical students, while they scored lower than non-medical students on the Impact of Event Scale-Revised (IES-R), and less severe anxiety and depression than non-medical students. The students experienced greater impact from the outbreak and a higher rate of anxiety and depression with increased time focusing on the outbreak. The difference in psychological effects between medical and non-medical students was further enlarged when focusing time was prolonged. Conclusions The immediate psychological effects of COVID-19 on medical and non-medical students exhibit different characteristics. The outcome of this study provides implication that providing accurate and transparent information about the epidemic and appropriate COVID-19-based knowledge in accessible ways will contribute to the public's mental health during the outbreak.

[1] This paper is related to the use of ionospheric density variations to tentatively predict earthquakes. The results of this statistical analysis are presented as a function of various parameters. The ion density was recorded by the low-altitude satellite DEMETER during more than 6 years, and a search for anomalies was automatically conducted with the complete data set. In a second time, a software checked if each anomaly could correspond to an earthquake. The search was conducted at less than 1500 km from the anomaly positions, and until 15 days after the anomaly time. The earthquakes have been classified depending on their magnitude, depth, and position (below the sea or inland). This attempt to predict earthquakes of course generates a lot of false alarms and wrong detections. Nevertheless, it is shown that the number of good detections increases with the magnitude of the earthquakes. In average the number of perturbations is higher the day of the earthquake, and then smoothly decreases for the days before. Earthquakes below the sea are better detected. There are seismic areas close to the South Atlantic Magnetic Anomaly and at high latitudes where the number of natural perturbations is too important to expect a high number of good detections. Finally, when there are several perturbations corresponding to a single earthquake, it is possible to combine their positions to have a better estimation of the location of the future epicenter. However, uncertainties about the time and the magnitude are large.Citation: Li, M., and M. Parrot (2013), Statistical analysis of an ionospheric parameter as a base for earthquake prediction,