Initials Ill Onset Date Cheese and crackers Shrimp Bar Drink Vegetables Cocktail Wieners Cake YT Y 1-Jul Y N Y Y Y N РО Y 1-Jul N N Y N N Y NH Y 1-Jul N N Y Y N Y KJ Y 1-Jul N N Y N Y N GF Y 1-Jul Y N Y Y N Y CV Y 1-Jul Y N Y Y Y N FG Y 2-Jul N N N N Y N EW Y 2-Jul N N Y N Y N CX Y 2-Jul N N N N N Y YU Y 30-Jun Y N Y Y Y N SD Y 30-Jun Y N Y Y N Y NH Y 30-Jun Y N Y Y Y N MJ Y 30-Jun Y N Y Y N Y HT Y 30-Jun Y Y Y Y Y N GF Y 30-Jun Y Y Y Y N Y DF Y 30-Jun Y N Y Y N Y AY Y 30-Jun Y Y Y Y N Y AW Y 30-Jun Y Y Y Y N Y AU Y 30-Jun Y Y Y Y Y N AT Y 30-Jun Y Y Y Y Y N AR Y 30-Jun Y Y Y Y N Y AQ Y 30-Jun Y Y Y Y Y N 222222992220 € 668 # 89 AO Y 30-Jun Y Y Y Y Y N ΑΙ Y 30-Jun Y Y Y Y N Y AE Y 30-Jun Y Y Y Y Y N YU N N/A Y N N Y Y N SW N N/A Y N N Y Y N RT N N/A N N N Y N Y LO N N/A Y N Y Y N Y LO N N/A N N Y N Y N KJ N N/A Y N N Y Y N KI N N/A Y N N Y Y N JU N N/A Y N N Y N Y ΙΟ N N/A Y Y N Y N Y HY N N/A Y N N Y Y N GT N N/A N Y N Y N Y GT N N/A N N Y N N Y GB N N/A Y N Y N N Y FR N N/A Y N N Y Y EE N N/A Y Y N Y N DC N N/A Y N Y N Y AQ N N/A N Y N Y N ZYNY Ν Ν Norovirus Outbreak Findings by Food Item Ate the Food Item Did Not Eat the Food Item Food Item No. Ill No. of People Cheese and crackers 19 31 Attack Rate 19/31 = No. Ill No. of Attack Relative Risk People Rate 5 11 6/11= 61.29/54.54 1.12 61.29% 54.54% Shrimp 11 15 11/15= 14 27 14/27= 73.33/51.85 = 1.41 73.33% 51.85% Bar Drink 23 28 23/28 = 2 14 2/14= 82.14/14.28 = 5.75 82.14% 14.28% Vegetables 20 33 20/33 = 5 9 5/9= 60.60/55.55 = 1.09 60.60% 55.55% Cocktail 13 21 13/21= 12 21 12/21= 61.90/57.14 = 1.08 Winer 61.90% 57.14% Cake 12 21 12/21= 13 21 13/21= 57.14/61.90/= .92 57.14% 61.90%
Outbreak:
July 5th 10AM: The Patriot County Health Department receives a call from a local resident who went a
wedding the previous weekend. He states that “according to Facebook, everyone is sick who attended the
wedding.”
July 5th 11AM: PCHD begins their investigation. They interview the complainant and get the contact
information for the bride and groom. PCHD then leaves a message for the bride and groom to get more
information about the wedding.
July 5th 1:00PM: The bride and groom return the call. They confirm that they heard about numerous
individuals who were sick with vomiting and diarrhea after their wedding. They don’t know the exact
number but confirm that the wedding had 75 guests and a small reception was held on a boat on June 29,
2016 after the wedding. The only food served during the wedding was a few appetizers catered by the boat
company. The boat also had an open bar for the two-hour reception. The bride and groom give the Health
Department permission to send a survey to all of the guests asking first about food history and then about
symptoms from the guest list they provided. Environmental Health (EH) is sent out to inspect the boat food
handling processes and receive a menu of the food served.
July 5th 4PM: EH completes their inspection and sends the menu to the epidemiologist. EH notes that
although no food service workers reported illness before or during the event, the bartender had been sick
with vomiting and diarrhea the morning before he worked. In addition, all food was handled properly, with
the shrimp being kept cool on ice. The epidemiologist at the Health Department completes the survey that
asks first about food items consumed and then collects each respondent’s medical history.
July 6th 9AM: The survey is emailed to all the guests of the wedding.
July 8th 11AM: The survey is closed by the epidemiologist. There are 42 responses to the survey (see line
listing). The survey results also notes that three individuals are willing to submit stool specimens to be
tested. The Health Department collects the specimens and sends to the state lab for testing.
July 9th 4PM: All three specimens are confirmed norovirus by the state lab by PCR testing.
June 11th: The Epi Team analyzes the data and writes the report, providing recommendations to relevant
groups.
Question: I tried to make a 2x2 table and I attached the one I made to the question. However, I dont think I did any of it right. I think I need to make a table that gives the number of people that ate the food and got sick and the number that ate the food and didnt get sick to then get the relative risk but I am unsure how to set it up in a 2x2 table showing all the foods.
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