In this essay, you will only be writing the results and discussion sections make sure to read the requirements and instructions thoroughly and follow the rubric. make sure to read the attachments provided. the information used is coming from the excel sheet and attachments.
Results: This section should include, in this order:
• In writing: for each disease, explain the relationship you found between your independent variable (vaccination rate) and your dependent variable (what you recorded in your investigation) (reporting trends)
• In writing: for each disease, state the minimum vaccination rate required to prevent the spread of that disease. Then compare this value between the three diseases. (reporting trends)
• Provide at least one graph or table that shows the relationships you found between your independent variable (vaccination rate) and your dependent variable (what you recorded in your investigation). There should be either a graph/table for each disease or a combined graph/table (appropriate graph/table)
• Each graph or table should be labeled with a figure or table number (ex: Figure 1 or Table 1) and include a descriptive caption that explains what data is being shown in the graph. (figure logistics)
Discussion: This section should include, in this order:
• Summarize your findings about the minimum vaccination rate for COVID-19 and how that compares to the other diseases. State whether this supports your hypothesis or not. (results summary and link to hypothesis)
• Explain why COIVD-19 required a different vaccination rate than measles. What are relevant differences between these diseases (types of virus, type of spread, infection rate, etc.)? Then explain why COIVD-19 required a different vaccination rate than seasonal flu. What are relevant differences between these diseases (types of virus, type of spread, infection rate, etc.)? (results interpretation)
• Based on your data, what do your results suggest about how we can best prevent future outbreaks of COVID-19? What strategies should public health officials take to achieve the minimum vaccination rate you have measured in your investigation? (relation to “Big Idea”)
• What assumptions did you make in your SIR simulation model (think of other variables in the model besides vaccination rate)? Which of these variables do you think we need more information about before making more informed decisions about vaccinating for COVID-19? What kind of further studies would give us this information? (future studies)
Writing/grammar: All sections should have headings and consist of separate paragraphs. Make sure your methods and results are in past tense. Also, make sure you cite any info that is not your own ideas.
Results: This section should include, in this order:
• In writing: for each disease, explain the relationship you found between your independent variable (vaccination rate) and your dependent variable (what you recorded in your investigation) (reporting trends)
• In writing: for each disease, state the minimum vaccination rate required to prevent the spread of that disease. Then compare this value between the three diseases. (reporting trends)
• Provide at least one graph or table that shows the relationships you found between your independent variable (vaccination rate) and your dependent variable (what you recorded in your investigation). There should be either a graph/table for each disease or a combined graph/table (appropriate graph/table)
• Each graph or table should be labeled with a figure or table number (ex: Figure 1 or Table 1) and include a descriptive caption that explains what data is being shown in the graph. (figure logistics)
Discussion: This section should include, in this order:
• Summarize your findings about the minimum vaccination rate for COVID-19 and how that compares to the other diseases. State whether this supports your hypothesis or not. (results summary and link to hypothesis)
• Explain why COIVD-19 required a different vaccination rate than measles. What are relevant differences between these diseases (types of virus, type of spread, infection rate, etc.)? Then explain why COIVD-19 required a different vaccination rate than seasonal flu. What are relevant differences between these diseases (types of virus, type of spread, infection rate, etc.)? (results interpretation)
• Based on your data, what do your results suggest about how we can best prevent future outbreaks of COVID-19? What strategies should public health officials take to achieve the minimum vaccination rate you have measured in your investigation? (relation to “Big Idea”)
• What assumptions did you make in your SIR simulation model (think of other variables in the model besides vaccination rate)? Which of these variables do you think we need more information about before making more informed decisions about vaccinating for COVID-19? What kind of further studies would give us this information? (future studies)
Writing/grammar: All sections should have headings and consist of separate paragraphs. Make sure your methods and results are in past tense. Also, make sure you cite any info that is not your own ideas.