Literature DB >> 32499650

The online competition between pro- and anti-vaccination views.

Neil F Johnson1,2, Nicolas Velásquez3, Nicholas Johnson Restrepo3, Rhys Leahy3, Nicholas Gabriel4, Sara El Oud4, Minzhang Zheng5, Pedro Manrique6, Stefan Wuchty7, Yonatan Lupu8.   

Abstract

Distrust in scientific expertise1-14 is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks2-4, as happened for measles in 20195,6. Homemade remedies7,8 and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice9-11. There is a lack of understanding about how this distrust evolves at the system level13,14. Here we provide a map of the contention surrounding vaccines that has emerged from the global pool of around three billion Facebook users. Its core reveals a multi-sided landscape of unprecedented intricacy that involves nearly 100 million individuals partitioned into highly dynamic, interconnected clusters across cities, countries, continents and languages. Although smaller in overall size, anti-vaccination clusters manage to become highly entangled with undecided clusters in the main online network, whereas pro-vaccination clusters are more peripheral. Our theoretical framework reproduces the recent explosive growth in anti-vaccination views, and predicts that these views will dominate in a decade. Insights provided by this framework can inform new policies and approaches to interrupt this shift to negative views. Our results challenge the conventional thinking about undecided individuals in issues of contention surrounding health, shed light on other issues of contention such as climate change11, and highlight the key role of network cluster dynamics in multi-species ecologies15.

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Year:  2020        PMID: 32499650     DOI: 10.1038/s41586-020-2281-1

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  115 in total

1.  Covid-19 vaccine apps should deliver more to patients.

Authors:  Nabarun Dasgupta; Allison Lazard; John S Brownstein
Journal:  Lancet Digit Health       Date:  2021-02-25

Review 2.  How evolutionary behavioural sciences can help us understand behaviour in a pandemic.

Authors:  Megan Arnot; Eva Brandl; O L K Campbell; Yuan Chen; Juan Du; Mark Dyble; Emily H Emmott; Erhao Ge; Luke D W Kretschmer; Ruth Mace; Alberto J C Micheletti; Sarah Nila; Sarah Peacey; Gul Deniz Salali; Hanzhi Zhang
Journal:  Evol Med Public Health       Date:  2020-10-24

3.  Addressing the Challenges of Vaccine Hesitancy Broadly and Related to COVID-19 Vaccines.

Authors:  Marie T Brown; Constance A Benson
Journal:  Top Antivir Med       Date:  2022 Dec-Jan

4.  TIPICO XI: report of the first series and podcast on infectious diseases and vaccines (aTIPICO).

Authors:  Federico Martinón-Torres; Adolfo García-Sastre; Andrew J Pollard; Carlos Martín; Albert Osterhaus; Shamez N Ladhani; Octavio Ramilo; Jose Gómez Rial; Antonio Salas; F Xavier Bosch; María Martinón-Torres; Michael J Mina; James Cherry
Journal:  Hum Vaccin Immunother       Date:  2021-11-11       Impact factor: 3.452

5.  Addressing COVID-19 vaccine hesitancy: is official communication the key?

Authors:  Michaël Schwarzinger; Stéphane Luchini
Journal:  Lancet Public Health       Date:  2021-05-13

6.  Community Mitigation of COVID-19 and Portrayal of Testing on TikTok: Descriptive Study.

Authors:  Corey H Basch; Jan Mohlman; Joseph Fera; Hao Tang; Alessia Pellicane; Charles E Basch
Journal:  JMIR Public Health Surveill       Date:  2021-06-10

7.  A media intervention applying debunking versus non-debunking content to combat vaccine misinformation in elderly in the Netherlands: A digital randomised trial.

Authors:  Hamza Yousuf; Sander van der Linden; Luke Bredius; G A Ted van Essen; Govert Sweep; Zohar Preminger; Eric van Gorp; Erik Scherder; Jagat Narula; Leonard Hofstra
Journal:  EClinicalMedicine       Date:  2021-05-15

8.  Trajectories of COVID-19 vaccine intentions among U.S. adults: The role of race and ethnicity.

Authors:  Michael D Niño; Brittany N Hearne; Tianji Cai
Journal:  SSM Popul Health       Date:  2021-05-27

9.  Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study.

Authors:  Young Anna Argyris; Kafui Monu; Pang-Ning Tan; Colton Aarts; Fan Jiang; Kaleigh Anne Wiseley
Journal:  JMIR Public Health Surveill       Date:  2021-06-24

10.  Lack of Trust, Conspiracy Beliefs, and Social Media Use Predict COVID-19 Vaccine Hesitancy.

Authors:  Will Jennings; Gerry Stoker; Hannah Bunting; Viktor Orri Valgarðsson; Jennifer Gaskell; Daniel Devine; Lawrence McKay; Melinda C Mills
Journal:  Vaccines (Basel)       Date:  2021-06-03
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