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%

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Question

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. 

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
Transcribed Image Text: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%
Transcribed Image Text: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%
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