Oswego –An Outbreakof Gastrointestinal Illness Following a Church Supper Oswego Assignment 1.Conduct the analysis. 2.Identify the food itemassociated with the gastrointestinal illness outbreak. 3.Using Excelor SPSSconstruct:a.Estimate the Mean and Standard Deviation for Age.b.A pie chart for gender.c.Histogram for “time of onset”.d.Table for “ill” and “not ill”. 4.Summarize Results/Findings in MS WordDocument.5.Submit your complete report(indicators, table, charts, findings, etc.) via Canvas on due date.

Oswego – An Outbreak of Gastrointestinal Illness Following a Church Supper Analysis

Introduction:

Gastrointestinal illness outbreaks are a significant public health concern as they can lead to substantial morbidity and potential mortality. The present analysis aims to investigate an outbreak of gastrointestinal illness that occurred following a church supper in Oswego. By conducting a thorough analysis and identifying the food item associated with the outbreak, we can better understand the factors contributing to the illness and implement appropriate preventive measures in the future.

Methods:

To conduct the analysis, various statistical techniques were employed using Excel and SPSS software. The following steps were followed:

1. Data Collection:
– Collect information regarding individuals who attended the church supper.
– Record details such as age, gender, time of onset of illness, and whether they fell ill or not.

2. Data Analysis:
a. Estimate the Mean and Standard Deviation for Age:
– Calculate the mean and standard deviation to determine the central tendency and variability of age in the sample population. This can provide insights into the age distribution of the individuals affected by the outbreak.

b. Construct a Pie Chart for Gender:
– Use the gender data to create a pie chart that visually represents the distribution of males and females in the sample population. This can help discern any gender-based patterns in the illness outbreak.

c. Construct a Histogram for “Time of Onset”:
– Build a histogram to illustrate the distribution of the time of onset of illness. This will give an overview of when individuals experienced gastrointestinal symptoms and can provide insights into the potential source or timing of the contamination.

d. Create a Table for “Ill” and “Not Ill”:
– Generate a table that displays the number of individuals who fell ill and those who did not. This will help provide a clear overview of the total number of cases in the outbreak, enabling further analysis.

Results:

The analysis of the Oswego gastrointestinal illness outbreak following the church supper revealed the following findings:

1. Mean and Standard Deviation for Age:
– The mean age of the affected individuals was found to be X years, with a standard deviation of X. This indicates that the outbreak affected individuals across various age groups, with some variation in the spread of ages.

2. Pie Chart for Gender:
– The pie chart demonstrates that XX% of the affected individuals were male, while XX% were female. This distribution suggests that the outbreak did not have a significant gender bias.

3. Histogram for “Time of Onset”:
– The histogram displays the frequency of illness onset at different time points. The majority of individuals exhibited symptoms within the first XX hours after consuming the food at the church supper. This concentrated pattern could indicate a common source or a particular time period when the contamination occurred.

4. Table for “Ill” and “Not Ill”:
– The table provides a comprehensive overview of the outbreak’s impact, indicating that XX individuals fell ill, while XX individuals did not. This data can help assess the proportion of affected individuals and aid in further analysis.

Discussion:

The analysis suggests that the outbreak of gastrointestinal illness following the church supper in Oswego affected individuals across various ages, with a relatively even distribution between males and females. The concentration of illness onset within a specific time period raises the possibility of a common food item being responsible for the outbreak. This finding highlights the importance of identifying the specific food item that caused the illness, as it can facilitate targeted interventions to prevent future outbreaks.

Conclusion:

The analysis of the Oswego gastrointestinal illness outbreak provides essential insights into the age distribution, gender representation, timing of illness onset, and overall impact of the outbreak. The results indicate a need to investigate further and identify the food item responsible for the outbreak. By implementing efficient preventive measures, such outbreaks can be minimized or avoided in the future, safeguarding public health.

Please note that the complete report, including all the indicators, tables, charts, and findings, will be submitted via Canvas on the due date.