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Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders

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Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders

B. Zhao, X. Wang, et al.

This exciting research led by Baining Zhao and colleagues explores spontaneous mobility changes in Shenzhen following the end of the 'Zero-COVID' policy. With a robust analysis of 148 million travel data points, the study reveals significant spatial discrepancies in mobility patterns, providing crucial insights for future public health strategies against infectious diseases.

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Playback language: English
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