Published on 05.07.17 in Vol 3, No 3 (2017): Jul-Sept
Works citing "A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports"
According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.7076):
(note that this is only a small subset of citations)
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Mellou K, Saranti-Papasaranti E, Mandilara G, Georgakopoulou T. Laboratory capacity of Greek hospitals for diagnosis of salmonellosis and surveillance systems’ performance in the years of economic crisis, 2010–2016. Epidemiology and Infection 2019;147
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Ogden N, AbdelMalik P, Pulliam J. Emerging infectious diseases: prediction and detection. Canada Communicable Disease Report 2017;43(10):206
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Leal Neto O, Cruz O, Albuquerque J, Nacarato de Sousa M, Smolinski M, Pessoa Cesse E, Libel M, Vieira de Souza W. Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study. JMIR Public Health and Surveillance 2020;6(2):e16119
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Gupta A, Katarya R. Social media based surveillance systems for healthcare using machine learning: A systematic review. Journal of Biomedical Informatics 2020;108:103500
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Wenham C, Gray ER, Keane CE, Donati M, Paolotti D, Pebody R, Fragaszy E, McKendry RA, Edmunds WJ. 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 2018;20(3):e71
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Moumni Abdou H, Dahbi I, Akrim M, Meski FZ, Khader Y, Lakranbi M, Ezzine H, Khattabi A. Outbreak Investigation of a Multipathogen Foodborne Disease in a Training Institute in Rabat, Morocco: Case-Control Study. JMIR Public Health and Surveillance 2019;5(3):e14227
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Maharana A, Cai K, Hellerstein J, Hswen Y, Munsell M, Staneva V, Verma M, Vint C, Wijaya D, Nsoesie EO. Detecting reports of unsafe foods in consumer product reviews. JAMIA Open 2019;2(3):330
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Deng X, Cao S, Horn AL. Emerging Applications of Machine Learning in Food Safety. Annual Review of Food Science and Technology 2021;12(1):513
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Marshall Q, Bellows AL, McLaren R, Jones AD, Fanzo J. You Say You Want a Data Revolution? Taking on Food Systems Accountability. Agriculture 2021;11(5):422
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Tao D, Zhang D, Hu R, Rundensteiner E, Feng H. Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media. Scientific Reports 2021;11(1)
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Tian X, Hu J, Wei T, Ding W, Miao Q, Ning Z, Fan S, Wu H, Lu J, Lyu M, Wang S. Fast and sensitive graphene oxide‐DNAzyme‐based biosensor for Vibrio alginolyticus detection. Journal of Fish Diseases 2022;45(5):687
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Zhou Q, Zhang H, Wang S. Artificial intelligence, big data, and blockchain in food safety. International Journal of Food Engineering 2022;18(1):1
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Zanetta LD, Mucinhato RMD, Hakim MP, Stedefeldt E, da Cunha DT. What Motivates Consumer Food Safety Perceptions and Beliefs? A Scoping Review in BRICS Countries. Foods 2022;11(3):432
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Tao D, Hu R, Zhang D, Laber J, Lapsley A, Kwan T, Rathke L, Rundensteiner E, Feng H. A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media. Foods 2023;12(14):2769
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Tseng Y, Olson KL, Bloch D, Mandl KD. Engaging a national-scale cohort of smart thermometer users in participatory surveillance. npj Digital Medicine 2023;6(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.7076):
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Pujahari RM, Khan R. Artificial Intelligence Applications in Agriculture and Food Quality Improvement. 2022. chapter 12:216
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