The p -values represented in Table 2 , show that mobility in transit stations, grocery and pharmacy, workplaces, and residential were highly significant for the lag of 2, indicating that alterations in transit stations, grocery and pharmacy, workplaces, and residential mobility influence changes in COVID-19 cases specifically with the lag of 2 weeks, whereas retail and recreation was highly significant at the lag of 3, but parks mobility at the lag of 1.
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The impact of public transportation on the transmission of COVID-19 in Rwanda.
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