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# คำถาม คำตอบ ถูก / ผิด สาเหตุ/ขยายความ ทฤษฎีหลักคิด/อ้างอิงในการตอบ คะแนนเต็ม ให้คะแนน
1


What is the primary focus of the paper?

Case investigation and contact tracing for COVID-19

This is because the main point of the qualitative analysis of the experience of investigating and tracing people who have been exposed to covid nineteen is the investigation and tracing of people who have been exposed to covid nineteen

Qualitative data analysis means creating conclusions from data collected through various methods such as in depth interviews, group discussions, documents diaries, etc with data organised, find a pattern of relationships between data variables. In order to lead to an understanding of what is seen and is including changes in phenomena. Study, the basic principles of qualitative data analysis include one qualitative data analysis. That is a continuous data analysis process. 2 qualitative data analysis must adhere to the viewpoints or views of insiders 3. In data analysis, the researcher can determine the framework or theoretical concepts in advance. But it must be flexible in order to be consistent with the results from the research for the data must be organised. Initially, 5, the researcher must be the person who analysed this is the data himself. There are four importance steps of qualitative data analysis , one organizing data data organizing two coating data data coating three grouping , data data clustering and four finding relationships between groups of data to create a summary

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2


What is the purpose of case investigation in the context of COVID-19?

Identifying contacts of confirmed or suspected cases

This is because the primary purpose of COVID-19 case investigation is to identify contacts of confirmed or suspected cases.

Case investigation and contact tracing (CI/CT) are longstanding public health measures used to mitigate the spread of infectious diseases and were a critical part of the public health response to COVID-19 (Centers for Disease Control and Prevention [CDC], 2022a; World Health Organization (WHO), 2021). Case investigation involves interviewing someone who has confirmed or suspected COVID-19 to learn whom they may have exposed to the virus, eliciting their contacts, counseling them to monitor their symptoms, and recommending isolation (i.e., staying home and away from others). Contact tracing is the subsequent process of notifying close contacts of their potential exposure, referring them to testing, counseling them to monitor their symptoms, and encouraging them to quarantine (i.e., staying home and away from others after potential exposure) (CDC, 2022a).

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3


What is contact tracing, as defined in the paper?

Notifying close contacts of potential exposure

Because the contact tracing, as defined in the paper is Notifying Close Contacts Of Potential Exposure

Case investigation and contact tracing (CI/CT) are longstanding public health measures used to mitigate the spread of infectious diseases and were a critical part of the public health response to COVID-19 (Centers for Disease Control and Prevention [CDC], 2022a; World Health Organization (WHO), 2021). Case investigation involves interviewing someone who has confirmed or suspected COVID-19 to learn whom they may have exposed to the virus, eliciting their contacts, counseling them to monitor their symptoms, and recommending isolation (i.e., staying home and away from others). Contact tracing is the subsequent process of notifying close contacts of their potential exposure, referring them to testing, counseling them to monitor their symptoms, and encouraging them to quarantine (i.e., staying home and away from others after potential exposure) (CDC, 2022a).

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4


Why did health departments face challenges during the COVID-19 pandemic?

Inadequate funding

potential exposure) (CDC, 2022a). During the COVID-19 pandemic, health departments faced challenges and lacked resources to provide CI/CT to all cases and contacts, especially during surges of high COVID-19 incidence (Lash et al., 2021).

During the COVID-19 pandemic, health departments faced challenges and lacked resources to provide CI/CT to all cases and contacts, especially during surges of high COVID-19 incidence (Lash et al., 2021).

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5


Essay | Examine the variations in individuals' experiences with CI/CT for COVID-19 based on demographic characteristics. How do factors such as age, race, ethnicity, income, and political ideology influence these experiences?

individual knowledge of and responses to CI/CT varied based on demographic characteristics, such as age, race, ethnicity, income, and political ideology

Research has also revealed that individual knowledge of and responses to CI/CT varied based on demographic characteristics, such as age, race, ethnicity, income, and political ideology (McClain & Rainie, 2020). Moreover, CI/CT may have also been impacted based on access to COVID-19 testing. For example, although increased availability and use of self-tests beginning in 2021 let more people learn of their COVID-19 infection outside of a clinical or laboratory setting, these results were not routinely reported to health departments, removing a key step in the CI/CT process (Rader et al., 2022).

Experiences with COVID-19 case investigation and contact tracing: A qualitative analysis☆

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6


What is the primary concern raised by the authors regarding the state of knowledge in African urban ecology?

Geographic and ecological mismatches in research effort

We found 795 relevant papers from where data were collected and tested to understand geographic and ecological mismatches in research effort, allowing us to identify important knowledge gaps (e.g., taxonomy and scientific fields).

Status of urban ecology in Africa: A systematic review

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What significant predictors did the study investigate regarding the number of publications on African urban ecology?

Conservation status and size of ecoregions

the size and conservation status of ecoregions significantly predicted the number of publications, suggesting that research effort is driven by economic reasons and the relevance of conservation in African urban ecology. We need to account for these biases to advance our understanding of the impacts of urbanization on African biodiversity.

Status of urban ecology in Africa: A systematic review

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8


In terms of research scale, where were the majority of the studies conducted according to the study?

Local level

Studies were conducted in 72% of African countries, with South Africa alone accounting for almost 40% of all published papers. The studies were either conducted at the city (55%) or local/country (34%) level, suggesting the lack of transnational research collaboration. Interestingly, only country GDP and the size and conservation status of ecoregions significantly predicted the number of publications, suggesting that research effort is driven by economic reasons and the relevance of conservation in African urban ecology. We need to account for these biases to advance our understanding of the impacts of urbanization on African biodiversity

Status of urban ecology in Africa: A systematic review

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9


What methodological approach did the authors use to conduct the literature search in this study?

Systematic literature review

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Essay | Examine the key factors contributing to the lack of knowledge and research gaps in African urban ecology, as highlighted in the literature review. Discuss the potential implications of this knowledge gap and propose strategies to address and advance research in this field.

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11


According to the literature search, what are the four key formulations through which acceptability has been defined or conceptualized?

Diagnostic accuracy, user satisfaction, workflow optimization, integration feasibility

The literature has converged towards three overarching categories of factors underpinning AI acceptability including: user factors involving trust, system understanding, AI literacy, and technology receptiveness; system usage factors entailing value proposition, self-efficacy, burden, and workflow integration; and socio-organisational-cultural factors encompassing social influence, organisational readiness, ethicality, and perceived threat to professional identity. Yet, numerous studies have overlooked a meaningful subset of these factors that are integral to the use of medical AI systems such as the impact on clinical workflow practices, trust based on perceived risk and safety, and compatibility with the norms of medical professions. This is attributable to reliance on theoretical frameworks or ad-hoc approaches which do not explicitly account for healthcare-specific factors, the novelties of AI as software as a medical device (SaMD), and the nuances of human-AI interaction from the perspective of medical professionals rather than lay consumer or business end users.

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

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12


Which academic databases were included in the search strategy for the scoping review on the acceptability of AI in medical imaging domains?

Medline, Cochrane Library, Web of Science, Compendex, Scopus

A systematic literature search was performed across five academic databases including Medline, Cochrane Library, Web of Science, Compendex, and Scopus from January 2013 to September 2023. This was done in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. Overall, 31 articles were deemed appropriate for inclusion in the scoping review.

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

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What were the criteria for inclusion and exclusion of publications in the scoping review?

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

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How many studies were included in the scoping review, and which aspect of AI acceptability did the majority of these studies focus on?

31 studies; retrospective analysis

Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. Overall, 31 articles were deemed appropriate for inclusion in the scoping review.

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

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Essay | Explain the concept of acceptability in the context of AI in medical imaging. Outline the key dimensions through which acceptability has been conceptualized in past studies and why a scoping review considered multiple formulations. Additionally, discuss the importance of considering end-user perspectives in the evaluation of AI acceptability.

This is the first scoping review to survey the health informatics literature around the key factors influencing the acceptability of AI as a digital healthcare intervention in medical imaging contexts. The factors identified in this review suggest that existing theoretical frameworks used to study AI acceptability need to be modified to better capture the nuances of AI deployment in healthcare contexts where the user is a healthcare professional influenced by expert knowledge and disciplinary norms. Increasing AI acceptability among medical professionals will critically require designing human-centred AI systems which go beyond high algorithmic performance to consider accessibility to users with varying degrees of AI literacy, clinical workflow practices, the institutional and deployment context, and the cultural, ethical, and safety norms of healthcare professions. As investment into AI for healthcare increases, it would be valuable to conduct a systematic review and meta-analysis of the causal contribution of these factors to achieving high levels of AI acceptability among medical professionals.

This is the first scoping review to survey the health informatics literature around the key factors influencing the acceptability of AI as a digital healthcare intervention in medical imaging contexts. The factors identified in this review suggest that existing theoretical frameworks used to study AI acceptability need to be modified to better capture the nuances of AI deployment in healthcare contexts where the user is a healthcare professional influenced by expert knowledge and disciplinary norms. Increasing AI acceptability among medical professionals will critically require designing human-centred AI systems which go beyond high algorithmic performance to consider accessibility to users with varying degrees of AI literacy, clinical workflow practices, the institutional and deployment context, and the cultural, ethical, and safety norms of healthcare professions. As investment into AI for healthcare increases, it would be valuable to conduct a systematic review and meta-analysis of the causal contribution of these factors to achieving high levels of AI acceptability among medical professionals.

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

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16


What is workplace violence (WPV) in healthcare?

Threats and abuse against healthcare workers

According to World Health Organization (WHO), workplace violence (WPV) is a significant issue in healthcare. WPV can be defined as healthcare workers being abused, assaulted or threatened in work-related events which include but are not limited to travelling to and from workplace, and implicit or explicit conflict affecting their health, safety or wellness.

Workplace violence in medical radiation science: A systematic review

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17


According to the World Health Organization (WHO), what is the impact of WPV on healthcare workers?

Range from unnoticeable effects to fatality

Affected healthcare workers can experience from unnoticeable effects to fatality. Usually, these WPV incidents result in healthcare worker burnout, sleep disorder and stress, leading to reduction of their work performance as well as commitment and satisfaction. Hence, the WPV not only affects individual healthcare workers but also impacts on healthcare quality which in turn becomes academic, clinical, professional, ethical, societal, political and government concerns.

Workplace violence in medical radiation science: A systematic review

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Why is there a need for a systematic review on WPV in medical radiation science (MRS)?

Lack of understanding about WPV prevalence and risk factors in MRS

Workplace violence in medical radiation science: A systematic review

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What databases were used for the literature search in the systematic review on WPV in MRS?

Workplace violence in medical radiation science: A systematic review

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Essay | Workplace Violence (WPV) in Healthcare. Please explain the impacts and research gaps.

Workplace violence in medical radiation science: A systematic review

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