Governmental non-pharmaceutical interventions (NPIs) and concerns regarding COVID-19 infection greatly affected population mobility during the COVID-19 pandemic. This study analyzed the effect of the COVID-19 pandemic on the business operations of Taiwan High Speed Rail (THSR) and 7-Eleven stores in Taiwan. We collected data from COVID-19 Mobility Reports published by Google, the Our World in Data website, and the monthly financial reports of THSR and 7-Eleven stores. The findings revealed that the mean population mobility at transit stations decreased by over 50% during the pandemic. Changes in population mobility were significantly associated with the reproduction rate (7-day rolling average) and with the daily number of new confirmed cases per million people (7-day rolling average). The operating income of THSR was significantly associated with the decrease in population mobility at transit stations. The monthly and annual operating income of THSR in 2020, 2021, and 2022 (during the pandemic) were significantly lower than those in 2019 (before the pandemic). THSR's monthly operating income was lowest compared with the 2019 value during the Alpha variant period (89.89% lower). No significant correlation was noted between the operating income of 7-Eleven stores and population mobility. Moreover, no significant differences were discovered between the monthly and annual operating incomes of 7-Eleven stores in 2019 and those in 2020, 2021, and 2022. Implementation of the policy of coexistence with the virus by the Taiwanese government began in May 2022, and from May 2022 to October 2022, the monthly income of 7-Eleven stores was higher than that in 2019 whereas the monthly income of THSR began lower than and then slowly increased to the level in 2019. In conclusion, the operating performance of THSR was closely related to population mobility and government NPIs, whereas the operating performance of 7-Eleven stores was less strongly affected by NPIs. These stores increased their operating income by providing e-commerce and delivery services; they thus remained popular in the community.
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http://dx.doi.org/10.1038/s41598-023-34111-0 | DOI Listing |
J Am Heart Assoc
October 2024
Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine Chang Gung University Taoyuan Taiwan.
Background: Survival following an out-of-hospital cardiac arrest depends on prompt defibrillation. Despite the efforts made to install automated external defibrillators (AEDs) in crowded areas, their usage rate remains suboptimal. This study evaluated the efficiency of installing AEDs at key landmarks in Taoyuan City to enhance accessibility and usage.
View Article and Find Full Text PDFSci Rep
May 2024
Department of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8503, Japan.
The convenience store industry in Japan holds immense significance, making a thorough comprehension of customer purchase behaviour invaluable for companies aiming to gain insights into their customer base. In this paper, we propose a novel application of a Markov network model to simulate purchases guided by stopping probabilities calculated from real data. Each node in the Markov network represents different product categories available for purchase.
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April 2023
Department of Respiratory Therapy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, 833, Taiwan.
Comput Math Methods Med
March 2015
Department of Geography, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan ; Infectious Disease Research and Education Center (DOH-NTU), No. 17, Hsu-Chu Road, Taipei 100, Taiwan.
Immediate treatment with an automated external defibrillator (AED) increases out-of-hospital cardiac arrest (OHCA) patient survival potential. While considerable attention has been given to determining optimal public AED locations, spatial and temporal factors such as time of day and distance from emergency medical services (EMSs) are understudied. Here we describe a geocomputational genetic algorithm with a new stirring operator (GANSO) that considers spatial and temporal cardiac arrest occurrence factors when assessing the feasibility of using Taipei 7-Eleven stores as installation locations for AEDs.
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