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...

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Publicado en:International Journal of Environmental Health Research Vol. 35; no. 2; pp. 357 - 370
Autores principales: Berglund, Zachary, Kontor-Manu, Elma, Jacundino, Samuel Biano, Feng, Yaohua
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Feb2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Random forest models of food safety behavior during the COVID-19 pandemic.
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        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.
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    language: English
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