Prior studies of strategic voting in multi-party elections potentially overestimate the extent of it by counting erroneously votes cast under different motivations as strategic votes. We propose a method that corrects some of this overestimation by distinguishing between strategic voting (voting for a candidate other than the most preferred one to reduce the likelihood of an election victory by a third candidate that is disliked even more) and the votes cast under the "bandwagon effect" (voting for the expected winner instead of the most preferred party to conform to the majority or to be on the winning side). Our method follows from the observation that a vote cannot be strategic unless the voter believes that it will affect the outcome of the election with a non-zero probability, while a vote cast under the bandwagon effect requires no such belief.Employing survey data that include the respondent"s assessment of the importance of his vote, we illustrate this method by estimating the extent of strategic voting in the 2005 UK general election. The estimated extent of strategic voting (4.22%) is strictly less than self-reported strategic voting (6.94%), but the discrepancy cannot be attributed in a statistically significant way to the bandwagon effect, suggesting that motivations other than those identified in the literature may be at work.

Dengue has long been a public health problem in tropical and subtropical countries. In 2015, a dengue outbreak occurred in Taiwan, where 43,784 cases were reported. This study aims to assess the impact of dengue on Southern Taiwan’s economic growth according to the economic growth model-based regression approach recommended by the World Health Organization (WHO). Herein, annual data from Southern Taiwan on the number of dengue cases, income growth, and demographics from 2010–2015 were analyzed. The percentage of reduction of the average income per capita in 2015 due to the dengue outbreak was estimated. Dengue was determined to have a negative linear economic impact on Southern Taiwan’s economic growth. In particular, a reduction of 0.26% in the average income per capita was estimated in Southern Taiwan due to the 2015 outbreak. If the model is applied alongside other dengue outbreak forecast models, then the forecast for economic reduction due to a future dengue outbreak may also be estimated. Prevention and recovery policies may subsequently be decided upon based on not only the number of dengue cases but also the degree of economic burden resulting from an outbreak.

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Background The World Health Organization has raised concerns that vaccinated people may reduce physical and social distancing more than necessary. With imperfect vaccine protection and the lifting of mobility restrictions, understanding how human mobility responded to vaccination and its potential consequence is critical. We estimated vaccination-induced mobility (VM) and examined whether it attenuates the effect of COVID-19 vaccination on controlling case growth. Methods We collected a longitudinal data set of 107 countries between 15 February 2020 and 6 February 2022 from Google COVID-19 Community Mobility Reports, the Oxford COVID-19 Government Response Tracker, Our World in Data, and World Development Indicators. We measured mobility in four categories of location: retail and recreational places, transit stations, grocery stores and pharmacies, and workplaces. We applied panel data models to address unobserved country characteristics and used Gelbach decomposition to evaluate the extent to which VM has offset vaccination effectiveness. Results Across locations, a 10-percentage-point (pp) increase in vaccine coverage was associated with a 1.4-4.3 pp increase in mobility ( P < 0.001). VM was greater in lower-income countries (up to 7.9 pps; 95% confidence interval (CI) = 5.3 to 10.5, P < 0.001) and in earlier stages of vaccine rollouts (up to 19.2 pps; 95% CI = 15.1 to 23.2%, P < 0.001). VM decreased the effectiveness of vaccines in controlling case growth by 33.4% in retail and recreation places ( P < 0.001), 26.4% in transit stations ( P < 0.001), and 15.4% in grocery stores and pharmacies ( P = 0.002). Conclusions VM provides support for the Peltzman effect; it attenuates but does not completely counter vaccine effectiveness. Our study findings suggest strategies for mitigating the unintended consequences of VM, including reducing short-term mobility responses after vaccination, prioritizing mobility in grocery-type places and workplaces, and accelerating rollouts at earlier stages of vaccination, especially in lower-income countries.