Preparing for Influenza Season

Microscopic image of virus

Overview

Motivation

The United States has an influenza season where more people than usual suffer from the flu. Some people, particularly those in vulnerable populations, develop serious complications and end up in the hospital. Hospitals and clinics need additional staff to adequately treat these extra patients. The medical staffing agency provides this temporary staff.  

Objective

Determine when to send staff, and how many, to each state.

Scope

The agency covers all hospitals in each of the 50 states of the United States, and the project will plan for the upcoming influenza season.

Tools, Skills, Techniques

  • Excel
  • Tableau
  • Translating Business Requirements
  • Data Cleaning, Integration, Transformation
  • Statistical Hypothesis Testing
  • Forecasting
  • Data Visualization & Storytelling

Challenges

This project was broken down into two phases, the first is designing the research project and conducting the analysis through Excel. The second was conducting an analysis in Tableau and using Tableau to present the data story. It was my first-time learning Tableau, so it was a bit of a learning curve for me. As I progressed through the project, there were times when I wanted to go back and start over. Towards the end of the project, I wanted to utilize additional datasets, but was unable to due to time constraints.

Motivation

The United States has an influenza season where more people than usual suffer from the flu. Some people, particularly those in vulnerable populations, develop serious complications and end up in the hospital. Hospitals and clinics need additional staff to adequately treat these extra patients. The medical staffing agency provides this temporary staff.  

Objective

Determine when to send staff, and how many, to each state.

Scope

The agency covers all hospitals in each of the 50 states of the United States, and the project will plan for the upcoming influenza season.

Tools, Skills, Techniques

  • Excel
  • Tableau
  • Translating Business Requirements
  • Data Cleaning, Integration, Transformation
  • Statistical Hypothesis Testing
  • Forecasting
  • Data Visualization & Storytelling

Challenges

This project was broken down into two phases, the first is designing the research project and conducting the analysis through Excel. The second was conducting an analysis in Tableau and using Tableau to present the data story. It was my first-time learning Tableau, so it was a bit of a learning curve for me. As I progressed through the project, there were times when I wanted to go back and start over. Towards the end of the project, I wanted to utilize additional datasets, but was unable to due to time constraints.

Define Key Questions & Goals

Data Collection

The datasets utilized for this project: 

Data Cleaning

I utilized two datasets for this project. I started by creating a data profile for each dataset. Then I investigated the data integrity by looking at the accuracy and consistency of the data. Then I conducted an initial round of data cleaning of each dataset.  Next, I conducted data quality measures, in which I located and removed any missing values and duplicate records. Lastly, I transformed both datasets in order to utilize VLOOKUP() to merge the dataset.

Data Analysis

Total influenza deaths by month/year grouped into regions
Percentage of deaths per year grouped into age groups
Relationship between influenza deaths of 65+ years and total influenza deaths
Distribution of influenza deaths and total population
No items found.

Interpret Results

Conclusion

  • Flu season typically occurs in the fall and winter. Flu activity peaks between December and February.
  • Those 65+ years account for 90% of influenza deaths.
  • Influenza deaths of those 65+ years have a strong correlation (.99) with the total influenza deaths, meaning that those 65+ years have a higher mortality rate.
  • The top 5 states with the highest population of 65+ years and total influenza deaths are California, Florida, New York, Texas, and Pennsylvania.

Recommendations

  • Staff should be distributed accordingly based on the population of those 65+ years.
  • Further analysis should be conducted on additional datasets and more recent data.

Other Projects

Let's work together!

I’m always looking for ways to solve problems or to exchange ideas. Feel free to send me a message. I aim to respond within one business day. Hope to hear from you!

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