Dengue virus and severe acute respiratory syndrome coronavirus 2 coexist in dengueendemic countries; therefore, the adoption of preventive measures is essential to control the spread of both viruses. We conducted an ecological study to compare the temporal patterns of the incidence of dengue before and during the Coronavirus disease 2019 (COVID-19) pandemic in Peru. A time-series analysis comparing the incidence of dengue using a Student's t test with variance correction was performed. Poisson

Background: During the COVID-19 pandemic, medical education migrated to digital environments, without clear guidelines for virtual courses or evaluations of how these courses have been developed. Objective: To adapt and validate a scale to evaluate the quality of virtual courses developed for human medicine students in Peru. Methods: Cross-sectional study that adapted a scale to assess the quality of virtual courses to the context of Peruvian medical students during the COVID-19 pandemic, using the Delphi methodology and pilot tests for a rigorous evaluation of the items, resulting in a scale of 30 items that were described with summary statistics. In addition to the exploratory factor analysis (EFA) with Oblimin rotation, together with the adequacy and sample fit with Bartlett test and Kaiser-Meyer-Olkin (KMO), while the internal consistency was estimated with the alpha coefficient. Results: A total of 297 medical students in Peru were surveyed. The descriptive statistics for the items showed a normal distribution, while the Bartlett test showed no inadequacy (X2=6134.34, p<0.01) and with the KMO test an overall value greater than 0.92 was found, therefore an AFE was performed where five factors were identified (General Quality and Didactic Methodology, Design and Navigation of the Virtual Platform, Multimedia Resources, Academic Materials) with 30 items. In the internal consistency, an alpha coefficient greater than 0.85 was estimated for the factors evaluated. Conclusions: The adapted scale of 30 items grouped into five factors or domains, show adequate evidence of validity and reliability to be used in the evaluation of the quality of virtual courses developed for Peruvian human medicine students during the context of the COVID-19 pandemic. Keywords: Education, Medical; Education, Distance; Validation; Surveys and Questionnaires; COVID-19.