The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology 论文

2020Nature Communications引用 435顶会
COVID-19 epidemiological studiesData-Driven Disease SurveillanceCOVID-19 Digital Contact Tracing

详细信息

发表期刊/会议
Nature Communications
发表日期
2020-09-30
发表年份
2020

关键词

COVID-19 epidemiological studiesData-Driven Disease SurveillanceCOVID-19 Digital Contact Tracing

摘要

The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of the use of mobile phone data in outbreak response. Mobile phone data have been proposed to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of spatiotemporal spread, and to support contact tracing efforts. While these data may be an important part of COVID-19 response, their use must be considered alongside a careful understanding of the behaviors and populations they capture. Here, we review the different applications for mobile phone data in guiding and evaluating COVID-19 response, the relevance of these applications for infectious disease transmission and control, and potential sources and implications of selection bias in mobile phone data. We also discuss best practices and potential pitfalls for directly integrating the collection, analysis, and interpretation of these data into public health decision making.

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