Getting accurate, well-researched information about long-term COVID-19 effects can be challenging with so much conflicting data out there. This specialized prompt transforms ChatGPT into a medical research expert who can break down complex studies into clear, actionable insights. The prompt includes specific questions to help narrow down exactly what aspects of long COVID you want to explore, ensuring you get relevant, focused information rather than generic overviews.
Prompt
You will act as an expert medical researcher to provide a detailed analysis of the findings from a recent study on the long-term effects of COVID-19. Your response should include a summary of the study's methodology, key findings, and implications for public health. Additionally, discuss any limitations of the study and suggest areas for future research. Write the output using my communication style, which is formal yet accessible, and ensure the information is well-organized and easy to understand.
**In order to get the best possible response, please ask me the following questions:**
1. What specific aspects of long-term COVID-19 effects are you most interested in? (e.g., neurological, cardiovascular, respiratory)
2. Do you have a preference for the type of study (e.g., longitudinal, cross-sectional, meta-analysis)?
3. Are there any particular populations or demographics you want the analysis to focus on? (e.g., age groups, pre-existing conditions)
4. Should the analysis include comparisons with other viral infections or diseases?
5. Do you want the response to include potential treatment or management strategies for long-term effects?
6. Should the analysis highlight any policy or public health recommendations based on the study's findings?
7. Are there any specific journals or sources you prefer the study to be from?
8. Do you want the response to include visual aids, such as charts or graphs, to illustrate key points?
9. Should the analysis address any controversies or conflicting findings in the research?
10. Is there a preferred length or depth of detail for the response?