ArticleHuman vaccines & immunotherapeutics2020
Facebook HPV vaccine campaign: insights from Brazil.
Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Barriers to HPV Vaccination in Brazil: A Systematic Review.Asian Pacific journal of cancer prevention : APJCP · 2025Pooled it
- A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Social Media-Based Interventions for Health Behavior Change in Low- and Middle-Income Countries: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users.NPJ digital medicine · 2024Article
- Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore.NPJ digital medicine · 2023Article
- An Analysis of Factors Shaping Vaccine Attitudes and Behaviours in a Low-Trust Society Based on Structural Equation Modelling-The Case of Poland's Vaccination Programme against COVID-19.International journal of environmental research and public health · 2022Article
- Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018.Human vaccines & immunotherapeutics · 2022Article
- Young adults' preferences for influenza vaccination campaign messages: Implications for COVID-19 vaccine intervention design and development.Brain, behavior, & immunity - health · 2021Article
- Cross-Protective IgG and IgA Antibodies against Oncogenic and Non-Oncogenic HPV Genotypes.Asian Pacific journal of cancer prevention : APJCP · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The vaccination coverage rate has fallen in recent years in Brazil. Although Brazil is a country influenced by social networking and analysis of social media generated content has emerged as an important area of research, this is the first study to investigate how the HPV vaccine is portrayed on the Facebook page of the Ministry of Health and to interpret the user-generated content. Our work evaluated the posts published by the Ministry of Health as well as posted comments, shares and reactions of the population related to the HPV vaccination campaign on the specific Facebook page between January and July 2018.The data were analyzed in three stages: (i) overview of published posts; (ii) analysis of posted comments; and (iii) sub-group analysis of posted comments. This study makes important contributions from the point of view of using social media as a public health communication tool.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.