Background. In Italy, in recent years, vaccination coverage for key immunizations as MMR has been declining to worryingly low levels. In 2017, the Italian Gov't expanded the number of mandatory immunizations introducing penalties to unvaccinated children's families. During the 2018 general elections campaign, immunization policy entered the political debate with the Gov't in charge blaming oppositions for fuelling vaccine scepticism. A new Gov't established in 2018 temporarily relaxed penalties. Objectives and Methods. Using a sentiment analysis on tweets posted in Italian during 2018, we aimed to: (i) characterize the temporal flow of vaccines communication on Twitter (ii) evaluate the polarity of vaccination opinions and usefulness of Twitter data to estimate vaccination parameters, and (iii) investigate whether the contrasting announcements at the highest political level might have originated disorientation amongst the Italian public. Results. Vaccine-relevant tweeters interactions peaked in response to main political events. Out of retained tweets, 70.0% resulted favourable to vaccination, 16.5% unfavourable, and 13.6% undecided, respectively. The smoothed time series of polarity proportions exhibit frequent large changes in the favourable proportion, enhanced by an up and down trend synchronized with the switch between gov't suggesting evidence of disorientation among the public. Conclusion. The reported evidence of disorientation documents that critical immunization topics, should never be used for political consensus. This is especially true given the increasing role of online social media as information source, which might yield to social pressures eventually harmful for vaccine uptake, and is worsened by the lack of institutional presence on Twitter, calling for efforts to contrast misinformation and the ensuing spread of hesitancy.
翻译:近些年来,意大利政府扩大了强制性免疫,对未接种儿童家庭实施惩罚。 在2018年大选运动期间,免疫政策进入政治辩论,政府指责反对煽动疫苗怀疑。 2018年建立了一项新的政府,暂时放松了处罚。目标和方法。在2018年张贴在意大利的推文上,我们利用了情绪分析,目的是:(一) 描述Twitter上疫苗传播的时间流;(二) 评价Twitter数据对估计接种参数的极性以及利用Twitter数据对估计接种参数的用处;(三) 调查在2018年大选运动期间,免疫政策进入了政治辩论,政府指责反对派煽动疫苗怀疑。2018年建立了一个新的政府,暂时放松了处罚。 目标和方法。 我们利用2018年在意大利张贴的推文上的情绪分析,目的是:(二) 评估Twitter上疫苗传播的时间比例的短暂流动;(二) 评价Twitter数据对估计接种参数的极性作用和用处的极差性,以及(三) 调查最高政治层面的对比是否会引起意大利公众的偏差性公告的偏差。 结果显示, 与准确性指标,这可能会导致准确性信息的转变。