Report
Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys
| العنوان: | Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys |
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| المؤلفون: | Koltai, Júlia, Vásárhelyi, Orsolya, Röst, Gergely, Karsai, Márton |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science Physics (Other) Statistics |
| مصطلحات موضوعية: | Physics - Physics and Society, Computer Science - Computers and Society, Computer Science - Social and Information Networks, Statistics - Applications |
| الوصف: | The unprecedented behavioural responses of societies have been evidently shaping the COVID-19 pandemic, yet it is a significant challenge to accurately monitor the continuously changing social mixing patterns in real-time. Contact matrices, usually stratified by age, summarise interaction motifs efficiently, but their collection relies on conventional representative survey techniques, which are expensive and slow to obtain. Here we report a data collection effort involving over $2.3\%$ of the Hungarian population to simultaneously record contact matrices through a longitudinal online and sequence of representative phone surveys. To correct non-representative biases characterising the online data, by using census data and the representative samples we develop a reconstruction method to provide a scalable, cheap, and flexible way to dynamically obtain closer-to-representative contact matrices. Our results demonstrate the potential of combined online-offline data collections to understand the changing behavioural responses determining the future evolution of the outbreak, and inform epidemic models with crucial data. Comment: 17 pages, 5 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2102.09021 |
| رقم الانضمام: | edsarx.2102.09021 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |