key: cord-0928097-psrbajs8 authors: Montalti, Marco; Di Valerio, Zeno; Rallo, Flavia; Squillace, Lorena; Costantino, Claudio; Tomasello, Francesco; Mauro, Giulia Letizia; Stillo, Michela; Perrone, Paola; Resi, Davide; Gori, Davide; Vitale, Francesco; Fantini, Maria Pia title: Attitudes toward the SARS-CoV-2 and Influenza Vaccination in the Metropolitan Cities of Bologna and Palermo, Italy date: 2021-10-18 journal: Vaccines (Basel) DOI: 10.3390/vaccines9101200 sha: 8036ba45485861e87c0114e1cbba3d988e8e60f3 doc_id: 928097 cord_uid: psrbajs8 Vaccine hesitancy (VH) is known to play a relevant role in thwarting the efforts toward reaching satisfactory influenza vaccination coverage, and has caused similar difficulties during the COVID-19 pandemic. This study aims to describe the phenomenon and produce insights on the reasons behind VH. A survey was administered between December 2020 and February 2021 to adults living in the cities of Bologna and Palermo. Of the 443 subjects enrolled, 47.3% were likely to get the influenza vaccination, while 75.6% were willing to receive the COVID-19 vaccination. The most frequent determinants that motivated the willingness to get the COVID-19 vaccine were trust in the safety of vaccines and belief that the vaccine is an effective tool. As for people’s unwillingness to be vaccinated, being exposed to information that produced doubts about the vaccine and lack of trust in a newly developed vaccine were the most frequently involved determinants. Statistically significant positive associations were found between the willingness to be vaccinated and postgraduate education and the propensity towards influenza vaccination. A negative association with being over 40 years old and of female gender was also found. These results might have an impact in better understanding individual reasons behind VH, identifying which categories are more exposed to it and which strategies should be implemented. Italy has been one of the countries most heavily hit by the pandemic. Since 21 February 2020, when the first SARS-CoV-2 infection was detected, the National Health Service has faced increasing pressure, with 4,700,316 positive cases and 131,301 COVID-19 deaths as of 13 October 2021 [1] . In Italy, public health management is shared between the state and twenty regions, which are responsible for the organization and administration of health services. The regions are autonomous territorial entities that differ in demographics, economic development, infrastructure, and even health spending, with a clear north-south divide [2] . The Emilia-Romagna region (northern Italy) and the Sicily region (southern Italy) faced enormous challenges in the context of the COVID-19 pandemic, with 387,099 and 240,535 positive cases reported to date, respectively, and it was evident in both cases that the regional capitals (Bologna and Palermo) were the territories most affected by the pandemic [3, 4] . On 27 December 2020, the government and regions promoted a COVID-19 vaccination campaign by first immunizing HCWs and all personnel working in healthcare settings. From February onward, the campaign targeted elderly people over 80 and people with comorbidities and gradually expanded to increasingly younger age groups [5] . Even in the context of the COVID-19 vaccination campaign, vaccine hesitancy (VH), listed by the World Health Organization (WHO) as one of the ten global health threats of 2019, [6] and defined as "delayed acceptance or refusal of vaccination despite the availability of vaccine services" [7] , played a key role. VH varies in form and intensity depending on where and when it occurs and which vaccine is affected, as confirmed by several studies and reviews on the topic [8] [9] [10] . Another key issue addressed within the WHO Global Health Threats report concerns the need to achieve adequate influenza vaccination coverage [6] , a goal that has been viewed now more than ever as a public health priority [11] . In Italy, over the last five years, vaccination coverage levels against influenza in the over-65 population show a progressive increase, starting from 49.9% in 2015/2016 to 65.3% during the last year [12] . However, the goals are still distant, considering that in order to significantly reduce morbidity, complications and mortality due to influenza, high vaccination coverage must be achieved in the target population groups, particularly in the elderly (over 65 years of age) and in high-risk individuals of all ages [12] . Understanding the factors limiting a successful reaching of population vaccination coverage for these vaccines is crucial to suggesting implementation strategies for the dual epidemics' vaccination campaigns. The aim of this study was to investigate the potential determinants of both COVID-19 and influenza VH in the metropolitan cities of Bologna (Northern Italy) and Palermo (Southern Italy), and to investigate the previous influenza VH as a possible determinant of COVID-19 VH. An in-person survey was self-administered to people older than 18 years of age living in the metropolitan cities of Bologna and Palermo [13] that were recruited between December 2020 and February 2021. People were recruited in five pharmacies located in the city of Palermo and while they were waiting to undergo a screening swab by the local health authority in Bologna. Adherence to the study was voluntary and data were collected anonymously. Socio-demographic variables were collected. VH contextual, individual/group and vaccine-specific determinants, chosen according to those identified by the WHO Sage Group [14] , were investigated. The same vaccine hesitancy variables were transformed into affirmative outcomes to investigate vaccination propensity factors. Lastly, participants were also asked whether they had received the influenza vaccination in the year 2020 and if their decision had been influenced by the SARS-CoV-2 pandemic. A complete English version of the survey instrument can be found in the supplementary materials. Variables were described as absolute and relative frequencies. Univariate analysis was performed using the χ2 test for all categorical variables. Independent variables for which the p value was 0.25 or less in the univariate analysis were included in the multivariate logistic regression models. A two-sided p value of 0.05 or less was considered an indicator of a statistically significant difference. The following independent variables were included if they met the mentioned criteria: age (<40 = 0; ≥40 = 1), city (Palermo = 0; Bologna = 1), gender (male = 0; female = 1), level of education (