Interpretation of the theoretical model of big data eco-epidemiology

XUE Fu-zhong

doi:10.16462/j.cnki.zhjbkz.2022.10.004

Volume 26 Issue 10

Oct. 2022

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XUE Fu-zhong. Interpretation of the theoretical model of big data eco-epidemiology[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1129-1136. doi: 10.16462/j.cnki.zhjbkz.2022.10.004

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XUE Fu-zhong. Interpretation of the theoretical model of big data eco-epidemiology[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1129-1136. doi: 10.16462/j.cnki.zhjbkz.2022.10.004

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Interpretation of the theoretical model of big data eco-epidemiology

doi: 10.16462/j.cnki.zhjbkz.2022.10.004

XUE Fu-zhong^{1, 2
,
,}

1.
Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
2.
National Institute of Health Data Science of China, Jinan 250003, China

Funds:

National Key Research and Development Program of China 2020YFC2003500

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Corresponding author: XUE Fu-zhong, E-mail: xuefzh@sdu.edu.cn
Received Date: 2022-07-22
Rev Recd Date: 2022-09-02
Publish Date: 2022-10-10

Abstract

Abstract

Nowadays, digital technology has become a new type of health determinant, which not only changes society, economy, city and family, but also affects human health; human beings have entered a new digital virtual world. Therefore, in the theoretical paradigm of big data eco-epidemiology, the real world eco-epidemiological model and the virtual world eco-epidemiological model form a relatively independent community with mutual game interaction, both of which are mediated by epigenetics, and they play games and depend on each other among the genome-centric multi-omics factors, health determinants of real world and virtual world; thus, a new etiological framework of eco-epidemiology with interactive games of health determinants in many mosaic levels is formed. The two eco-epidemiological models of the real world and the virtual world play a role through the one health model with digital technology as a "double-edged sword".
- Eco-epidemiological model,
- Real world eco-epidemiological model,
- Virtual world eco-epidemiological model

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References(87)

References

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