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Main Authors: Jiang, Zhuoren, Liu, Xiaozhong, Kang, Yangyang, Sun, Changlong, Ahn, Yong-Yeol, Bollen, Johan
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2502.05622
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author Jiang, Zhuoren
Liu, Xiaozhong
Kang, Yangyang
Sun, Changlong
Ahn, Yong-Yeol
Bollen, Johan
author_facet Jiang, Zhuoren
Liu, Xiaozhong
Kang, Yangyang
Sun, Changlong
Ahn, Yong-Yeol
Bollen, Johan
contents The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of International Concern (PHEIC) on January 31, 2020. However, rumors of a "mysterious virus" had already been circulating in China in December 2019, possibly preceding the first confirmed COVID-19 case. Understanding how awareness about an emerging pandemic spreads through society is vital not only for enhancing disease surveillance, but also for mitigating demand shocks and social inequities, such as shortages of personal protective equipment (PPE) and essential supplies. Here we leverage a massive e-commerce dataset comprising 150 billion online queries and purchase records from 94 million people to detect the traces of early awareness and public response during the cryptic transmission period of COVID-19. Our analysis focuses on identifying information gaps across different demographic cohorts, revealing significant social inequities and the role of cultural factors in shaping awareness diffusion and response behaviors. By modeling awareness diffusion in heterogeneous social networks and analyzing online shopping behavior, we uncover the evolving characteristics of vulnerable populations. Our findings expand the theoretical understanding of awareness spread and social inequality in the early stages of a pandemic, highlighting the critical importance of e-commerce data and social network data in effectively and timely addressing future pandemic challenges. We also provide actionable recommendations to better manage and mitigate dynamic social inequalities in public health crises.
format Preprint
id arxiv_https___arxiv_org_abs_2502_05622
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic
Jiang, Zhuoren
Liu, Xiaozhong
Kang, Yangyang
Sun, Changlong
Ahn, Yong-Yeol
Bollen, Johan
Social and Information Networks
The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of International Concern (PHEIC) on January 31, 2020. However, rumors of a "mysterious virus" had already been circulating in China in December 2019, possibly preceding the first confirmed COVID-19 case. Understanding how awareness about an emerging pandemic spreads through society is vital not only for enhancing disease surveillance, but also for mitigating demand shocks and social inequities, such as shortages of personal protective equipment (PPE) and essential supplies. Here we leverage a massive e-commerce dataset comprising 150 billion online queries and purchase records from 94 million people to detect the traces of early awareness and public response during the cryptic transmission period of COVID-19. Our analysis focuses on identifying information gaps across different demographic cohorts, revealing significant social inequities and the role of cultural factors in shaping awareness diffusion and response behaviors. By modeling awareness diffusion in heterogeneous social networks and analyzing online shopping behavior, we uncover the evolving characteristics of vulnerable populations. Our findings expand the theoretical understanding of awareness spread and social inequality in the early stages of a pandemic, highlighting the critical importance of e-commerce data and social network data in effectively and timely addressing future pandemic challenges. We also provide actionable recommendations to better manage and mitigate dynamic social inequalities in public health crises.
title Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic
topic Social and Information Networks
url https://arxiv.org/abs/2502.05622