As a result, only a handful of studies have analyzed to what extent mixing patterns by age have changed during the pandemic as compared to pre-pandemic conditions. However, this data does not provide any estimate of the heterogeneous mixing patterns by age groups or other descriptive measures needed to fully understand COVID-19 epidemiology. As shown by human mobility data (e.g., Google, Apple, Yandex, Weibo ), activity levels have dramatically changed over the course of the pandemic, compared to pre-pandemic conditions.
Those patterns, however, are representative of a pre-pandemic situation and have little in common with life during this pandemic. This behavioral change is a significant indicator of how mixing patterns have changed throughout the population during the pandemic.īefore the COVID-19 pandemic, many studies have focused on age-mixing patterns to measure the features of contacts between individuals in different age groups and to understand the spread of infectious diseases.
Since February 24, 2020, lockdowns were lifted in all provinces except for Hubei and Beijing however, many individuals were still hesitant to resume normal activities. As a result, provinces outside Hubei were able to quickly contain the spread of infection. China has adopted lockdowns and social distancing strategies to contain the spread of SARS-CoV-2. The COVID-19 pandemic has caused countries around the globe to adopt unprecedented measures to combat the spread of the disease. The Creative Commons Public Domain Dedication waiver ( ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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