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START readme
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This file focuses more on the details of the data package. For 'administrative' metadata on this data,
please view the metadata file within the parent folder of this data package (where this readme file
is also found).
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## General
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+ Author(s): Wieke P. van der Vossen-Wijmengaa, Heidy M.W. den Besten, Marcel H. Zwietering
+ Project: Temperature status of domestic refrigerators and its effect on the risk of listeriosis from
ready-to-eat (RTE) cooked meat products
+ Contact: heidy.denbesten@wur.nl
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## Title
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Readme document for data underlying the publication "Temperature status of domestic refrigerators and its
effect on the risk of listeriosis from ready-to-eat (RTE) cooked meat products".
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## Methods
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# Introduction
Inadequate domestic refrigeration is frequently cited as a factor that contributes to foodborne poisoning
and infection, and consumer behaviour in this regard can vary largely. This study provides insight into
the temperature profiles of domestic refrigerators in the Netherlands and the impact on the number of
listeriosis cases related to ready-to-eat (RTE) cooked meat products. A QMRA (Quantitative Microbiological
Risk Assessment) was performed with emphasis on consumer handling and storage of RTE cooked meat products
before consumption. Monte Carlo simulations were performed to determine the distribution of the Probability
of illness using @Risk simulation software (@Risk 8.2 for Excel, Palisade, Ithaca, USA), as an add-in to
Microsoft Excel, with 1,000,000 iterations.
# Measurements and data collection
+ QMRA model
This file describes the QMRA model used. The first tab contains an introduction to the QMRA modeling approach.
The second tab describes the references to the studies and literature used in the exposure assessment.
The third tab includes the values of the parameters used. The fourth tab describes the deterministic
QMRA model, and the fifth tab describes the stochastic QMRA model. The last tab contains the references of
the literature that was used.
+ Outcome simul. 10K
This files gives an overview of the Monte Carlo simulations using @Risk simulation software, as an add-inn
to Microsoft excel, with 10,000 iterations. These results are shown in column G to Y.
In column A to C the number of illness cases are calculated with the arithmetic mean. The number of cases
per year was calculated by multiplying the average arithmetic risk per serving (Rserv, hr and Rserv, lr)
with the average number of servings per year per person (Nrserv) and with the number of persons in the
high-risk (Pophr) and low-risk population (Poplr), respectively. The number of cases for the total population
(Nrcases avg, tot) was calculated by summating the number of cases of the high-risk population (Nrcases avg, hr)
and the low-risk population (Nrcases avg, lr). The number of illness cases of the high-risk
population are shown in cell A2, the number of illness cases of the low-risk population are shown in cell
B2 and the total number of illness cases in cell C2.
Column D to F is empty because with 10,000 iterations the probabilistic trial gives not an accurate result.
Only with 1,000,000 iterations the probabilistic method can be used.
+ Outcome simul. 1M
This files gives an overview of the Monte Carlo simulations using @Risk simulation software, as an add-inn
to Microsoft excel, with 1,000,000 iterations. These results are shown in column G to Y.
In column A to C the number of illness cases are calculated with the arithmetic mean. The number of cases
per year was calculated by multiplying the average arithmetic risk per serving (Rserv, hr and Rserv, lr)
with the average number of servings per year per person (Nrserv) and with the number of persons in the
high-risk (Pophr) and low-risk population (Poplr), respectively. The number of cases for the total population
(Nrcases avg, tot) was calculated by summating the number of cases of the high-risk population (Nrcases avg, hr)
and the low-risk population (Nrcases avg, lr). The number of illness cases of the high-risk
population are shown in cell A2, the number of illness cases of the low-risk population are shown in cell
B2 and the total number of illness cases in cell C2.
In column D to F the numbe rof illness cases are calculated probabilitistic with Bernouilli trial using the
probability of illness distribution. A value of 1 indicated an illness case, whereas a value of 0 indicated no
illness case. The total number of cases was then calculated by summing up all cases of the 1,000,000 iterations
and multiplying this by the average prevalence, the average number of servings and the high-risk population
and low-risk population per 1,000,000, respectively.
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## FolderStructure
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There is only one parent directory present containing all files.
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## FolderContents
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- parent_folder/
[QMRA model]
- parent_folder/
[Outcome simul. 10K]
- parent_folder/
[Outcome simul. 1M]
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## Software
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SoftwareRequired:
@Risk simulation software (@Risk for Excel, Palisade, Ithaca, USA), as an add-in to Microsoft Excel
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## FileFormats
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+ .xls
+ .xls
+ .xls
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## CodeBook
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Please view the open access article 'Temperature status of domestic refrigerators and its effect on the risk
of listeriosis from ready-to-eat (RTE) cooked meat products' for information, meaning, and abbreviations.
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## Other
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Please note that the file 'Outcome simul. 1M' is large (around 400 MB)
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END readme
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