MHA 507- Report One-Cases By City
Data has been collected to identify specific cases of people who are infected with a dangerous virus. Your organization has an interest in knowing where the population is most affected in an effort to move resources to areas that need them.
Create a bar chart using Microsoft Excel® and the data provided in the Cases by City document to identify the cities with the highest counts of cases.
Write a 350- to 525-word report of your analysis of the data. Include an answer to the following questions:
- What are the top five cities for infected cases?
- How many infected cases does each of those cities have?
- What is the prevalence rate per 100,000 people?
- What else can be deduced after evaluating the chart?
Include your bar chart in the report.
Format your citations according to APA guidelines (3 References needed)
.doc file
If you have any questions, please let me know.
Assignment requires the excel data (provided, bar chart, and assignment. Please do not lock the bar chart in case I need to change the format.
If assignment is acceptable, I will use you for the next two assignments as it will utilize the same chart/data. This upcoming assignment (due next Monday 12/14) will require a different chart with same data.
I can send you some references that are related to this week’s assignment if you want to use those.
Health Informatics for Neonatal Intensive Care Units: An Analytical Modeling Perspective (nih.gov)
Visual data analytics make genomics in healthcare possible (techtarget.com)
Sheet1
| City | Date | Cases |
| New York | 4/24/17 | 189 |
| Los Angeles | 4/2/17 | 201 |
| Chicago | 4/27/17 | 14 |
| Houston | 4/27/17 | 272 |
| Philadelphia | 4/24/17 | 5 |
| Phoenix | 4/2/17 | 289 |
| San Antonio | 4/7/17 | 95 |
| San Diego | 4/2/17 | 258 |
| Dallas | 4/24/17 | 83 |
| San Jose | 4/23/17 | 109 |
| Austin | 4/17/17 | 281 |
| Jacksonville | 4/14/17 | 322 |
| San Francisco | 4/9/17 | 76 |
| Indianapolis | 4/11/17 | 7 |
| Columbus | 4/9/17 | 14 |
| Fort Worth | 4/29/17 | 98 |
| Charlotte | 4/10/17 | 19 |
| Seattle | 4/12/17 | 65 |
| Denver | 4/2/17 | 30 |
| El Paso | 4/28/17 | 29 |
| Detroit | 4/28/17 | 35 |
| Washington D.C. | 4/3/17 | 61 |
| Boston | 4/13/17 | 28 |
| Memphis | 4/25/17 | 31 |
| Nashville | 4/24/17 | 23 |
| Portland | 4/2/17 | 18 |
| Oklahoma City | 4/27/17 | 11 |
| Las Vegas | 4/27/17 | 146 |
| Baltimore | 4/24/17 | 26 |
| Louisville | 4/2/17 | 17 |
| Milwaukee | 4/7/17 | 12 |
| Albuquerque | 4/2/17 | 51 |
| Tucson | 4/24/17 | 114 |
| Fresno | 4/23/17 | 187 |
| Sacramento | 4/17/17 | 51 |
| Kansas City | 4/14/17 | 38 |
| Long Beach | 4/9/17 | 215 |
| Mesa | 4/11/17 | 231 |
| Atlanta | 4/9/17 | 220 |
| Colorado Springs | 4/29/17 | 5 |
| Virginia Beach | 4/10/17 | 4 |
| Raleigh | 4/12/17 | 8 |
| Omaha | 4/2/17 | 3 |
| Miami | 4/28/17 | 299 |
| Oakland | 4/28/17 | 84 |
| Minneapolis | 4/3/17 | 9 |
| Tulsa | 4/13/17 | 127 |
| Wichita | 4/25/17 | 83 |
| New Orleans | 4/10/17 | 248 |
| Arlington | 4/12/17 | 11 |
Sheet2
Sheet3
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