Popular approval of COVID-19 restrictions is strongly correlated with vaccination rate
Most governments in the world have implemented restrictive measures to fight against the COVID-19 pandemic, such as quarantines, travel limitations, school closures, vaccination certificates, etc. Little is known, however, about people’s approval or disapproval of these restrictions and, importantly, about the factors that might contribute to approval. This is an important limitation since compliance with governmental restrictions is arguably key in preventing the spread of the COVID-19 pandemic.
Switzerland may be the only country where citizens voted (twice as of today) on COVID-19 restrictive measures by referendum, thereby providing a rare opportunity to assess the extent to which people approve COVID-19 restrictions. In particular, the second referendum of 28 November 2021, which concerned, amongst others, the introduction of a vaccination certificate, was highly debated in Switzerland. It might therefore be used as an indicator of people’s degree of approval related to COVID-19 measures perceived as controversial.
The referendum of 28 November 2021 was accepted by 62.01% (n = 2,222,373) of all registered voters, and in all the 26 cantons of Switzerland except in Schwyz (48.62% yes) and Appenzell Innerrhoden (44.22% yes), thereby showing that a majority of Swiss citizens support COVID-19-related measures. Furthermore, using data made publicly available by the Swiss Federal Statistical Office and Federal Office of Public Health, it is possible to investigate relationships between the outcome of this referendum and COVID-19 population variables, notably vaccination rate, which was 65.85% (fully vaccinated) of the population at the time of the referendum. In other words, it is possible to compute correlations between the percentage of voters who accepted the referendum and the percentage of people vaccinated in the population, and this across the 26 cantons. Doing this, we find that the percentage of people vaccinated strongly positively correlates with the percentage of people who approved the object of the referendum (r = 0.929, p <0.0001, fig. 1). In other words, the higher the vaccination rate, the higher the acceptance of the referendum and related COVID-19 measures.
Figure 1. Relationship between percentage of population fully vaccinated and percentage of population approving the COVID-19 referendum of 28 November 2021. Each point represents one of the 26 cantons of Switzerland. Switzerland overall is labelled as CH. The distribution of voting outcome and percent vaccinated is shown on the right and top of the figure, respectively.
Specifically, we find that an increase of 1 percentage point in vaccinated persons is associated with an increase of 1.46 percentage points in approval of the referendum (95% CI 1.22–1.71, R2 = 0.863). We note that introducing population size and number of registered voters as control variables in regression analysis does not significantly change the results. Likewise, no significant relationships were found when the number of COVID-19-related hospitalisations or deaths were used as predictor instead of the percentage of people vaccinated.
The observed relationship shows that popular approval or disapproval of COVID-19 restrictive measures may be strongly related to vaccination rate, with populations more vaccinated also more likely to support such measures. This may be explained by a range of factors (political, cultural, individual, psychological), which would be worth exploring in dedicated research.
First, there might simply be an adequation between vaccination behaviour and voting behaviour, one reflecting the other. This would not be surprising if we consider that vaccination is itself a measure to fight the spread of the pandemic. Hence people who are vaccinated should also be, on average, more likely to accept other (or more extended) measures. Second, both vaccination behaviour and voting behaviour might partly reflect political affiliation. In Switzerland, political parties make voting recommendations to their members for each referendum. For the referendum of 28 November 2021, all major political parties, except the Swiss People's Party (SVP), recommended voting yes. Taken together, the political parties who recommended a yes vote represent roughly 60 to 70% of all seats at the National Council (the lower house of the Federal Assembly). This figure is similar to the percentage of people who accepted the referendum (62.01%), and to the percentage of people who were fully vaccinated in the population at that time (65.85%). Third, the close relationship between vaccination rate and approval of COVID-19 measures might also be partly explained by cognitive dissonance dynamics. For example, we might consider that although people who are vaccinated are not necessarily approving more (or more extended) measures, they voted yes to maintain adequation between their vaccination behaviour and opinions (reflected in voting behaviour) concerning the best strategies to prevent the spread of the COVID-19 pandemic. We believe that this, however, is less likely.
The above are only possible explanations, and we cannot, of course, generalise the findings presented above to other countries or populations. For example, the range and stringency of governmental measures might also have an impact on popular approval. From this point of view, the Swiss government implemented fewer, and less restrictive measures than its neighbours (see a comparison over time here: https://tinyurl.com/t9ywkunc), which might have an influence on both vaccination rate and voting outcome. Finally, the COVID-19 incidence and related hospitalisations and deaths might, of course, have an impact on popular approval of restrictive measures, with countries more impacted by the COVID-19 arguably more likely to approve more restrictive measures. That said, the current finding shows for the first time that popular approval of COVID-19- related measures can strongly correlate with vaccinate rate in the population, as one factor amongst others that might explain compliance.
Jean-Luc Jucker, email@example.com