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  1. Article ; Online: Analyzing Social Media Messaging on Masks and Vaccines: A Case Study on Misinformation During the COVID-19 Pandemic.

    Trotochaud, Marc / Smith, Elizabeth / Hosangadi, Divya / Sell, Tara Kirk

    Disaster medicine and public health preparedness

    2023  , Page(s) 1–9

    Abstract: Misinformation and disinformation during infectious disease outbreaks can hinder public health responses. This analysis examines comments about masks and COVID-19 vaccines on Twitter during the first six months of the COVID-19 pandemic. We conducted a ... ...

    Abstract Misinformation and disinformation during infectious disease outbreaks can hinder public health responses. This analysis examines comments about masks and COVID-19 vaccines on Twitter during the first six months of the COVID-19 pandemic. We conducted a content analysis of 6,600 randomly selected English-language tweets, examining tweets for health, political, of societal frames; inclusion of true information, false information, partially true/misleading information, and/or opinion; political components; risk frames; and use of specific types of rumor. We found false and partially false information in 22% of tweets in which we were able to assess veracity. Tweets with misinformation were more likely to mention vaccines, be political in nature, and promote risk elevating messages (p<0.5). We also found false information about vaccines as early as January 2020, nearly a year before COVID-19 vaccines became widely available. These findings highlight a need for new policies and strategies aimed to counter harmful and misleading messaging.
    Language English
    Publishing date 2023-01-10
    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.2023.16
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Call for Special Feature Papers:

    Sell, Tara Kirk / Hosangadi, Divya / Trotochaud, Marc

    Health security

    2020  Volume 18, Issue 5, Page(s) 345–346

    Keywords covid19
    Language English
    Publishing date 2020-09-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2823049-8
    ISSN 2326-5108 ; 2326-5094
    ISSN (online) 2326-5108
    ISSN 2326-5094
    DOI 10.1089/hs.2020.29001.cfp
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Supporting Social Distancing for COVID-19 Mitigation Through Community-Based Volunteer Networks.

    Kobokovich, Amanda L / Hosangadi, Divya / Rivers, Caitlin

    American journal of public health

    2020  Volume 110, Issue 8, Page(s) 1167–1168

    MeSH term(s) Betacoronavirus ; COVID-19 ; Community Participation/methods ; Coronavirus Infections/prevention & control ; Hemorrhagic Fever, Ebola/prevention & control ; Humans ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; SARS-CoV-2 ; Social Isolation ; Volunteers
    Keywords covid19
    Language English
    Publishing date 2020-05-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 121100-6
    ISSN 1541-0048 ; 0090-0036 ; 0002-9572
    ISSN (online) 1541-0048
    ISSN 0090-0036 ; 0002-9572
    DOI 10.2105/AJPH.2020.305740
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak.

    Sell, Tara Kirk / Hosangadi, Divya / Trotochaud, Marc

    BMC public health

    2020  Volume 20, Issue 1, Page(s) 550

    Abstract: Background: The Ebola communication crisis of 2014 generated widespread fear and attention among Western news media, social media users, and members of the United States (US) public. Health communicators need more information on misinformation and the ... ...

    Abstract Background: The Ebola communication crisis of 2014 generated widespread fear and attention among Western news media, social media users, and members of the United States (US) public. Health communicators need more information on misinformation and the social media environment during a fear-inducing disease outbreak to improve communication practices. The purpose of this study was to describe the content of Ebola-related tweets with a specific focus on misinformation, political content, health related content, risk framing, and rumors.
    Methods: We examined tweets from a random 1% sample of all tweets published September 30th - October 30th, 2014, filtered for English-language tweets mentioning "Ebola" in the content or hashtag, that had at least 1 retweet (N = 72,775 tweets). A randomly selected subset of 3639 (5%) tweets were evaluated for inclusion. We analyzed the 3113 tweets that meet inclusion criteria using public health trained human coders to assess tweet characteristics (joke, opinion, discord), veracity (true, false, partially false), political context, risk frame, health context, Ebola specific messages, and rumors. We assessed the proportion of tweets with specific content using descriptive statistics and chi-squared tests.
    Results: Of non-joke tweets, 10% of Ebola-related tweets contained false or partially false information. Twenty-five percent were related to politics, 28% contained content that provoked reader response or promoted discord, 42% contained risk elevating messages and 72% were related to health. The most frequent rumor mentioned focused on government conspiracy. When comparing tweets with true information to tweets with misinformation, a greater percentage of tweets with misinformation were political in nature (36% vs 15%) and contained discord-inducing statements (45% vs 10%). Discord-inducing statements and political messages were both significantly more common in tweets containing misinformation compared with those without(p < 0.001).
    Conclusions: Results highlight the importance of anticipating politicization of disease outbreaks, and the need for policy makers and social media companies to build partnerships and develop response frameworks in advance of an event. While each public health event is different, our findings provide insight into the possible social media environment during a future epidemic and could help optimize potential public health communication strategies.
    MeSH term(s) Communication ; Disease Outbreaks ; Epidemics ; Fear ; Hemorrhagic Fever, Ebola/epidemiology ; Hemorrhagic Fever, Ebola/psychology ; Humans ; Mass Media ; Public Health ; Social Media/standards ; Social Media/statistics & numerical data ; United States/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-05-07
    Publishing country England
    Document type Journal Article
    ISSN 1471-2458
    ISSN (online) 1471-2458
    DOI 10.1186/s12889-020-08697-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Supporting use of thermostable vaccines during public health emergencies: Considerations and recommendations for the future.

    Hosangadi, Divya / Martin, Elena K / Watson, Matthew / Bruns, Richard / Connell, Nancy

    Vaccine

    2021  Volume 39, Issue 48, Page(s) 6972–6974

    MeSH term(s) Emergencies ; Humans ; Influenza Vaccines ; Public Health ; Vaccination ; Vaccines
    Chemical Substances Influenza Vaccines ; Vaccines
    Language English
    Publishing date 2021-11-09
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2021.10.065
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  6. Article ; Online: Improving Understanding of and Response to Infodemics During Public Health Emergencies.

    Sell, Tara Kirk / Hosangadi, Divya / Trotochaud, Marc / Purnat, Tina D / Nguyen, Tim / Briand, Sylvie

    Health security

    2021  Volume 19, Issue 1, Page(s) 1–2

    MeSH term(s) COVID-19 ; Communication ; Disease Outbreaks/prevention & control ; Humans ; Public Health/methods ; SARS-CoV-2
    Language English
    Publishing date 2021-02-10
    Publishing country United States
    Document type Introductory Journal Article
    ZDB-ID 2823049-8
    ISSN 2326-5108 ; 2326-5094
    ISSN (online) 2326-5108
    ISSN 2326-5094
    DOI 10.1089/hs.2021.0044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Misinformation and the US Ebola communication crisis

    Tara Kirk Sell / Divya Hosangadi / Marc Trotochaud

    BMC Public Health, Vol 20, Iss 1, Pp 1-

    analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak

    2020  Volume 10

    Abstract: Abstract Background The Ebola communication crisis of 2014 generated widespread fear and attention among Western news media, social media users, and members of the United States (US) public. Health communicators need more information on misinformation ... ...

    Abstract Abstract Background The Ebola communication crisis of 2014 generated widespread fear and attention among Western news media, social media users, and members of the United States (US) public. Health communicators need more information on misinformation and the social media environment during a fear-inducing disease outbreak to improve communication practices. The purpose of this study was to describe the content of Ebola-related tweets with a specific focus on misinformation, political content, health related content, risk framing, and rumors. Methods We examined tweets from a random 1% sample of all tweets published September 30th - October 30th, 2014, filtered for English-language tweets mentioning “Ebola” in the content or hashtag, that had at least 1 retweet (N = 72,775 tweets). A randomly selected subset of 3639 (5%) tweets were evaluated for inclusion. We analyzed the 3113 tweets that meet inclusion criteria using public health trained human coders to assess tweet characteristics (joke, opinion, discord), veracity (true, false, partially false), political context, risk frame, health context, Ebola specific messages, and rumors. We assessed the proportion of tweets with specific content using descriptive statistics and chi-squared tests. Results Of non-joke tweets, 10% of Ebola-related tweets contained false or partially false information. Twenty-five percent were related to politics, 28% contained content that provoked reader response or promoted discord, 42% contained risk elevating messages and 72% were related to health. The most frequent rumor mentioned focused on government conspiracy. When comparing tweets with true information to tweets with misinformation, a greater percentage of tweets with misinformation were political in nature (36% vs 15%) and contained discord-inducing statements (45% vs 10%). Discord-inducing statements and political messages were both significantly more common in tweets containing misinformation compared with those without(p < 0.001). Conclusions Results highlight the ...
    Keywords Misinformation ; Communication ; Ebola ; Twitter ; Social media ; Infectious disease ; Public aspects of medicine ; RA1-1270
    Subject code 070
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Considerations for using ETEC and Shigella disease burden estimates to guide vaccine development strategy

    Hosangadi, Divya / Smith, Peter G / Giersing, Birgitte K

    Vaccine. 2019 Nov. 28, v. 37, no. 50

    2019  

    Abstract: Enterotoxigenic E. coli (ETEC) and Shigella are enteropathogens causing significant global morbidity and mortality, particularly in low-income countries. No licensed vaccine exists for either pathogen, but candidates are in development, with the most ... ...

    Abstract Enterotoxigenic E. coli (ETEC) and Shigella are enteropathogens causing significant global morbidity and mortality, particularly in low-income countries. No licensed vaccine exists for either pathogen, but candidates are in development, with the most advanced candidates potentially approaching pivotal efficacy testing within the next few years.A positive policy recommendation for introduction of any vaccine, following licensure, depends on evidence of vaccine cost-effectiveness and impact on morbidity and mortality. The mortality estimates for these two pathogens have fluctuated over recent years, which has led to uncertainty in the assessment of their relative public health importance for use in low and middle-income countries.This paper summarizes the various ETEC and Shigella disease burden estimates, based on a review of current literature and informal consultations with leading stakeholders in enteric disease modelling. We discuss the factors that underpin the variability, including differences in the modelling methodology; diagnostic tools used to ascertain diarrheal etiology; epidemiological setting; the data that are available to incorporate; and absolute changes in the total number of diarrheal deaths over time. We consider the further work that will strengthen the evidence needed to support future decision making with respect to recommendations on the relative utility of these vaccines.
    Keywords Shigella ; burden of disease ; cost effectiveness ; decision making ; diagnostic techniques ; diarrhea ; enteropathogens ; enterotoxigenic Escherichia coli ; issues and policy ; models ; morbidity ; mortality ; public health ; stakeholders ; uncertainty ; vaccine development ; vaccines
    Language English
    Dates of publication 2019-1128
    Size p. 7372-7380.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2017.09.083
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Cologne/Königswinter

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    ab Jg. 2022: Lesesaal (EG)
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