Literature DB >> 32556325

Detecting Foodborne Disease Outbreaks in Florida through Consumer Complaints.

Xiaolong Li1, Amanda C Sapp2, Nitya Singh2, Laura Matthias3, Chad Bailey3, Jamie DeMENT3, Arie H Havelaar2,4.   

Abstract

ABSTRACT: The Florida Complaint and Outbreak Reporting System (FL-CORS) database is used by the Florida Department of Health's Food and Waterborne Disease Program as one of the tools to detect foodborne disease outbreaks (FBOs). We present a descriptive and spatial network analysis of FL-CORS data collected during 2015 to 2018. We also quantified FBOs that were investigated and confirmed because of a filed complaint and the etiological agents involved in these outbreaks. An increasing number of unique complaints filed in FL-CORS was observed during 2015 to 2018, with a sharp increase during 2017 to 2018 and a different seasonal pattern in 2018. The preferred mechanism of reporting varied by age group, with younger people more frequently filing complaints online and older people preferring reporting in person or by phone. Spatial network analysis revealed that 87% of complaints had the same county of residence and county of presumed exposure. Frequency of complaints was negatively associated with linear distance between place of residence and place of exposure at the zip code level. Counties located in North and Central Florida, as well as some coastal areas in South Florida, had higher incidence rates of complaints. Those counties tend to have a large population density, and some are popular vacation destinations. On average, 96 FBOs were reported in Florida annually, of which 60% were confirmed with successful identification of the causative agent. The 56% of the confirmed FBOs were triggered by a complaint. Throughout the years, 2.4 to 2.8 FBOs and 1.4 confirmed FBOs were identified per 100 complaints. Ciguatera toxin was the cause of 40% of all FBOs in Florida, and only 28% of outbreaks were detected through complaints. In contrast, complaints were the main source of identifying outbreaks of norovirus, nontyphoidal Salmonella enterica, and scombroid food poisoning, as well as rare outbreaks of Clostridium perfringens, Cryptosporidium spp., Shigella spp., and Vibrio vulnificus.
Copyright ©, International Association for Food Protection.

Entities:  

Keywords:  Consumer complaints; Foodborne disease outbreaks; Outbreak detection; Spatial network analysis

Year:  2020        PMID: 32556325     DOI: 10.4315/JFP-20-138

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  3 in total

1.  Leveraging data analytics to understand the relationship between restaurants' safety violations and COVID-19 transmission.

Authors:  Arthur Huang; Efrén de la Mora Velasco; Ashkan Farhangi; Anil Bilgihan; Melissa Farboudi Jahromi
Journal:  Int J Hosp Manag       Date:  2022-05-11

2.  Spatial Epidemiology of Salmonellosis in Florida, 2009-2018.

Authors:  Xiaolong Li; Nitya Singh; Elizabeth Beshearse; Jason L Blanton; Jamie DeMent; Arie H Havelaar
Journal:  Front Public Health       Date:  2021-01-11

3.  Digital Technologies and Open Data Sources in Marine Biotoxins' Risk Analysis: The Case of Ciguatera Fish Poisoning.

Authors:  Panagiota Katikou
Journal:  Toxins (Basel)       Date:  2021-09-30       Impact factor: 4.546

  3 in total

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