Information Disclosure Contents of the COVID-19 Data Dashboard Websites for South Korea, China, and Japan: A Comparative Study

‍Zhao, Bo; Kim, Mahyeon; Nam, Eun Woo

doi:10.3390/healthcare9111487

Cited by 6 publications

(5 citation statements)

References 41 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integrated framework can be applied and extended to determine the factors affecting COVID-19 tracing applications in other countries. Moreover, the findings of this study could be applied in other health-related mobile applications worldwide [66][67][68][69].…”

Section: Discussionmentioning

confidence: 89%

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Yuduang

Ong

Prasetyo

et al. 2022

IJERPH

View full text Add to dashboard Cite

COVID-19 contact-tracing mobile applications have been some of the most important tools during the COVID-19 pandemic. One preventive measure that has been incorporated to help reduce the virus spread is the strict implementation of utilizing a COVID-19 tracing application, such as the MorChana mobile application of Thailand. This study aimed to evaluate the factors affecting the actual usage of the MorChana mobile application. Through the integration of Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT2), latent variables such as performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), habit (HB), perceived risk (PCR), self-efficacy (SEF), privacy (PR), trust (TR), and understanding COVID-19 (U) were considered to measure the intention to use MorChana (IU) and the actual usage (AU) of the mobile application. This study considered 907 anonymous participants who voluntarily answered an online self-administered survey collected via convenience sampling. The results show that IU presented the highest significant effect on AU, followed by HB, HM, PR, FC, U, SEF, PE, EE, TR, and SI. This is evident due to the strict implementation of using mobile applications upon entering any area of the vicinity. Moreover, PCR was not seen to be a significant latent factor affecting AU. This study is the first to have evaluated mobile contact tracing in Thailand. The integrated framework can be applied and extended to determine factors affecting COVID-19 tracing applications in other countries. Moreover, the findings of this study could be applied to other health-related mobile applications worldwide.

show abstract

Section: Discussionmentioning

confidence: 89%

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Yuduang

Ong

Prasetyo

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Few studies have evaluated the quality of temporal and spatial COVID-19 data visualisation platforms. Zhao and colleagues [ 29 ] conducted a content analysis of dashboards from Japan, China, and South Korea, comparing the number of indicators in each dashboard, and finding the numbers of indicators to be broadly similar. However, they did not undertake a detailed evaluation of quality.…”

Section: Data and Visualisation Platform Qualitymentioning

confidence: 99%

Spatial and Temporal Data Visualisation for Mass Dissemination: Advances in the Era of COVID-19

Clements

2023

TropicalMed

View full text Add to dashboard Cite

The COVID-19 pandemic is the first major pandemic of the digital age and has been characterised by unprecedented public consumption of spatial and temporal disease data, which can enable greater transparency and accountability of governments to the public for their public health decisions. A variety of state and non-state actors have collated and presented maps, charts, and plots of data related to the pandemic in both static and dynamic formats. In particular, there has been a proliferation of online dashboards presenting data related to the pandemic. The sources and types of information displayed have evolved rapidly during the pandemic, with a general trend towards providing more specialised information pertinent to specific aspects of epidemiology or disease control, as opposed simply to disease and death notifications. Limited evaluation of the quality of COVID-19 data visualisation tools has been conducted and significant effort now needs to be spent on standardisation and quality improvement of national and international data visualisation systems including developing common indicators, data quality assurance mechanisms and visualisation approaches, and building compatible electronic systems for data collection and sharing. The increasing availability of disease data for public consumption presents challenges and opportunities for government, media organisations, academic research institutions, and the general public. A key challenge is ensuring consistency and effectiveness of public health messaging to ensure a coordinated response and public trust in intervention strategies. Capitalising on opportunities for greater government accountability for public health decision-making, and more effective mobilisation of public health interventions, is predicated on the provision of accurate and timely information.

show abstract

“…Larcker et al (2020) reported that COVID-19 disclosures most frequently took the form of disclaimers to forward-looking statements and were most frequently included in sections on risk and management discussion and analysis (MD&A). Zhao et al (2021) conducted a comparative study on website COVID-19 disclosure between South Korea, China, and Japan. There were numerous significant discrepancies between the major items published and the important indicators made public by each country.…”

Section: Covid-19 Disclosure Practicesmentioning

confidence: 99%

Preliminary Study of Covid-19 Disclosure in Annual Reports of Malaysian Energy Firms

Rahman,

Mohamad

2023

European Proceedings of Finance and Economics

View full text Add to dashboard Cite

The COVID-19 pandemic is an unprecedented event that creates tremendous uncertainty and generates a huge demand for information from investors. This paper aims at investigating the Coronavirus 2019 (COVID-19) disclosure practices of Malaysian public listed companies operating in the energy industry.The content analysis of annual reports is used to examine the COVID-19 disclosure practices of 28 energy companies for the year 2021. On average, these companies reported 57.39 sentences of information related to COVID-19, with a minimum and maximum score of 7 and 159 sentences, respectively. Most of the information is found in the Sustainability Statement and Management Discussion and Analysis (MD&A) sections. From the findings, there is a large variance in the information reported and companies tend to disclose qualitative information with a minimal level of quantitative information. To our best knowledge, this is one of the first kinds of studies undertaken to examine COVID-19 disclosure in the context of Malaysia.

show abstract

Information Disclosure Contents of the COVID-19 Data Dashboard Websites for South Korea, China, and Japan: A Comparative Study

Cited by 6 publications

References 41 publications

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Spatial and Temporal Data Visualisation for Mass Dissemination: Advances in the Era of COVID-19

Preliminary Study of Covid-19 Disclosure in Annual Reports of Malaysian Energy Firms

Contact Info

Product

Resources

About