2020
DOI: 10.4178/epih.e2020047
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Time variant reproductive number of COVID-19 in Seoul, Korea

Abstract: OBJECTIVES To estimate time-variant reproductive number (R t ) of coronavirus disease 19 based on either number of daily confirmed cases or their onset date to monitor effectiveness of quarantine policies. METHODS Using number of daily confirmed cases from January 23, 2020 to March 22, 2020 and their symptom onset date from the official website of the Seoul Metropolitan Government and the district office, we calculated R t … Show more

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Cited by 7 publications
(5 citation statements)
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“…(2) Contextual Value Contextual value of tourism refers to the perception and evaluation from visitors of environmental atmosphere and service attitudes of recreational areas [57,58]. The contextual value indicators include reputation [1,59,60], landscape environment [14], veg-etation coverage [12,15,26], architectural characteristics [13], service attitude [61], and climatic conditions [26].…”
Section: Experiential Valuementioning
confidence: 99%
“…(2) Contextual Value Contextual value of tourism refers to the perception and evaluation from visitors of environmental atmosphere and service attitudes of recreational areas [57,58]. The contextual value indicators include reputation [1,59,60], landscape environment [14], veg-etation coverage [12,15,26], architectural characteristics [13], service attitude [61], and climatic conditions [26].…”
Section: Experiential Valuementioning
confidence: 99%
“…Inequitable healthcare service utilization can result in health gaps among social classes. Elimination of the obstacles to equal medical service utilization can promote healthcare for all [ 1 ]. Inefficient delivery of healthcare services and the geographic and economic obstacles to greater accessibility are emerging as major challenges in providing equitable healthcare [ 2 , 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…Real-time reactive behavior challenges predictive modeling and public health responses, whether for COVID-19 or for Ebola, cholera, or any other epidemic disease (Chowell et al 2017 ; Viboud et al 2016 ; Wang et al 2020 ) Such behavior change can be difficult to quantify, given the multitude of different interactions (Kissler et al 2020 ) and the variations in risk caused by specific interactions (whether occurring during exercise, while mask-less, while indoor with poor ventilation or while yelling/singing). It is difficult to predict behavior change; it may be independent of, in response to, or may reflect a distrust of government mandates and scientific findings (Bonwitt et al 2018 ; Goodman 2020 ; Johnson et al 2020 ; Moon et al 2020 ; Thiam et al 2015 ). Real-time tools are needed to gauge the risk of case resurgences due to changes in behavior, especially if official risk mitigation mandates are discontinued early or trust in mandates erodes.…”
Section: Conclusion and Discussionmentioning
confidence: 99%