Analysis of correlation between food consumption habits and COVID-19 outbreak

Document Type : Research Paper

Authors

1 School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

2 Kingston Business School, Kingston University, Kingston Hill, Kingston Upon Thames, London, United Kingdom

3 School of Industrial Engineering, K. N. Toosi University of Technology (KNTU), Tehran, Iran

Abstract

The outbreak of COVID-19 sparked a massive movement among the world's people to control this dangerous and unknown disease. So many nutritionists have made many medical recommendations to control this disease by using special nutrients. In this regard, we decided to examine the effect of two nutrients, protein and fat, which are the main ingredient in many nutrients, on the rate of death and recovery of patients covid-19. Available data from 170 countries worldwide have been examined to discover this effect. Linear and non-linear relationships and the correlation coefficient between response variables and different nutrients have been calculated and analyzed in detail. According to the results, these two elements cannot be considered influential in predicting the current rate with high reliability. Protein and fat have a high nutritional value and play an essential role in human health, but the amount of this need for humans is different, which in turn contradicts the results obtained from patients. Although correlation coefficients are not high, the existence of this correlation still requires further studies in this field. We have also used models such as Decision tree, Rule introduction, and Naive Bayes in our research to predict future results, which will give us an understanding of the results obtained.

Keywords

Main Subjects


Adams, E. L., Caccavale, L. J., Smith, D., & Bean, M. K. (2020). Food insecurity, the home food environment, and parent feeding practices in the era of COVID‐19. Obesity, 28(11), 2056-2063.
 
Albahri, A., & Hamid, R. A. (2020). Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review. Journal of Medical Systems, 44(7).
 
Alballa, N., & Al-Turaiki, I. (2021). Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review. Informatics in Medicine Unlocked, 24, 100564.
 
Aldaco, R., Hoehn, D., Laso, J., Margallo, M., Ruiz-Salmón, J., Cristobal, J., . . . Batlle-Bayer, L. (2020). Food waste management during the COVID-19 outbreak: a holistic climate, economic and nutritional approach. Science of the Total Environment, 742, 140524.
 
Alipour-Vaezi, M., Aghsami, A., & Rabbani, M. (2021). Introducing a Novel Revenue-Sharing Contract in Media Supply Chain Management using Data Mining and Multi-Criteria Decision-Making Methods.
 
Alipour-Vaezi, M., Tavakkoli-Moghadaam, R., & Samieinasab, M. (2021). Scheduling the COVID-19 vaccine distribution based on data-driven decision-making methods. Journal of Industrial Engineering and Management Studies, 1-11.
 
Alipour Vaezi, M., & Tavakkoli-Moghaddam, R. (2020). A new methodology for COVID-19 preparedness centers based on a location-allocation platform. Journal of Industrial and Systems Engineering, 13(1), 35-41.
 
Alves, M. A., de Castro, G. Z., Oliveira, B. A. S., Ferreira, L. A., Ramírez, J. A., Silva, R., & Guimarães, F. G. (2021). Explaining Machine Learning based Diagnosis of COVID-19 from Routine Blood Tests with Decision Trees and Criteria Graphs. Computers in Biology and Medicine, 104335.
 
Amicarelli, V., & Bux, C. (2020). Food waste in Italian households during the Covid-19 pandemic: a self-reporting approach. Food Security, 1-13.
 
Ayyoubzadeh, S. M., Ayyoubzadeh, S. M., Zahedi, H., Ahmadi, M., & Kalhori, S. R. N. (2020). Predicting COVID-19 incidence through analysis of google trends data in iran: data mining and deep learning pilot study. JMIR Public Health and Surveillance, 6(2), e18828.
 
Baralić, K., Jorgovanović, D., Živančević, K., Miljaković, E. A., Antonijević, B., Djordjevic, A. B., . . . Đukić-Ćosić, D. (2020). Safety assessment of drug combinations used in COVID-19 treatment: in silico toxicogenomic data-mining approach. Toxicology and Applied Pharmacology, 406, 115237.
 
Ben Hassen, T., El Bilali, H., & S Allahyari, M. (2020). Impact of COVID-19 on Food Behavior and Consumption in Qatar. Sustainability, 12(17), 6973.
 
BourBour, F., Mirzaei Dahka, S., Gholamalizadeh, M., Akbari, M. E., Shadnoush, M., Haghighi, M., . . . Doaei, S. (2020). Nutrients in prevention, treatment, and management of viral infections; special focus on Coronavirus. Archives of Physiology and Biochemistry, 1-10.
 
Burdick, H., Lam, C., Mataraso, S., Siefkas, A., Braden, G., Dellinger, R. P., . . . Barnes, G. (2020). Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. Computers in Biology and Medicine, 124, 103949.
 
Carroll, N., Sadowski, A., Laila, A., Hruska, V., Nixon, M., Ma, D. W., & Haines, J. (2020). The impact of COVID-19 on health behavior, stress, financial and food security among middle to high income Canadian families with young children. Nutrients, 12(8), 2352.
 
Dey, A., Das, R., Misra, H. S., & Uppal, S. (2020). COVID-19: Scientific Overview of the global Pandemic. New Microbes and New Infections, 100800.
 
Erokhin, V., & Gao, T. (2020). Impacts of COVID-19 on trade and economic aspects of food security: Evidence from 45 developing countries. International journal of environmental research and public health, 17(16), 5775.
 
Fitzpatrick, K. M., & Willis, D. E. (2020). Homeless and hungry: food insecurity in the land of plenty.  Food Security, 1-10.
 
Funayama, M., Kurose, S., Kudo, S., Shimizu, Y., & Takata, T. (2020). New information technology (IT)-related approaches could facilitate psychiatric treatments in general hospital psychiatry during the COVID-19 pandemic. Asian Journal of Psychiatry.
 
 
Hussain, A., Mahawar, K., Xia, Z., Yang, W., & Shamsi, E.-H. (2020). Obesity and mortality of COVID-19. Meta-analysis. Obesity research & clinical practice.
 
 
Kamal, M., Aljohani, A., & Alanazi, E. (2020). IoT meets COVID-19: Status, challenges, and opportunities. arXiv preprint arXiv:2007.12268.
 
Kang, C., Rohlof, H., Yuan, J., & Yang, J. (2020). Will the COVID-19 outbreak bring the health care system and health industry to a new era in China? Asian Journal of Psychiatry.
 
Laguna, L., Fiszman, S., Puerta, P., Chaya, C., & Tárrega, A. (2020). The impact of COVID-19 lockdown on food priorities. Results from a preliminary study using social media and an online survey with Spanish consumers. Food Quality and Preference, 86, 104028.
 
Leddy, A. M., Weiser, S. D., Palar, K., & Seligman, H. (2020). A conceptual model for understanding the rapid COVID-19–related increase in food insecurity and its impact on health and healthcare. The American Journal of Clinical Nutrition, 112(5), 1162-1169.
 
Li, D., Chaudhary, H., & Zhang, Z. (2020). Modeling spatiotemporal pattern of depressive symptoms caused by COVID-19 using social media data mining. International Journal of Environmental Research and Public Health, 17(14), 4988.
 
Li, J., Xu, Q., Cuomo, R., Purushothaman, V., & Mackey, T. (2020). Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance study. JMIR Public Health and Surveillance, 6(2), e18700.
 
Mamoudan, M. M., Forouzanfar, D., Mohammadnazari, Z., Aghsami, A., & Jolai, F. (2021). Factor identification for insurance pricing mechanism using data mining and multi criteria decision making. Journal of Ambient Intelligence and Humanized Computing, 1-20.
 
Mohammadnazari, Z., & Ghannadpour, S. F. (2018). Employment of multi criteria decision making techniques and mathematical formulation for Construction of the sustainable hospital. International Journal of Hospital Research, 7(2), 112-127.
 
Mohammadnazari, Z., & Ghannadpour, S. F. (2021). Sustainable construction supply chain management with the spotlight of inventory optimization under uncertainty. Environment, Development and Sustainability, 23(7), 10937-10972.
 
Neff, L. M. (2020). Hidden hunger: food insecurity in the age of coronavirus. The American Journal of Clinical Nutrition.
 
Peter, D., & Xavier, P. (2020). A Review of the Possible Implication of COVID-19 Lockdown on Eating Habits. Int J Cur Res Rev| Vol, 12(19), 56.
 
Samieinasab, M., Torabzadeh, S.A., Behnam, A., Aghsami, A. and Jolai, F., 2022. Meta-Health Stack: A new approach for breast cancer prediction. Healthcare Analytics, 2, p.100010.
 
Sarkar, S., Mishra, S., & Padhy, S. K. (2020). How COVID-19 may impact mental health research conduct, interpretation and priorities? Asian Journal of Psychiatry.
 
Shrestha, N., Shad, M. Y., Ulvi, O., Khan, M. H., Karamehic-Muratovic, A., Nguyen, U.-S. D., . . . Cervantes, D. (2020). The impact of COVID-19 on globalization. One Health, 100180.
 
Sonbhadra, S. K., Agarwal, S., & Nagabhushan, P. (2020). Target specific mining of COVID-19 scholarly articles using one-class approach. arXiv preprint arXiv:2004.11706.
 
Sun, X., Jiang, J., Wang, Y., & Liu, S. (2020). Exploring the potential therapeutic effect of traditional Chinese medicine on coronavirus disease 2019 (COVID-19) through a combination of data mining and network pharmacology analysis. European Journal of Integrative Medicine, 101242.
 
Tavakkoli-Moghaddam, R., Alipour-Vaezi, M., & Mohammad-Nazari, Z. (2020). A New Application of Coordination Contracts for Supplier Selection in a Cloud Environment. Paper presented at the IFIP International Conference on Advances in Production Management Systems.
 
Wang, J., Wang, Z., Liu, X., Yang, X., Zheng, M., & Bai, X. (2020). The impacts of a COVID-19 epidemic focus and general belief in a just world on individual emotions. Personality and Individual Differences, 168, 110349.
 
Wen, J., Cheng, Y., Ling, R., Dai, Y., Huang, B., Huang, W., . . . Jiang, Y. (2020). Antibody-dependent enhancement of Coronavirus. International Journal of Infectious Diseases.
 
Xie, X., Huang, L., Li, J. J., & Zhu, H. (2020). Generational Differences in Perceptions of Food Health/Risk and Attitudes toward Organic Food and Game Meat: The Case of the COVID-19 Crisis in China. International journal of environmental research and public health, 17(9), 3148.
 
Zhang, Y., Diao, X., Chen, K. Z., Robinson, S., & Fan, S. (2020). Impact of COVID-19 on China's macroeconomy and agri-food system–an economy-wide multiplier model analysis. China Agricultural Economic Review.
 
Zhao, H., He, X., Fan, G., Li, L., Huang, Q., Qiu, Q., . . . Ding, L. (2020). COVID-19 infection outbreak increases anxiety level of general public in China: involved mechanisms and influencing factors. Journal of affective disorders, 276, 446-452.