Random forest models of food safety behavior during the COVID-19 pandemic.
Machine learning approaches are increasingly being adopted as data analysis tools in scientific behavioral predictions. This paper utilizes a machine learning approach, Random Forest Model, to determine the top prediction variables of food safety behavioral changes during the pandemic. Data was coll...
| Publicado en: | International Journal of Environmental Health Research Vol. 35; no. 2; pp. 357 - 370 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182633769&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182633769 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Feb2025 vid: 35 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 182633769 177269838 182633769 182633769 10.1080/09603123.2024.2354441 182633769 ppf: 357 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Random forest models of food safety behavior during the COVID-19 pandemic. aug: au: Berglund, Zachary Kontor-Manu, Elma Jacundino, Samuel Biano Feng, Yaohua affil: Department of Food Science, Purdue University, West Lafayette, IN, USA sug: subj: Food Poisoning Prevention and Control Food Poisoning Risk Factors Machine Learning Food Safety Health Behavior COVID-19 Pandemic Predictive Value of Tests Evaluation Human Random Forest Handwashing Prediction Models Funding Source Attitude to Health ab: Machine learning approaches are increasingly being adopted as data analysis tools in scientific behavioral predictions. This paper utilizes a machine learning approach, Random Forest Model, to determine the top prediction variables of food safety behavioral changes during the pandemic. Data was collected among U.S. consumers on risk perception of COVID-19 and foodborne illness (FBI), food safety practice behaviors and demographics through online surveys at ten different time points from April 2020 through to May 2021; and post pandemic in May 2022. Random forest model was used to predict 14 food safety-related behaviors. The models for predicting Handwashing before cooking and Handwashing after eating had a good performance, with F-1 score of 0.93 and 0.88, respectively. Attitudes- related variables were determined to be important in predicting food safety behaviors. The importance ranking of the predicting variables were found to be changing over time. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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