LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 14

Search options

  1. Article ; Online: Decision-Making Prepandemic: University Curtailment of Academic Operations Closure Processes During the Novel Coronavirus Disease 2019 (COVID-19) Outbreak.

    Victor, Samjeris / Barnett, Daniel J / Hayanga, J W Awori / Pascual-Ferrá, Paola / Hayanga, Heather K

    Disaster medicine and public health preparedness

    2023  Volume 17, Page(s) e512

    Abstract: Objective: Through in-depth interviews, this study aimed to understand perspectives of key stakeholders regarding the decision to curtail academic operations in the setting of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak ... ...

    Abstract Objective: Through in-depth interviews, this study aimed to understand perspectives of key stakeholders regarding the decision to curtail academic operations in the setting of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak before the declaration of a pandemic on March 11, 2020, and how such processes may be optimized in the future to best protect public health and safety.
    Methods: Virtual interviews with key stakeholders from 4 academic institutions were conducted from September to December 2020 using a standardized interview question template. The interviews lasted approximately 30-45 minutes and each interview was recorded with permission. The interviews were then transcribed and reviewed for qualitative analysis.
    Results: The decision to curtail academic operations involved several common themes, such as discussing how institutions would control the outbreak and the process of transitioning to virtual learning and remote work. Universities were monitoring other universities' responses as well as evaluating the prevalence of cases nationally and globally. Risks and challenges identified included housing for international students, financial implications, and loss of academic productivity.
    Conclusions: The decision-making process may be optimized in the future by focusing on communication within a smaller committee, prioritizing epidemiology over fiscal implications, and embracing an openness to consider new strategies. Further research regarding this topic should be pursued to best protect public health and safety.
    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; SARS-CoV-2 ; Universities ; Disease Outbreaks/prevention & control ; Public Health
    Language English
    Publishing date 2023-10-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2023.164
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: A Multi-platform Approach to Monitoring Negative Dominance for COVID-19 Vaccine-Related Information Online.

    Pascual-Ferrá, Paola / Alperstein, Neil / Barnett, Daniel J

    Disaster medicine and public health preparedness

    2021  , Page(s) 1–24

    Abstract: Objective: The aim of this study was to test the appearance of negative dominance in COVID-19 vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events ... ...

    Abstract Objective: The aim of this study was to test the appearance of negative dominance in COVID-19 vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events related to the vaccine, that negative content would attract more engagement on social media than other vaccine-related posts, and posts referencing adverse events related to COVID-19 vaccination would have a higher average toxicity score.
    Methods: We collected data using Google Trends for search behavior, CrowdTangle for social media data, and Media Cloud for media stories, and compared them against the dates of key adverse events related to COVID-19. We used Communalytic to analyze the toxicity of social media posts by platform and topic.
    Results: While our first hypothesis was partially supported, with peaks in search behavior for image and YouTube videos driven by adverse events, we did not find negative dominance in other types of searches or patterns of attention by news media or on social media.
    Conclusion: We did not find evidence in our data to prove the negative dominance of adverse events related to COVID-19 vaccination on social media. Future studies should corroborate these findings and, if consistent, focus on explaining why this may be the case.
    Language English
    Publishing date 2021-05-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2021.136
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication.

    Pascual-Ferrá, Paola / Alperstein, Neil / Barnett, Daniel J

    Disaster medicine and public health preparedness

    2020  Volume 16, Issue 2, Page(s) 561–569

    Abstract: Objectives: The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might ... ...

    Abstract Objectives: The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might affect the successful dissemination by and adoption of public health messages from public health officials and health agencies.
    Methods: We focused on conversations on Twitter during 3 key communication events from late January to early June of 2020. We used Netlytic, a Web-based software that collects publicly available data from social media sites such as Twitter.
    Results: We found that the network of conversations around COVID-19 is highly decentralized, fragmented, and loosely connected; these characteristics can hinder the successful dissemination of public health messages in a network. Competing conversations and misinformation can hamper risk communication efforts in a way that imperil public health.
    Conclusions: Looking at basic metrics might create a misleading picture of the effectiveness of risk communication efforts on social media if not analyzed within the context of the larger network. Social network analysis of conversations on social media should be an integral part of how public health officials and agencies plan, monitor, and evaluate risk communication efforts.
    MeSH term(s) COVID-19/epidemiology ; Communication ; Humans ; Pandemics/prevention & control ; Social Media ; Social Network Analysis
    Keywords covid19
    Language English
    Publishing date 2020-09-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.347
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article: Correction: Social network analysis of COVID-19 vaccine YouTube videos in Odisha, India: mapping the channel network and analyzing comment sentiment.

    Alperstein, Neil / Pascual-Ferrá, Paola / Ganjoo, Rohini / Bhaktaram, Ananya / Burleson, Julia / Barnett, Daniel J / Jamison, Amelia M / Kluegel, Eleanor / Mohanty, Satyanarayan / Orton, Peter Z / Parida, Manoj / Rath, Sidharth / Rimal, Rajiv

    BMC proceedings

    2023  Volume 17, Issue 1, Page(s) 16

    Language English
    Publishing date 2023-07-13
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2411867-9
    ISSN 1753-6561
    ISSN 1753-6561
    DOI 10.1186/s12919-023-00267-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Article ; Online: Social Network Analysis of COVID-19 Public Discourse on Twitter

    Pascual-Ferrá, Paola / Alperstein, Neil / Barnett, Daniel J.

    Disaster Medicine and Public Health Preparedness

    Implications for Risk Communication

    2020  , Page(s) 1–26

    Abstract: Abstract Objective The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus pandemic (COVID-19). We examined different network properties that might affect the ... ...

    Abstract Abstract Objective The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus pandemic (COVID-19). We examined different network properties that might affect the successful dissemination by and adoption of public health messages from public health officials and health agencies. Methods We focused on conversations on Twitter during three key communication events from late January to early June of 2020. We used Netlytic, a free web-based software that collects publicly available data from social media sites such as Twitter. Results We found that the network of conversations around COVID-19 is highly decentralized, fragmented, and loosely connected; these characteristics can hinder the successful dissemination of public health messages in a network. Competing conversations and misinformation can hamper risk communication efforts in a way that imperil public health. Conclusion Looking at basic metrics might create a misleading picture of the effectiveness of risk communication efforts on social media if not analyzed within the context of the larger network. Social network analysis of conversations on social media should be an integral part of how public health officials and agencies plan, monitor, and evaluate risk communication efforts.
    Keywords Public Health, Environmental and Occupational Health ; covid19
    Language English
    Publisher Cambridge University Press (CUP)
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.347
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article: Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication

    Pascual-Ferrá, Paola / Alperstein, Neil / Barnett, Daniel J

    Disaster Med Public Health Prep

    Abstract: OBJECTIVES: The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might ... ...

    Abstract OBJECTIVES: The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might affect the successful dissemination by and adoption of public health messages from public health officials and health agencies. METHODS: We focused on conversations on Twitter during 3 key communication events from late January to early June of 2020. We used Netlytic, a Web-based software that collects publicly available data from social media sites such as Twitter. RESULTS: We found that the network of conversations around COVID-19 is highly decentralized, fragmented, and loosely connected; these characteristics can hinder the successful dissemination of public health messages in a network. Competing conversations and misinformation can hamper risk communication efforts in a way that imperil public health. CONCLUSIONS: Looking at basic metrics might create a misleading picture of the effectiveness of risk communication efforts on social media if not analyzed within the context of the larger network. Social network analysis of conversations on social media should be an integral part of how public health officials and agencies plan, monitor, and evaluate risk communication efforts.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #752617
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article: Social network analysis of COVID-19 vaccine YouTube videos in Odisha, India: mapping the channel network and analyzing comment sentiment.

    Alperstein, Neil / Pascual-Ferrá, Paola / Ganjoo, Rohini / Bhaktaram, Ananya / Burleson, Julia / Barnett, Daniel J / Jamison, Amelia M / Kluegel, Eleanor / Mohanty, Satyanarayan / Orton, Peter Z / Parida, Manoj / Rath, Sidharth / Rimal, Rajiv

    BMC proceedings

    2023  Volume 17, Issue Suppl 7, Page(s) 9

    Abstract: India has reported more than 35 million confirmed cases of COVID-19 and nearly half a million cumulative deaths. Although vaccination rates for the first vaccine dose are quite high, one-third of the population has not received a second shot. Due to its ... ...

    Abstract India has reported more than 35 million confirmed cases of COVID-19 and nearly half a million cumulative deaths. Although vaccination rates for the first vaccine dose are quite high, one-third of the population has not received a second shot. Due to its widespread use and popularity, social media can play a vital role in enhancing vaccine acceptance. This study in a real-world setting utilizes YouTube videos in Odisha, India where the platform has deep penetration among the 18-35 target population, and secondarily their family and peers. Two contrasting videos were launched on the YouTube platform to examine how those videos operate within the broader recommender and subscription systems that determine the audience reach. Video analytics, algorithms for recommended videos, visual representation of connections created, centrality between the networks, and comment analysis was conducted. The results indicate that the video with a non-humorous tone and collectivistic appeal delivered by a female protagonist performed best with regard to views and time spent watching the videos. The results are of significance to health communicators who seek to better understand the platform mechanisms that determine the spread of videos and measures of viewer reactions based on viewer sentiment.
    Language English
    Publishing date 2023-07-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2411867-9
    ISSN 1753-6561
    ISSN 1753-6561
    DOI 10.1186/s12919-023-00260-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article ; Online: Correction

    Neil Alperstein / Paola Pascual-Ferrá / Rohini Ganjoo / Ananya Bhaktaram / Julia Burleson / Daniel J. Barnett / Amelia M. Jamison / Eleanor Kluegel / Satyanarayan Mohanty / Peter Z. Orton / Manoj Parida / Sidharth Rath / Rajiv Rimal

    BMC Proceedings, Vol 17, Iss 1, Pp 1-

    Social network analysis of COVID-19 vaccine YouTube videos in Odisha, India: mapping the channel network and analyzing comment sentiment

    2023  Volume 1

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Article ; Online: Social network analysis of COVID-19 vaccine YouTube videos in Odisha, India

    Neil Alperstein / Paola Pascual-Ferrá / Rohini Ganjoo / Ananya Bhaktaram / Julia Burleson / Daniel J. Barnett / Amelia M. Jamison / Eleanor Kluegel / Satyanarayan Mohanty / Peter Z. Orton / Manoj Parida / Sidharth Rath / Rajiv Rimal

    BMC Proceedings, Vol 17, Iss S7, Pp 1-

    mapping the channel network and analyzing comment sentiment

    2023  Volume 14

    Abstract: Abstract India has reported more than 35 million confirmed cases of COVID-19 and nearly half a million cumulative deaths. Although vaccination rates for the first vaccine dose are quite high, one-third of the population has not received a second shot. ... ...

    Abstract Abstract India has reported more than 35 million confirmed cases of COVID-19 and nearly half a million cumulative deaths. Although vaccination rates for the first vaccine dose are quite high, one-third of the population has not received a second shot. Due to its widespread use and popularity, social media can play a vital role in enhancing vaccine acceptance. This study in a real-world setting utilizes YouTube videos in Odisha, India where the platform has deep penetration among the 18–35 target population, and secondarily their family and peers. Two contrasting videos were launched on the YouTube platform to examine how those videos operate within the broader recommender and subscription systems that determine the audience reach. Video analytics, algorithms for recommended videos, visual representation of connections created, centrality between the networks, and comment analysis was conducted. The results indicate that the video with a non-humorous tone and collectivistic appeal delivered by a female protagonist performed best with regard to views and time spent watching the videos. The results are of significance to health communicators who seek to better understand the platform mechanisms that determine the spread of videos and measures of viewer reactions based on viewer sentiment.
    Keywords COVID-19 vaccine acceptance ; Message design ; Social network analysis ; Sentiment analysis ; YouTube recommender system ; Medicine ; R ; Science ; Q
    Subject code 020
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Article ; Online: Production of vaccination videos in India: learnings from a science-art partnership.

    Burleson, Julia / Ganjoo, Rohini / Rath, Sidharth / Rath, Nilambar / Bhaktaram, Ananya / Jamison, Amelia M / Alperstein, Neil / Pascual-Ferra, Paola / Barnett, Daniel J / Mohanty, Satyanarayan / Parida, Manoj / Orton, Peter / Kluegel, Eleanor / Rimal, Rajiv N

    BMC public health

    2023  Volume 23, Issue 1, Page(s) 736

    Abstract: Background: Cross-cultural communication, often conceptualized along culture and language dimensions, is an important issue for collaborative teams that include both scientists and artists. Such teams must balance the standardization needs of rigorous ... ...

    Abstract Background: Cross-cultural communication, often conceptualized along culture and language dimensions, is an important issue for collaborative teams that include both scientists and artists. Such teams must balance the standardization needs of rigorous scientific methods, on the one hand, with openness for artistic creativity, on the other. The scientific literature does not provide clear guidance on how to structure such collaborations.
    Discussion: We created eight videos manipulating the type of appeal, message tone, and gender of the vaccine promoter in a 2 × 2 × 2 between-subjects experiment. The four stages of the filmmaking process were 1) conceptualizing filmmaking and script writing through a scientific lens, 2) pilot testing and finalizing the script, 3) video production and editing, and 4) dissemination. We describe the process and learnings from a collaboration that included filmmakers, researchers, and vaccine experts from India and the United States in producing, disseminating, and evaluating videos that promoted vaccine uptake in Odisha, India.
    Conclusions: When projects require close collaborations between scientists and artists, committing to a unified vision is essential for facilitating open, bidirectional communication and building trust between the partners. Clearly denoting research boundaries ensures that the scientific needs of the project are met while simultaneously welcoming space for the filmmakers' creativity, fostering a sense of ownership, and enhancing the final product.
    MeSH term(s) United States ; Humans ; Learning ; Communication ; Language ; Art ; Vaccination
    Language English
    Publishing date 2023-04-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-023-15607-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top