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Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?
Mondal, Himel; Parvanov, Emil D; Singla, Rajeev K; Rayan, Rehab A; Nawaz, Faisal A; Ritschl, Valentin; Eibensteiner, Fabian; Siva Sai, Chandragiri; Cenanovic, Merisa; Devkota, Hari Prasad; Hribersek, Mojca; De, Ronita; Klager, Elisabeth; Kletecka-Pulker, Maria; Völkl-Kernstock, Sabine; Khalid, Garba M; Lordan, Ronan; Gaman, Mihnea-Alexandru; Shen, Bairong; Stamm, Tanja; Willschke, Harald; Atanasov, Atanas G.
  • Mondal H; Saheed Laxman Nayak Medical College and Hospital, Koraput, Odisha, India.
  • Parvanov ED; Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.
  • Singla RK; Department of Translational Stem Cell Biology, Research Institute of the Medical University of Varna, Varna, Bulgaria.
  • Rayan RA; Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
  • Nawaz FA; School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India.
  • Ritschl V; Department of Epidemiology, High Institute of Public Health, Alexandria University, Alexandria, Egypt.
  • Eibensteiner F; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
  • Siva Sai C; Section for Outcomes Research, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Cenanovic M; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Vienna, Austria.
  • Devkota HP; Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.
  • Hribersek M; Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.
  • De R; Amity Institute of Pharmacy, Amity University, Lucknow Campus, Lucknow, Uttar Pradesh, India.
  • Klager E; Independent Researcher, Sarajevo, Bosnia and Herzegovina.
  • Kletecka-Pulker M; Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.
  • Völkl-Kernstock S; Headquarters for Admissions and Education, Kumamoto University, Kumamoto, Japan.
  • Khalid GM; Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.
  • Lordan R; ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, West Bengal, India.
  • Gaman MA; Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.
  • Shen B; Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.
  • Stamm T; Institute for Ethics and Law in Medicine, University of Vienna, Vienna, Austria.
  • Willschke H; Ludwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.
  • Atanasov AG; Department of Child and Adolescent Psychiatry, Medical University Vienna, Vienna, Austria.
Front Med (Lausanne) ; 9: 961360, 2022.
Article in English | MEDLINE | ID: covidwho-2243436
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Front Med (Lausanne) Year: 2022 Document Type: Article Affiliation country: Fmed.2022.961360

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Front Med (Lausanne) Year: 2022 Document Type: Article Affiliation country: Fmed.2022.961360