"Flipped" clinical rotations: A novel approach.

BACKGROUND: Near the beginning of the COVID-19 pandemic in the United States, medical students were pulled out of all in-person patient care activities. This resulted in massive disruption to the required clinical rotations (clerkships), necessitating creative curricular solutions to ensure continued education for medical students. APPROACH: In response to the lockout, our school adopted a "flipped" clinical rotations model that assigned students to remote learning activities prior to in-person patient care activities. This approach allowed students to continue their clinical education virtually with a focus on knowledge for practice while awaiting return to the shortened in-person portions of their rotation. In planning the modified clinical curriculum, educational leaders adhered to several guiding principles including ensuring flexible remote curricular components that would engage students in active learning, designating that no rotation would be completely virtual, and completing virtual educational activities and standardised exams before students returned to in-person experiences. EVALUATION: End of rotation evaluations and standardised exam scores were analysed to determine the effectiveness of this model. Despite the disruption associated with the pandemic and the rapid implementation of the "flipped" rotations, students continued to rate the overall experiences as highly as traditional clinical rotations. Students also performed similarly on standardised exams when compared to cohorts from other classes at the same experience level. IMPLICATIONS: While borne out of necessity during a pandemic, the lessons learned from our implementation of a "flipped" rotations model can be applied to address problems of capacity and clinical preparedness in the clinical setting.

Social Media as an Early Proxy for Social Distancing Indicated by the COVID-19 Reproduction Number: Observational Study.

BACKGROUND: The magnitude and time course of the COVID-19 epidemic in the United States depends on early interventions to reduce the basic reproductive number to below 1. It is imperative, then, to develop methods to actively assess where quarantine measures such as social distancing may be deficient and suppress those potential resurgence nodes as early as possible. OBJECTIVE: We ask if social media is an early indicator of public social distancing measures in the United States by investigating its correlation with the time-varying reproduction number (Rt) as compared to social mobility estimates reported from Google and Apple Maps. METHODS: In this observational study, the estimated Rt was obtained for the period between March 5 and April 5, 2020, using the EpiEstim package. Social media activity was assessed using queries of "social distancing" or "#socialdistancing" on Google Trends, Instagram, and Twitter, with social mobility assessed using Apple and Google Maps data. Cross-correlations were performed between Rt and social media activity or mobility for the United States. We used Pearson correlations and the coefficient of determination (ρ) with significance set to P<.05. RESULTS: Negative correlations were found between Google search interest for "social distancing" and Rt in the United States (P<.001), and between search interest and state-specific Rt for 9 states with the highest COVID-19 cases (P<.001); most states experienced a delay varying between 3-8 days before reaching significance. A negative correlation was seen at a 4-day delay from the start of the Instagram hashtag "#socialdistancing" and at 6 days for Twitter (P<.001). Significant correlations between Rt and social media manifest earlier in time compared to social mobility measures from Google and Apple Maps, with peaks at -6 and -4 days. Meanwhile, changes in social mobility correlated best with Rt at -2 days and +1 day for workplace and grocery/pharmacy, respectively. CONCLUSIONS: Our study demonstrates the potential use of Google Trends, Instagram, and Twitter as epidemiological tools in the assessment of social distancing measures in the United States during the early course of the COVID-19 pandemic. Their correlation and earlier rise and peak in correlative strength with Rt when compared to social mobility may provide proactive insight into whether social distancing efforts are sufficiently enacted. Whether this proves valuable in the creation of more accurate assessments of the early epidemic course is uncertain due to limitations. These limitations include the use of a biased sample that is internet literate with internet access, which may covary with socioeconomic status, education, geography, and age, and the use of subtotal social media mentions of social distancing. Future studies should focus on investigating how social media reactions change during the course of the epidemic, as well as the conversion of social media behavior to actual physical behavior.