Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic.

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES PNAS nexus Pub Date : 2025-02-14 eCollection Date: 2025-02-01 DOI:10.1093/pnasnexus/pgaf043
Zhuoren Jiang, Xiaozhong Liu, Yangyang Kang, Changlong Sun, Yong-Yeol Ahn, Johan Bollen
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Abstract

The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of International Concern on 2020 January 31. However, rumors of a "mysterious virus" had already been circulating in China in 2019 December, 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 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.

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世界卫生组织(WHO)于2020年1月31日宣布COVID-19疫情为国际关注的突发公共卫生事件。然而,关于 "神秘病毒 "的传言早在 2019 年 12 月就已在中国流传,这可能发生在首例 COVID-19 确诊病例之前。了解对新出现的流行病的认识是如何在社会中传播的,这不仅对加强疾病监测至关重要,而且对减轻需求冲击和社会不公平现象(如个人防护设备和基本用品短缺)也至关重要。在此,我们利用由 1,500 亿次在线查询和来自 9400 万人的购买记录组成的海量电子商务数据集来检测 COVID-19 在隐性传播期间的早期意识和公共反应的蛛丝马迹。我们的分析重点是确定不同人口群组之间的信息差距,揭示重大的社会不平等现象以及文化因素在形成意识扩散和应对行为中的作用。通过对异质社交网络中的意识传播进行建模和对网上购物行为进行分析,我们揭示了易感人群不断变化的特征。我们的研究结果拓展了对大流行病早期阶段意识传播和社会不平等的理论理解,强调了电子商务数据和社交网络数据在有效、及时地应对未来大流行病挑战方面的至关重要性。我们还为更好地管理和缓解公共卫生危机中的动态社会不平等现象提供了可行的建议。
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