Evidence map›Paper›PMID 41145951›Full record

ArticleArchives of sexual behavior2025

From Pandemic to Porndemic: Understanding the Digital Consumption of Pornography in Uncertain Times.

Guobang Wu, Zeeshan Rasool, Sajid Ali, Malik Mureed Hussain

Abstract read
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In one paragraph

Article in Archives of sexual behavior, 2025. 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.

Guobang WuFaculty of Law, University of Vienna, Vienna, Austria.
Zeeshan RasoolDepartment of Management Science, Muhammad Nawaz Sharif University of Engineering and Technology, Multan, 60000, Pakistan. zeeshan_rasool114@hotmail.com.
Sajid AliSchool of Economics, Bahauddin Zakariya University, Multan, 60000, Pakistan.
Malik Mureed HussainDepartment of Applied Psychology, Bahauddin Zakariya University, Multan, 60000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid the global turmoil triggered by pandemic uncertainty, a dramatic shift unfolded in digital behaviors as people turned to online platforms for escapism and intimacy. One striking manifestation of this trend was the surge in online pornography consumption, revealing complex intersections between psychological stress, social isolation, and digital coping mechanisms. This study investigated how pandemic uncertainty influenced online pornography consumption across ten emerging and digitally active economies-Argentina, Brazil, Egypt, Indonesia, Malaysia, Nigeria, Philippines, South Africa, Turkey, and Vietnam. Unlike earlier studies centered solely on COVID-19, this research employed a broader pandemic uncertainty index encompassing multiple outbreaks, including Ebola, SARS, avian flu, MERS, COVID-19, and others. Departing from conventional panel data instruments that may overlook country-specific dynamics, it applied the Quantile-on-Quantile tool to enable a more granular and context-sensitive analysis. The results revealed that pandemic uncertainty generally drives higher online pornography consumption in most selected countries, though Indonesia and Malaysia exhibited mixed trends. These findings underscore the need for policymakers to proactively monitor shifts in pandemic uncertainty and digital behavior to formulate effective, adaptive responses.

Indexed as

COVID-19EroticaPandemicsAdultFemaleHumansMaleUncertaintyEmerging economiesOnline pornographyPandemic-induced uncertaintyQuantile-on-Quantile estimationWorld Pandemic Uncertainty Index

Identifiers

What OpenQuestion holds

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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.