Dr Ronan Lordan

Available to discuss new collaborations, science outreach or speaking opportunities. Feel free to make contact via email or twitter.



Institute for Translational Medicine and Therapeutics

Perelman School of Medicine, University of Pennsylvania



Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?


Journal article


Himel Mondal, Emil D. Parvanov, Rajeev K. Singla, R. Rayan, F. Nawaz, V. Ritschl, F. Eibensteiner, Chandragiri Siva Sai, M. Cenanovic, Hari Prasad Devkota, M. Hribersek, Ronita De, E. Klager, M. Kletečka-Pulker, S. Völkl-Kernstock, G. Khalid, R. Lordan, M. Găman, Bairong Shen, T. Stamm, H. Willschke, Atanas G. Atanasov
Frontiers in Medicine, 2022

Semantic Scholar DOI
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APA   Click to copy
Mondal, H., Parvanov, E. D., Singla, R. K., Rayan, R., Nawaz, F., Ritschl, V., … Atanasov, A. G. (2022). Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster? Frontiers in Medicine.


Chicago/Turabian   Click to copy
Mondal, Himel, Emil D. Parvanov, Rajeev K. Singla, R. Rayan, F. Nawaz, V. Ritschl, F. Eibensteiner, et al. “Twitter-Based Crowdsourcing: What Kind of Measures Can Help to End the COVID-19 Pandemic Faster?” Frontiers in Medicine (2022).


MLA   Click to copy
Mondal, Himel, et al. “Twitter-Based Crowdsourcing: What Kind of Measures Can Help to End the COVID-19 Pandemic Faster?” Frontiers in Medicine, 2022.


BibTeX   Click to copy

@article{himel2022a,
  title = {Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?},
  year = {2022},
  journal = {Frontiers in Medicine},
  author = {Mondal, Himel and Parvanov, Emil D. and Singla, Rajeev K. and Rayan, R. and Nawaz, F. and Ritschl, V. and Eibensteiner, F. and Sai, Chandragiri Siva and Cenanovic, M. and Devkota, Hari Prasad and Hribersek, M. and De, Ronita and Klager, E. and Kletečka-Pulker, M. and Völkl-Kernstock, S. and Khalid, G. and Lordan, R. and Găman, M. and Shen, Bairong and Stamm, T. and Willschke, H. and Atanasov, Atanas G.}
}

Abstract

Background Crowdsourcing is a low-cost, adaptable, and innovative method to collect ideas from numerous contributors with diverse backgrounds. Crowdsourcing from social media like Twitter can be used for generating ideas in a noticeably brief time based on contributions from globally distributed users. The world has been challenged by the COVID-19 pandemic in the last several years. Measures to combat the pandemic continue to evolve worldwide, and ideas and opinions on optimal counteraction strategies are of high interest. Objective This study aimed to validate the use of Twitter as a crowdsourcing platform in order to gain an understanding of public opinion on what measures can help to end the COVID-19 pandemic faster. Methods This cross-sectional study was conducted during the period from December 22, 2021, to February 4, 2022. Tweets were posted by accounts operated by the authors, asking “How to faster end the COVID-19 pandemic?” and encouraging the viewers to comment on measures that they perceive would be effective to achieve this goal. The ideas from the users' comments were collected and categorized into two major themes – personal and institutional measures. In the final stage of the campaign, a Twitter poll was conducted to get additional comments and to estimate which of the two groups of measures were perceived to be important amongst Twitter users. Results The crowdsourcing campaign generated seventeen suggested measures categorized into two major themes (personal and institutional) that received a total of 1,727 endorsements (supporting comments, retweets, and likes). The poll received a total of 325 votes with 58% of votes underscoring the importance of both personal and institutional measures, 20% favoring personal measures, 11% favoring institutional measures, and 11% of the votes given just out of curiosity to see the vote results. Conclusions Twitter was utilized successfully for crowdsourcing ideas on strategies how to end the COVID-19 pandemic faster. The results indicate that the Twitter community highly values the significance of both personal responsibility and institutional measures to counteract the pandemic. This study validates the use of Twitter as a primary tool that could be used for crowdsourcing ideas with healthcare significance.


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