#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis

Fung, Isaac Chun-Hai; Jackson, A.; Ahweyevu, Jennifer O.; Grizzle, Jordan H.; Yin, Jingjing; Tse, Zion Tsz Ho; Liang, Hai; Sekandi, Juliet N.; Fu, King‐Wa

doi:10.1016/j.aogh.2017.09.006

Cited by 17 publications

(12 citation statements)

References 12 publications

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“…Our prior research applied the same method to analyze Twitter users' responses to the WHO's declaration of Zika virus as a public health emergency of international concern, 10 as well as disease-specific contents on malaria, human immunodeficiency virus, tuberculosis, noncommunicable diseases and neglected tropical diseases in the context of Twitter #globalhealth conversations. 27 This study further demonstrates the feasibility of this approach. This is good news to many global health advocates, as their social media health communication efforts can be quantitatively measured and empirically evaluated, at least at the level of social media posts.…”

Section: Discussionsupporting

confidence: 55%

World Pneumonia Day 2011–2016: Twitter contents and retweets

Adnan

Yin

Jackson

et al. 2018

International Health

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Background: Twitter is used for World Pneumonia Day (WPD; November 12) communication. We evaluate if themes of #pneumonia tweets were associated with retweet frequency.Methods: A total of 28 181 original #pneumonia tweets were retrieved (21 November 2016), from which six subcorpora, 1 mo before and 1 mo after WPD 2011-2016, were extracted (n=6721). Underlying topics were identified via latent Dirichlet allocation and were manually coded into themes. The association of themes with retweet count was assessed via multivariable hurdle regression.Results: Compared with personal experience tweets, tweets that both raised awareness and promoted intervention were 2.62 times as likely to be retweeted (adjusted odds ratio [aOR] 2.62 [95% 1.79 to 3.85]) and if retweeted had 37% more retweets (adjusted prevalence ratio [aPR] 1.37 [95% CI 1.06 to 1.78]). Tweets that raised concerns about vaccine price were twice as likely to be retweeted (aOR 2.29 [95% CI 1.36 to 3.84]) and if retweeted, had double the retweet count (aPR 2.05 [95% CI 1.27 to 3.29]) of tweets sharing personal experience. Conclusions:The #pneumonia tweets that both raised awareness and promoted interventions and those discussing vaccine price were more likely to engage users than tweets about personal experience. These results help health professionals craft WPD messages that will engage the audience.

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Section: Discussionsupporting

confidence: 55%

World Pneumonia Day 2011–2016: Twitter contents and retweets

Adnan

Yin

Jackson

et al. 2018

International Health

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“…Fung et al ( 38 , 39 ) used Twitter and performed a content analysis of the Malaria-related tweets ( 38 ). The main topics were: prevention, control, and treatment, followed by advocacy, epidemiological information, and societal impact.…”

Section: Resultsmentioning

confidence: 99%

“…Also Pinterest and Instagram were exploited, however, only two studies were conducted and both of them performed a content analysis ( 39 , 53 ). Fung et al ( 38 , 39 ) analyzed more than 600 posts and photos on Facebook and Pinterest, respectively ( 39 ). The most popular topics were: prevention, pregnancy, and Zika-related deaths.…”

Section: Resultsmentioning

confidence: 99%

Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature

Gianfredi

Bragazzi

Nucci

et al. 2018

Front. Public Health

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AimAccording to the World Health Organization (WHO), communicable tropical and sub-tropical diseases occur solely, or mainly in the tropics, thriving in hot, and humid conditions. Some of these disorders termed as neglected tropical diseases are particularly overlooked. Communicable tropical/sub-tropical diseases represent a diverse group of communicable disorders occurring in 149 countries, favored by tropical and sub-tropical conditions, affecting more than one billion people and imposing a dramatic societal and economic burden.MethodsA systematic review of the extant scholarly literature was carried out, searching in PubMed/MEDLINE and Scopus. The search string used included proper keywords, like big data, nontraditional data sources, social media, social networks, infodemiology, infoveillance, novel data streams (NDS), digital epidemiology, digital behavior, Google Trends, Twitter, Facebook, YouTube, Instagram, Pinterest, Ebola, Zika, dengue, Chikungunya, Chagas, and the other neglected tropical diseases.Results47 original, observational studies were included in the current systematic review: 1 focused on Chikungunya, 6 on dengue, 19 on Ebola, 2 on Malaria, 1 on Mayaro virus, 2 on West Nile virus, and 16 on Zika. Fifteen were dedicated on developing and validating forecasting techniques for real-time monitoring of neglected tropical diseases, while the remaining studies investigated public reaction to infectious outbreaks. Most studies explored a single nontraditional data source, with Twitter being the most exploited tool (25 studies).ConclusionEven though some studies have shown the feasibility of utilizing NDS as an effective tool for predicting epidemic outbreaks and disseminating accurate, high-quality information concerning neglected tropical diseases, some gaps should be properly underlined. Out of the 47 articles included, only 7 were focusing on neglected tropical diseases, while all the other covered communicable tropical/sub-tropical diseases, and the main determinant of this unbalanced coverage seems to be the media impact and resonance. Furthermore, efforts in integrating diverse NDS should be made. As such, taking into account these limitations, further research in the field is needed.

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“…Google web searches have been seen as an attractive data source for empirical research in the past, since people search for diseases, symptoms, and medical treatments [48]. Fung et al [76] analyzed the online discussion of major diseases (including tuberculosis, malaria, and HIV) using hashtags. They, however, did not study the relation to scientific papers regarding these diseases.…”

Section: Discussionmentioning

confidence: 99%

Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors

2020

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We propose to use Twitter data as social-spatial sensors. This study deals with the question whether research papers on certain diseases are perceived by people in regions (worldwide) that are especially concerned by these diseases. Since (some) Twitter data contain location information, it is possible to spatially map the activity of Twitter users referring to certain papers (e.g., dealing with tuberculosis). The resulting maps reveal whether heavy activity on Twitter is correlated with large numbers of people having certain diseases. In this study, we focus on tuberculosis, human immunodeficiency virus (HIV), and malaria, since the World Health Organization ranks these diseases as the top three causes of death worldwide by a single infectious agent. The results of the social-spatial Twitter maps (and additionally performed regression models) reveal the usefulness of the proposed sensor approach. One receives an impression of how research papers on the diseases have been perceived by people in regions that are especially concerned by these diseases. Our study demonstrates a promising approach for using Twitter data for research evaluation purposes beyond simple counting of tweets.

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#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis

Cited by 17 publications

References 12 publications

World Pneumonia Day 2011–2016: Twitter contents and retweets

World Pneumonia Day 2011–2016: Twitter contents and retweets

Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature

Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors

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