Correlation Between Mobility and COVID-19 Cases in Surabaya City, Indonesia

Gholiqul Alawy, A. Wicaksono, A. Suharyanto
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Abstract

The number of COVID-19 cases in Surabaya was one of the highest in Indonesia at the beginning of the pandemic. This study aims to determine the mobility and activity patterns of the people of Surabaya during the COVID-19 pandemic and find a correlation between people mobility and the number of COVID-19 cases in Surabaya City using Pearson’s Coefficient of Correlation (PCC). The data used are mobility data at Gubeng Station, Purabaya Terminal, Waru Utama toll gate, and COVID-19 Community Mobility Reports. The mobility pattern of the people of Surabaya City in 2020 is divided into 5 phases, namely the normal condition phase (F0), the pandemic’s initial phase (F1), the PSBB phase (F2), the transition of AKB phase (F3), and the AKB phase (F4). This study indicates that the number of people in transit stations and residential areas has a high correlation with the number of COVID-19 cases. In addition, the type of mobility that has the most effect on increasing the number of COVID-19 cases is the mobility of bus transportation
印度尼西亚泗水市人员流动与COVID-19病例的相关性
在大流行开始时,泗水的COVID-19病例数是印度尼西亚最高的病例之一。本研究旨在确定新冠肺炎大流行期间泗水市人口的流动性和活动模式,并使用Pearson相关系数(PCC)找到泗水市人口流动性与新冠肺炎病例数之间的相关性。所使用的数据是Gubeng站、Purabaya终点站、Waru Utama收费站的交通数据和COVID-19社区交通报告。泗水市2020年人口流动模式分为5个阶段,即正常状态阶段(F0)、大流行初始阶段(F1)、PSBB阶段(F2)、AKB阶段过渡阶段(F3)和AKB阶段(F4)。该研究表明,交通站点和居民区的人数与COVID-19病例数高度相关。此外,对COVID-19病例数增加影响最大的交通方式是公交交通
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