A Scoping Review of Drug Epidemic Models

Wei Wang, Sifen Lu, Haoxiang Tang, Biao Wang, Caiping Sun, Pai Zheng, Yi Bai, Zuhong Lu and Yulin Kang
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Wei Wang: Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Sifen Lu: Precision Medicine Key Laboratory of Sichuan Province and Precision Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China
Haoxiang Tang: Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
Biao Wang: Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Caiping Sun: Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Pai Zheng: Department of Occupational and Environmental Health Science, School of Public Health, Peking University, Beijing 100871, China
Yi Bai: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100871, China
Zuhong Lu: State Key Lab of Bioelectronics, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
Yulin Kang: Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China

IJERPH, 2022, vol. 19, issue 4, 1-18

Abstract: The phenomenon of drug epidemics has been a global issue in the past decades, causing enormous damages to the physical and mental health of drug users and social well-being. Despite great efforts to curb drug epidemics at the governmental or social level, the total number of drug users has still been on the rise in recent years, along with illicit production and trafficking around the world. Inspired by dynamical epidemic models of infectious disease, a flourishment of promising results has been observed in the exploration of drug epidemic models. In this review, we aim to provide a scoping review of all existing drug epidemic modeling studies, and it has been shown that most studies focused on analyses of theoretical behaviors of the model systems, lacking emphasis on practical applications in real settings. We found that the drug epidemic models were characterized by a longer time scale, no incubation period, no significant prevention vaccines interfered, and population specificity. This review could assist policymakers and public health workers in gaining deeper insights into modeling tools, and help modelers improve their works, thus narrowing gaps between mathematical epidemiology and public health studies.

Keywords: drug epidemic model; mathematical epidemiology; nonlinear dynamic systems (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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