ArticleJMIR public health and surveillance2017
A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports.
Article in JMIR public health and surveillance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social media based surveillance systems for healthcare using machine learning: A systematic review.Journal of biomedical informatics · 2020Pooled it
- Crowdsourced surveillance for neglected tropical diseases, Nigeria.Bulletin of the World Health Organization · 2025Article
- Analysis of foodborne outbreaks in Wenzhou City, China, 2012-2022.Epidemiology and infection · 2024Article
- Food handling practices and sanitary conditions of charitable food assistance programs in eThekwini District, KwaZulu-Natal, South Africa.Scientific reports · 2024Article
- Engaging a national-scale cohort of smart thermometer users in participatory surveillance.NPJ digital medicine · 2023Article
- A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media.Foods (Basel, Switzerland) · 2023Article
- What Motivates Consumer Food Safety Perceptions and Beliefs? A Scoping Review in BRICS Countries.Foods (Basel, Switzerland) · 2022Article
- Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media.Scientific reports · 2021Article
- Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study.JMIR public health and surveillance · 2020Article
- Detecting reports of unsafe foods in consumer product reviews.JAMIA open · 2019Article
- Outbreak Investigation of a Multipathogen Foodborne Disease in a Training Institute in Rabat, Morocco: Case-Control Study.JMIR public health and surveillance · 2019Article
- Laboratory capacity of Greek hospitals for diagnosis of salmonellosis and surveillance systems' performance in the years of economic crisis, 2010-2016.Epidemiology and infection · 2018Article
- Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study.Journal of medical Internet research · 2018Article
- Emerging infectious diseases: prediction and detection.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2017Article
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Authors and funding
2 authors.
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Abstract
backgroundUnderreporting of foodborne illness makes foodborne disease burden estimation, timely outbreak detection, and evaluation of policies toward improving food safety challenging.
objectiveThe objective of this study was to present and evaluate Iwaspoisoned.com, an openly accessible Internet-based crowdsourcing platform that was launched in 2009 for the surveillance of foodborne illness. The goal of this system is to collect data that can be used to augment traditional approaches to foodborne disease surveillance.
methodsIndividuals affected by a foodborne illness can use this system to report their symptoms and the suspected location (eg, restaurant, hotel, hospital) of infection. We present descriptive statistics of users and businesses and highlight three instances where reports of foodborne illness were submitted before the outbreaks were officially confirmed by the local departments of health.
resultsMore than 49,000 reports of suspected foodborne illness have been submitted on Iwaspoisoned.com since its inception by individuals from 89 countries and every state in the United States. Approximately 95.51% (42,139/44,119) of complaints implicated restaurants as the source of illness. Furthermore, an estimated 67.55% (3118/4616) of users who responded to a demographic survey were between the ages of 18 and 34, and 60.14% (2776/4616) of the respondents were female. The platform is also currently used by health departments in 90% (45/50) of states in the US to supplement existing programs on foodborne illness reporting.
conclusionsCrowdsourced disease surveillance through systems such as Iwaspoisoned.com uses the influence and familiarity of social media to create an infrastructure for easy reporting and surveillance of suspected foodborne illness events. If combined with traditional surveillance approaches, these systems have the potential to lessen the problem of foodborne illness underreporting and aid in early detection and monitoring of foodborne disease outbreaks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.