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Population mobility change for controlling the transmission of COVID-19:mobile phone data analysis in nine cities of China 被引量:1

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摘要 Mobility restriction measures were the main tools to control the spread of COVID-19,but the extent to which the mobility has decreased remained unsure.We investigated the change in local population mobility and its correlation with COVID-19 infections,using 1185 billion aggregated mobile phone data records in nine main cities in China from 10 January to 24 February 2020.The mobility fell by as much as 79.57%compared to the normal days in 2020 and by 58.13%compared to the same lunar period in 2019.The daily incidence of COVID-19 was significantly correlated with local daily mobility(R2=0.77,P<0.001).The instantaneous reproduction number R(t)declined by 3%when mobility was reduced by 10%in the GLM analysis(P<0.05).Our study indicated that the decreased mobility level,driven by a mixture effect of holiday and public health interventions,could substantially reduce the transmission of COVID-19 to a low level.Our study could provide evidence of mobility restriction to control local transmission for other places facing COVID-19 outbreaks or potential next waves.
出处 《Geo-Spatial Information Science》 SCIE EI CSCD 2023年第4期627-641,共15页 地球空间信息科学学报(英文)
基金 financial support from National Natural Science Foundation of China[grant numbers 42171400,71961137003,82103945] Research on Prevention and Control of COVID-19 in Guangdong Education Department[grant number 2020KZDZX1171] Natural Science Foundation of Guangdong[grant number 2021A1515011324] Natural Resources of Guangdong[grant number 202325] Shenzhen Science and Technology Innovation Commission[grant number JCYJ20190808174209308].
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