Evidence map›Paper›PMID 35206206›Full record

ArticleInternational journal of environmental research and public health2022

A Scoping Review of Drug Epidemic Models.

Wei Wang, Sifen Lu, Haoxiang Tang, Biao Wang, Caiping Sun, Pai Zheng, Yi Bai, Zuhong Lu, Yulin Kang

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wei WangInstitute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Sifen LuPrecision Medicine Key Laboratory of Sichuan Province and Precision Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-4891-1682
Haoxiang TangDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China.
Biao WangInstitute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Caiping SunInstitute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Pai ZhengDepartment of Occupational and Environmental Health Science, School of Public Health, Peking University, Beijing 100871, China.
Yi BaiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100871, China.
Zuhong LuState 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 KangInstitute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.ORCID 0000-0002-7875-7930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Communicable DiseasesEpidemicsHealth PersonnelHumansModels, BiologicalModels, TheoreticalPublic Healthdrug epidemic modelmathematical epidemiologynonlinear dynamic systems

Identifiers

PMID35206206
PMCPMC8872096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.