Evidence map›Paper›PMID 42606667›Full record

ArticleArchives of sexual behavior2026

The New Digital Pandemic: How Uncertainty Drives the Rise of Sextortion.

Yamei Zeng, Shoujie Cai, Amjad Fakher, Sajid Ali

Abstract read
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In one paragraph

Article in Archives of sexual behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yamei ZengSchool of Law, Southeast University, Jiangsu, China.
Shoujie CaiLocal Legislation Research Base of Jiangsu Province, Southeast University, 211189, Jiangsu, China. sj_cai@njupt.edu.cn.
Amjad FakherSocial Welfare and Baitul-Ul-Maal Department, Lahore, Pakistan.
Sajid AliSchool of Economics, Bahauddin Zakariya University, Multan, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global wave of pandemic-induced uncertainty sparked a rise in online criminal activities, with sextortion emerging as a leading form of exploitation. It involved perpetrators coercing victims into providing sexual images or favors under the threat of exposing compromising material. As daily routines were disrupted and digital reliance increased, cybercriminals seized new opportunities to target vulnerable individuals, thereby amplifying sextortion risks worldwide. This research explored the asymmetric association between pandemic uncertainty and sextortion across 10 key nations (Brazil, Canada, Germany, India, Mexico, Nigeria, the Philippines, Russia, South Africa, and the USA). An innovative pandemic uncertainty index was employed, integrating data from multiple outbreaks, namely COVID-19, MERS, SARS, and Ebola. Prior studies had relied on panel data methods and often disregarded the diverse economic structures across countries. However, by utilizing the Quantile-on-Quantile tool, this study revealed nuanced relationships between the variables, capturing global trends while uncovering the distinctive dynamics of each country. The findings indicated that pandemic-induced uncertainty was associated with increased sextortion rates across different quantiles in the selected economies, highlighting varied patterns across nations. The findings underlined the urgency for policymakers to craft tailored, context-specific strategies to combat sextortion, especially as the digital landscape had become increasingly shaped by pandemic-related fears. To protect vulnerable populations, targeted interventions are needed to address the unique challenges and nuanced trends observed across countries.

Indexed as

PandemicsSex WorkBrazilCanadaCOVID-19Digital MediaHumansIndiaMexicoNigeriaPhilippinesRussiaSARS-CoV-2South AfricaUncertaintyUnited StatesCybercrimePandemic uncertaintyQuantile estimationSextortion

Identifiers

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Registered trials

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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.