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Medicine (Baltimore) ; 101(27): e29733, 2022 Jul 08.
Article in English | MEDLINE | ID: covidwho-1927461


This study aimed to assess the risk of coronavirus disease 2019 in the border areas of southwest China, so as to provide guidance to targeted prevention and control measures in the border areas of different risk levels. We assessed the dependence of the risk of an outbreak in the southwest China from imported cases on key parameters such as the cumulative number of infectious diseases in the border area of southwest China in the past 3 years; the connectivity of the neighboring countries with China's Southwest border, including baseline travel numbers, travel frequencies, the effect of travel restrictions, and the length of borders with neighboring countries; the cumulative number of close contacts of coronavirus disease 2019 patients; (iv) the population density in border areas; the efficacy of control measures in border areas; experts estimated risks in border areas based on experience and then given a score; Spearman correlation and Logistic regression models were used to analyze the associated factors of novel coronavirus. According to the correlation of various factors, we assigned values to each parameter, calculated the risk score of each county, and then divided each county into high, medium, and low risk according to the sick score and took different control measure according to different risk levels. Finally, the total risk level was evaluated according to the Harvard disease risk index model. The number of infectious diseases in the past 3 years, travel numbers, travel frequencies, experts estimated risk score, effect of travel restrictions, and the number of close contacts were associated with the incidence of new coronary pneumonia. It is concluded that bilateral transportation convenience is a risk factor for new coronary pneumonia, (odds ratio = 9.23, 95% confidence interval, 1.99-42.73); the number of observers is a risk factor for new coronary pneumonia (odds ratio = 1.04, 95% confidence interval, 1.00-1.08). We found that in countries with travel numbers, travel frequencies, and experts' estimated risk scores were the influencing factors of novel coronavirus. The effect of travel restrictions and the cumulative number of close contacts of the case are risk factors for novel coronavirus.

COVID-19 , COVID-19/epidemiology , China/epidemiology , Disease Outbreaks/prevention & control , Humans , Risk Assessment , SARS-CoV-2 , Travel
Games Health J ; 10(2): 139-144, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1060094


Objective: The sudden disruption of university teaching caused by the coronavirus disease 2019 (COVID-19) pandemic has forced universities to switch to online teaching. It is vital for graduating medical students to learn about COVID-19 because they are likely to treat COVID-19 patients after graduation. We developed a COVID-19 lesson for medical students that used either an online lecture or a serious game that we designed. The aim of this study is to explore the effectiveness of a serious game versus online lectures for improving medical students' COVID-19 knowledge. Materials and Methods: From our university's database of knowledge scores, we collected the prelesson, postlesson, and final test knowledge scores of the students who participated in the lesson and conducted a retrospective comparative analysis. Results: An analysis of scores concerning knowledge of COVID-19 from prelesson and postlesson tests shows that both teaching methods produce significant increases in short-term knowledge, with no statistical difference between the two methods (P > 0.05). The final test scores, however, show that the group of students who used the game-based computer application scored significantly higher in knowledge retention than did the online lecture group (P = 0.001). Conclusion: In the context of the disruption of traditional university teaching caused by the COVID-19 pandemic, the serious game we designed is potentially an effective option for online medical education about COVID-19, particularly in terms of its capacity for improved knowledge retention.

Clinical Competence/standards , Games, Recreational/psychology , Students, Medical/psychology , Teaching/standards , Analysis of Variance , COVID-19/diagnosis , COVID-19/physiopathology , COVID-19/therapy , Clinical Competence/statistics & numerical data , Education, Distance/methods , Education, Medical, Undergraduate/methods , Education, Medical, Undergraduate/standards , Education, Medical, Undergraduate/statistics & numerical data , Female , Humans , Knowledge , Male , Retrospective Studies , Students, Medical/statistics & numerical data , Teaching/psychology , Teaching/statistics & numerical data , Young Adult