Epidemiology Case 1 Part 2

Task 2 for this modular component

1. As part of a State Budget and Appropriations Subcommittee, you have been charged with reviewing health data of local health jurisdictions and establishing priorities for funding for the upcoming fiscal year.

Review the following information

	Eagle Rock County	San Marino County	Baldwin County
Population
<65 years	2,490,653	299,658	250,765
>65 years	372,166	99,885	2,857
Total Population	2,862,819	399,543	253,622
Number of Deaths
<65 years	4,955	900	1,854
>65 yrs	9,845	3,700	455
Total Deaths	14,800	4,600	2,309
Cause of Death
Coronary Heart Disease	6,200	1,800	790
Cancer	3,300	1,000	429
Homicide	3,100	800	450
Motor Vehicle Accident	2,200	1,000	640

Your task is to answer these questions:

Calculate and compare the crude and age-specific death rates for each of the three counties. Based on the crude death rate, which county appears to have the greatest need for funding? Does the age-specific death rate change your view regarding which county has a greater need for funding? Explain. Why is it possible to have a low crude rate and higher age-specific death rates?

Calculate and compare the cause-specific death rates (Use the information at  http://www.pitt.edu/~super1/lecture/lec0441  from your background readings). For this, combine data from all counties. Based on the data provided, what do you think are the main health priorities?

Length: 2 pages, APA format, peer-reviewed scholarly sources

Useful Resources:

Statistical Methods: Incidence and Death Rates. (2020, June 08). Retrieved from https://www.cdc.gov/cancer/uscs/technical_notes/stat_methods/rates.htm

Coggon, D., Rose, G., & Barker, D. J. P. (2007). Epidemiology for the uninitiated (4th edition). British Medical Journal. Retrieved May 22, 2012, from  http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated

Coggon, D., Rose, G., & Barker, D. J. P. (2007). Chapter 2: Quantifying disease in populations. In Epidemiology for the Uninitiated (4th edition). British Medical Journal. Retrieved on May 22, 2012, from:  http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated

Center for Disease Control and Prevention. (2014). Timeline for Reporting Cases of E. coli O157 Infection. Retrieved from  https://www.cdc.gov/ecoli/reporting-timeline.html

Center for Disease Control and Prevention. (2019) E.coli. Retrieved from  https://www.cdc.gov/ecoli/index.html

Center for Disease Control and Prevention. (2018). Introduction to Epidemiology: Public Health 101 Series. Retrieved from  https://www.cdc.gov/publichealth101/epidemiology.html#anchor_topics

Center for Disease Control and Prevention. (2017). Surveillance Case Definitions. Retrieved from  https://wwwn.cdc.gov/nndss/case-definitions.html

Libre Texts. (2019). 10.5A: Descriptive Epidemiology. Retrieved from  https://bio.libretexts.org/Bookshelves/Microbiology/Book%3A_Microbiology_(Boundless)/10%3A_Epidemiology/10.5%3A_Epidemiology_and_Public_Health/10.5A%3A_Descriptive_Epidemiology

Martin, E.T. (2019). Genetic detectives: how scientists use DNA to track disease outbreaks. Retrieved from  https://theconversation.com/genetic-detectives-how-scientists-use-dna-to-track-disease-outbreaks-57462

Silva, H. P., Padez, C., Moura, E. A. F., & Filgueiras, L. A. (2016). Obesity, hypertension, social determinants of health and the epidemiologic transition among traditional Amazonian populations. Annals of Human Biology, 43(4), 371-381.

Optional Reading

Center for Disease Control and Prevention. (2018). Shiga Toxin-producing Escherichia coli (STEC) 2018 Case Definition. Retrieved from  https://wwwn.cdc.gov/nndss/conditions/shiga-toxin-producing-escherichia-coli/case-definition/2018/