A CROSS-SECTIONAL STUDY TO KNOW THE EFFECT OF COVID-19 ON UNDERGRADUATE MEDICAL STUDENT'S HEALTH AND STUDY DURING COVID-19 PANDEMIC”, INDORE DISTRICT, MADHYA PRADESH
Bibliographic record
Abstract
Introduction-The end of the year 2019 and beginning of 2020 marked the emergence of novel coronavirus in Wuhan city in China that wreaked havoc globally. Stress, anxiety, depression, were higher among the patients of Covid-19. Objective: study to assess To investigate the impact of COVID-19 on the physical, mental, and social health of undergraduate medical students during the pandemic.one of the Districts of MP. Total 259 under graduate medical students were selected by Systematic random sampling method. An online survey was conducted using an online survey questionnaire to collect the information.They were administered pre-design questionnaire and correlated with use of media for assessment of the effect of COVID-19 on undergraduate medical student's health and study by using SPSS 25.Result-Anxiety, Stress & Depression sleep cycle disturbance loss of concentration and weight gain and loss of routine exercise was experienced more by under graduate medical students during covid-19 pandemic.ConclusionFindings of our study indicate that The COVID-19 pandemic has provided a unique opportunity to transform the existing medical education scenario by adapting to newer modes of learning like telehealth and online learning.This approach allows for a more flexible and affordable way of learning, making education more accessible to students from all backgrounds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".