Dong Jiang

Dec 18, 2024 | nature.com | Shuai Chen |Fangyu Ding |David Buil-Gil |Mengmeng Hao |Jingying Fu |Jiping Dong | +4 more

The COVID-19 pandemic profoundly altered socio-economic activities, human behaviors, and crime patterns. However, less is known about how the pandemic and associated restrictions affected cyber-enabled and traditional fraud. Here, we conducted a retrospective analysis using police-recorded crime data in the UK to examine the impact of COVID-19 restrictions and changes in human activity on fraud. Results indicate that following the onset of the lockdown, the number of recorded fraud cases increased by 28.5%, contrasting with traditional property crimes, which dropped by 28.1%. However, the lockdown did not have a significant impact on the long-term trend of fraud. With the lifting of restrictions, fraud gradually regressed to levels approaching those before the pandemic. By inspecting the effects of different government responses and changes in population mobility on various types of fraud, we found that more stringent restrictions were associated with larger increases in most types of cyber-enabled fraud, except for those that rely on offline activities, whereas the impact on traditional fraud was mixed and contingent upon specific opportunity structures. These findings overall align with the assumptions of routine activity theory and provide clear support for its applicability in fraud and cybercrime.

Nov 25, 2024 | cytojournal.com | XueQian Liu |Dong Jiang |Yang Liu |Kun Xie

Translate this page into: doi: 10.25259/Cytojournal_109_2024, , , , , 1Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China. *Corresponding author: Fubao Liu, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Nov 12, 2024 | nature.com | Mengmeng Hao |Fangyu Ding |Dong Jiang |Shuai Chen |Jiping Dong |Jun Zhuo

Cybercrime is a complex human behavior and social phenomenon. The COVID-19 pandemic has significantly altered socioeconomic activities, potentially causing changes in crime patterns. However, there has been limited research on how the interaction between the pandemic and socioeconomic factors affects cybercrime. Here we explore the spatiotemporal patterns of police-recorded cybercrime, including fraud and cyber-dependent crime, and employ a machine learning approach to assess the correlation of various factors on cybercrimes at the level of internal regions and police areas within the United Kingdom. Our results show that fraud and cyber-dependent crime are mainly concentrated in London and the southeast region of England. Moreover, following the implementation of the third national lockdown, these areas experienced a noticeable increase, while changes in other regions were not as pronounced. The spatial autocorrelation analysis further suggests that there are significant spatial heterogeneities among regions, with spatiotemporal hotspots centered around London and cold spots mainly concentrated in the northeast of England. Additionally, we found that the identified patterns of fraud and cyber-dependent crime are primarily associated with socioeconomic factors, followed by government containment measures and mobility factors. These findings can help law enforcement and regulatory agencies better understand the social-environmental factors contributing to the prevalence of cybercrime within those areas.

Apr 15, 2024 | dialnet.unirioja.es | Dong Jiang |Yuanyuan Wang |Hui Sun |Li Dai

DONG JIANG[1];YUANYUAN WANG[1];HUI SUN[1];LI YI DAI[1][1]East China Normal University Department of Chemistry East Shanghai Key Laboratory of Green Chemistry and Chemical ProcessLocalización: Journal of the Chilean Chemical Society, ISSN-e 0717-9707, ISSN 0717-9324, Vol. 52, Nº. 4, 2007, págs.

Nov 4, 2023 | mdpi.com | Zhenyu Wang |Dong Jiang |Zicheng Liu |Xuan Zhao

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