Objective To know about the post-traumatic stress disorders (PTSD) of women with termination of pregnancy for fetal anomalies (TOPFA),and investigate the relationship of PTSD and the big five personality traits.Methods The general questionnaire,the Impact of Event Scale-Revised (IES-R) and the Big Five Questionnaire were administered to the women with TOPFA in hospital from February 2014 to February 2015.Results The total score of IES-R of 84 cases was 26.20 ± 16.38.The scores of 49 cases(58.3％) were more than 19 and that of 20 cases (23.8％) more than 35.Women who had the first pregnancy had higher level of arousal symptoms,12.84±7.41 vs.9.65±5.53 (t =2.25,P ＜ 0.05).Women whose scores were above 19 had lower adaptation,sociality,altruism and conscience compared with those scored ≤ 19,14.96±3.29,16.84±3.00,18.55±3.49,17.57±2.99 vs.13.57±2.82,18.31±2.65,20.03±2.32,18.86±2.21,t=2.02-2.33,P ＜ 0.05.The IES-R score had no linear correlation with that of the big five personalities,and intrusion subscale had linear correlation with the adaptation.Avoidance symptoms had low positive relationship with sociality in women whose IES-R were above 19,r =0.23,P ＜ 0.05.In populations whose IES-R scored above 19,avoidance subscale had positive weak correlation with sociality,r=0.31,P ＜0.05.Conclusions The women with TOPFA had high level of PTSD before termination.Women with sever posttraumatic stress symptoms had lower sociality and altruism.Moreover,of the women who had sever posttraumatic stress symptoms,one with higher sociality always had higher avoidance symptoms.

Objective To discuss the health education effect of a self-made health education video for patients with hepatic carcinoma who are receiving transcatheter arterial chemoembolization (TACE)therapy.Methods Based on the needs of patients,a TACE health education video was designed and produced,which was input into the tablet personal computer,such as iPad,to let patients watch.A total of 451 patients with liver cancer,who were admitted to the Department of Intervention,First Affiliated Hospital of Henan University of Technology and Science,China,to receive TACE during the period from June 2014 to June 2016,were included in this study.By using the random number table method,the patients were divided into the observation group (n=226) and the control group (n=225).The self-made health education video together with regular education was used to educate the patients of the observation group,while routine oral and written education was executed for the patients of the control group.The cognition to TACE-related knowledge,the compliance with postoperative treatment and nursing,and the patient's satisfaction were assessed and the results were compared between the two groups.Results The cognition in the following three aspects,including TACE-related knowledge,perioperative education and discharge education,in the patients of the observation group was significantly higher than that in the patients of the control group (P＜0.05).The compliance with postoperative treatment and nursing in the patients of the observation group was remarkably higher than that in the patients of the control group (P＜0.01).The patient's satisfaction in the patients of the observation group was strikingly higher than that in the patients of the control group (P＜0.01).Conclusion Health education by using a self-made health education video can improve liver cancer patient's cognition to TACE as well as the patient's compliance with postoperative treatment and nursing.The health education in the form of watching video can significantly improve health education effect and the satisfaction of the patients.Thus,it is worthy of clinical application.

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly，estimate the daily new infection rate in Wuhan before January 23，2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days，assuming that the daily new infection in Wuhan after January 23 increased in a high，moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that，calculate the number of infection cases imported from Wuhan during this period. Finally，predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%，0.026%，0.029%，0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23，2020. If Wuhan lockdown measure had been delayed for 7 days，the daily new infection rate on January 30 would have been 0.335% in the exponential growth model，0.129% in the linear growth model，and 0.070% in the logarithm growth model. Correspondingly，there would have been 32 075，24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China，and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.
COVID-19 ; China/epidemiology* ; Cities ; Communicable Disease Control ; Humans ; SARS-CoV-2

:To evaluate the impact of socioeconomic status，population mobility，prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19，2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects，that is, socioeconomic status，population mobility，and control measures for the pandemic. : According to the analysis on the 51 cities，4 development patterns of COVID-19 were obtained，including a high-incidence pattern (in Xinyu)，a late high-incidence pattern (in Ganzi)，a moderate incidence pattern (in Wenzhou and other 12 cities)，and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China，possibly affected by socioeconomic status，population mobility and prevention and control measures that were taken. Therefore，a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.
COVID-19 ; China/epidemiology* ; Cities ; Humans ; SARS-CoV-2 ; Social Class

:To predict the epidemiological trend of coronavirus disease 2019 (COVID-19) by mathematical modeling based on the population mobility and the epidemic prevention and control measures. : As of February 8，2020，the information of 151 confirmed cases in Yueqing，Zhejiang province were obtained，including patients' infection process，population mobility between Yueqing and Wuhan，etc. To simulate and predict the development trend of COVID-19 in Yueqing, the study established two-stage mathematical models，integrating the population mobility data with the date of symptom appearance of confirmed cases and the transmission dynamics of imported and local cases. : It was found that in the early stage of the pandemic，the number of daily imported cases from Wuhan (using the date of symptom appearance) was positively associated with the number of population travelling from Wuhan to Yueqing on the same day and 6 and 9 days before that. The study predicted that the final outbreak size in Yueqing would be 170 according to the number of imported cases estimated by consulting the population number travelling from Wuhan to Yueqing and the susceptible-exposed-infectious-recovered (SEIR) model; while the number would be 165 if using the reported daily number of imported cases. These estimates were close to the 170，the actual monitoring number of cases in Yueqing as of April 27，2020. : The two-stage modeling approach used in this study can accurately predict COVID-19 epidemiological trend.
COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; Models, Theoretical ; Pandemics ; SARS-CoV-2