The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 pandemic in Colombia, Ecuador, and El Salvador.

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
EPJ Data Science Pub Date : 2023-01-01 Epub Date: 2023-06-06 DOI:10.1140/epjds/s13688-023-00395-5
Nicolò Gozzi, Niccolò Comini, Nicola Perra
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引用次数: 2

Abstract

Adherence to the non-pharmaceutical interventions (NPIs) put in place to mitigate the spreading of infectious diseases is a multifaceted problem. Several factors, including socio-demographic and socio-economic attributes, can influence the perceived susceptibility and risk which are known to affect behavior. Furthermore, the adoption of NPIs is dependent upon the barriers, real or perceived, associated with their implementation. Here, we study the determinants of NPIs adherence during the first wave of the COVID-19 Pandemic in Colombia, Ecuador, and El Salvador. Analyses are performed at the level of municipalities and include socio-economic, socio-demographic, and epidemiological indicators. Furthermore, by leveraging a unique dataset comprising tens of millions of internet Speedtest® measurements from Ookla®, we investigate the quality of the digital infrastructure as a possible barrier to adoption. We use mobility changes provided by Meta as a proxy of adherence to NPIs and find a significant correlation between mobility drops and digital infrastructure quality. The relationship remains significant after controlling for several factors. This finding suggests that municipalities with better internet connectivity were able to afford higher mobility reductions. We also find that mobility reductions were more pronounced in larger, denser, and wealthier municipalities.

Supplementary information: The online version contains supplementary material available at 10.1140/epjds/s13688-023-00395-5.

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哥伦比亚、厄瓜多尔和萨尔瓦多在新冠肺炎大流行期间采用非药物干预措施和数字基础设施的作用。
遵守为减缓传染病传播而实施的非药物干预措施是一个多方面的问题。几个因素,包括社会人口和社会经济属性,可以影响感知的易感性和风险,已知这些因素会影响行为。此外,NPI的采用取决于与其实施相关的实际或感知障碍。在这里,我们研究了哥伦比亚、厄瓜多尔和萨尔瓦多第一波新冠肺炎大流行期间NPI依从性的决定因素。分析是在市政一级进行的,包括社会经济、社会人口和流行病学指标。此外,通过利用由Ookla®的数千万互联网Speedtest®测量数据组成的独特数据集,我们调查了数字基础设施的质量,认为这可能是采用的障碍。我们使用Meta提供的移动性变化作为遵守NPI的代理,并发现移动性下降与数字基础设施质量之间存在显著相关性。在控制了几个因素后,这种关系仍然很重要。这一发现表明,互联网连接更好的城市能够承受更高的流动性减少。我们还发现,在更大、更密集、更富裕的城市,流动性的减少更为明显。补充信息:在线版本包含补充材料,可访问10.1140/epjds/s1368-023-00395-5。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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