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Determining the Effects of Social Media Monitoring to Identify Potential Foodborne Illness in Southern Nevada.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Determining the Effects of Social Media Monitoring to Identify Potential Foodborne Illness in Southern Nevada./
Author:	DiPrete, Lauren Kristin.
Description:	1 online resource (45 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
Subject:	Public health. -
Online resource:	click for full text (PQDT)
ISBN:	9780355312706

Determining the Effects of Social Media Monitoring to Identify Potential Foodborne Illness in Southern Nevada.
DiPrete, Lauren Kristin.

Determining the Effects of Social Media Monitoring to Identify Potential Foodborne Illness in Southern Nevada. - 1 online resource (45 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.P.H.)

Includes bibliographical references

Foodborne illness, commonly referred to as food poisoning, affects an estimated 1 in 6 Americans every year, despite the fact that it is entirely preventable. Many cases of foodborne illness go unreported; however, better reporting leads to faster health department response and containment. Social media monitoring, using software to identify trends in social media posts, is a novel new tool that has been tested in a variety of public health fields with promising preliminary results. The Southern Nevada Health District (SNHD) has employed social media monitoring software to identify potential foodborne illness within Southern Nevada. The purpose of this study was to determine the extent to which this tactic was effective in identifying high risk facilities that could be the source of disease, and then characterizing those high risk facilities based on the Food and Drug Administration's (FDA) five foodborne illness risk factors. This study revealed that restaurants flagged by the software performed worse on routine inspections than matched controls, both before and after adjusting the scores to account for every observation of risky food handling. Secondly, the data showed that in all inspections, contamination was the most frequently observed foodborne illness risk factor out of compliance. These findings show that social media monitoring can be a useful tool to guide inspectors to restaurants that may have an active lapse in food safety. Additionally, the fact that contamination was most frequently observed in both groups of restaurants shows that there is a need to educate food handlers and managers on effective contamination prevention techniques.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355312706Subjects--Topical Terms:

560998
Public health.
Index Terms--Genre/Form:

554714
Electronic books.

Determining the Effects of Social Media Monitoring to Identify Potential Foodborne Illness in Southern Nevada.
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245 1 0 $a Determining the Effects of Social Media Monitoring to Identify Potential Foodborne Illness in Southern Nevada.
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300 $a 1 online resource (45 pages)
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500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Advisers: Brian Labus; Mark Buttner.
502 $a Thesis (M.P.H.) $c University of Nevada, Las Vegas $d 2017.
504 $a Includes bibliographical references
520 $a Foodborne illness, commonly referred to as food poisoning, affects an estimated 1 in 6 Americans every year, despite the fact that it is entirely preventable. Many cases of foodborne illness go unreported; however, better reporting leads to faster health department response and containment. Social media monitoring, using software to identify trends in social media posts, is a novel new tool that has been tested in a variety of public health fields with promising preliminary results. The Southern Nevada Health District (SNHD) has employed social media monitoring software to identify potential foodborne illness within Southern Nevada. The purpose of this study was to determine the extent to which this tactic was effective in identifying high risk facilities that could be the source of disease, and then characterizing those high risk facilities based on the Food and Drug Administration's (FDA) five foodborne illness risk factors. This study revealed that restaurants flagged by the software performed worse on routine inspections than matched controls, both before and after adjusting the scores to account for every observation of risky food handling. Secondly, the data showed that in all inspections, contamination was the most frequently observed foodborne illness risk factor out of compliance. These findings show that social media monitoring can be a useful tool to guide inspectors to restaurants that may have an active lapse in food safety. Additionally, the fact that contamination was most frequently observed in both groups of restaurants shows that there is a need to educate food handlers and managers on effective contamination prevention techniques.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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710 2 $a University of Nevada, Las Vegas. $b Environmental and Occupational Health. $3 1180844
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