Explain how each could bias either incidence

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Reference no: EM133999064

Case Study: "The Greenwood Asthma Spike-Understanding Measures of Disease and Epidemiologic Methods"

Improved EHR documentation implemented at both hospitals
Two urgent care centers closed, shifting non-urgent cases to EDs
School nurse reports indicate rising inhaler use among middle school students
Student Tasks (4-5 pages)

1. Calculate Key Measures of Disease (Ch. 6)

Using the provided data:

Calculate incidence of asthma in Greenwood County.
Calculate prevalence of asthma.
Explain the difference in interpretation of incidence vs. prevalence in this scenario.
Determine whether ED visit counts reflect disease burden accurately. No AI shortcuts — Get genuine assignment help from experienced, real tutors.

2. Evaluate Potential Biases and Errors (Ch. 7)

Discuss how the following may influence observed trends:

Improved EHR documentation
Closure of urgent care centers
Repeat visits inflating counts
Potential misclassification
Explain how each could bias either incidence or prevalence.

3. Interpret Environmental and Demographic Clues

Analyze whether environmental patterns (AQI, mold exposure, industrial activity) could represent:

A true increase in incidence
A non-causal correlation
A confounder
An effect modifier
4. Develop an Analytic Epidemiology Plan

Propose a study design (cohort, case-control, cross-sectional) to test the hypothesis that air quality changes are contributing to the increase in asthma cases.
Explain:

Why you chose that study design
What data you would collect
How you would measure exposure
How you would reduce confounding
5. Identify the Next Steps for Public Health Action

Recommend three immediate actions the county health department should take based on your findings and interpretation.

Reference no: EM133999064

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