Childhood at Risk: Quantile Insights Into Abuse Rates Amid Pandemic Uncertainty

BACKGROUND: Uncertainty surrounding the COVID-19 pandemic has amplified psychological strain and financial hardship, driving a troubling rise in child abuse across the world. As families grapple with instability, children become the silent victims, suffering from increased neglect and violence in environments meant to protect them. AIMS: This study investigates how pandemic-induced uncertainty asymmetrically influences child abuse in 10 heterogeneous nations: the USA, Brazil, India, Germany, Japan, South Africa, Mexico, Nigeria, Australia, and the Philippines. METHOD: Using the World Pandemic Uncertainty Index, which captures uncertainty arising from several disease outbreaks, including SARS, avian flu, MERS, Ebola, and COVID-19, the analysis applies the Quantile-on-Quantile methodology to trace fluctuations in the variables across quantiles within each country. Unlike traditional panel-based models, this method allows for a nuanced, country-specific analysis that reveals significant nonlinearities.ResultsThe findings show that pandemic uncertainty significantly increases child abuse rates in most of the selected nations. CONCLUSIONS: The findings reveal substantial asymmetries in the pandemic uncertainty-child abuse relationship across countries and quantiles, indicating that the effects of uncertainty are neither uniform nor linear. The results underscore the need for policymakers to undertake comprehensive monitoring and design resilient strategies that respond to shifts in pandemic uncertainty and child abuse.

Authors

Institutions

Publication Details

Journal
International Journal of Social Psychiatry
Published
2026-10-26
DOI
https://doi.org/10.1177/00207640261496540
Primary Topic
Child Abuse and Trauma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Childhood at Risk: Quantile Insights Into Abuse Rates Amid Pandemic Uncertainty

Muhammad Khalid Anser, Amjad Fakher, Raima Nazar, Sajid Ali
International Journal of Social Psychiatry
Child Abuse and Trauma
article

Childhood at Risk: Quantile Insights Into Abuse Rates Amid Pandemic Uncertainty

Muhammad Khalid Anser, Amjad Fakher, Raima Nazar, Sajid Ali
article en

Abstract

BACKGROUND: Uncertainty surrounding the COVID-19 pandemic has amplified psychological strain and financial hardship, driving a troubling rise in child abuse across the world. As families grapple with instability, children become the silent victims, suffering from increased neglect and violence in environments meant to protect them. AIMS: This study investigates how pandemic-induced uncertainty asymmetrically influences child abuse in 10 heterogeneous nations: the USA, Brazil, India, Germany, Japan, South Africa, Mexico, Nigeria, Australia, and the Philippines. METHOD: Using the World Pandemic Uncertainty Index, which captures uncertainty arising from several disease outbreaks, including SARS, avian flu, MERS, Ebola, and COVID-19, the analysis applies the Quantile-on-Quantile methodology to trace fluctuations in the variables across quantiles within each country. Unlike traditional panel-based models, this method allows for a nuanced, country-specific analysis that reveals significant nonlinearities.ResultsThe findings show that pandemic uncertainty significantly increases child abuse rates in most of the selected nations. CONCLUSIONS: The findings reveal substantial asymmetries in the pandemic uncertainty-child abuse relationship across countries and quantiles, indicating that the effects of uncertainty are neither uniform nor linear. The results underscore the need for policymakers to undertake comprehensive monitoring and design resilient strategies that respond to shifts in pandemic uncertainty and child abuse.

International Journal of Social Psychiatry
Bahauddin Zakariya University (PK), Recep Tayyip Erdoğan University (TR), Xi'an International Studies University (CN), Social Welfare Department (HK), The Women University Multan (PK), Xi’an International University (CN), Shaanxi Institute of International Trade & Commerce (CN)
Openalex Percentile: Top 9%
Child Abuse and Trauma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon