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In today's information age, recommender systems have become an essential tool to filter and personalize the massive data flow to users. However, these systems' increasing complexity and opaque nature have raised concerns about transparency and user trust. Lack of explainability in recommendations can lead to ill-informed decisions and decreased confidence in these advanced systems. Our study addresses this problem by integrating explainability techniques into recommendation systems to improve both the precision of the recommendations and their transparency. We implemented and evaluated recommendation models on the MovieLens and Amazon datasets, applying explainability methods like LIME and SHAP to disentangle the model decisions. The results indicated significant improvements in the precision of the recommendations, with a notable increase in the user's ability to understand and trust the suggestions provided by the system. For example, we saw a 3% increase in recommendation precision when incorporating these explainability techniques, demonstrating their added value in performance and improving the user experience.

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Lynching remains a common form of collective punishment for alleged wrongdoers in Latin America, Africa, and Asia today. Unlike other kinds of collective violence, lynching is usually not carried out by standing organizations. How do lynch mobs overcome the high barriers to violent collective action? I argue that they draw on local community ties to compensate for a lack of centralized organization. Lynch mobs benefit from solidarity and peer pressure, which facilitate collective action. The study focuses on Mexico, where lynching is prevalent and often amounts to the collective beating of thieves. Based on original survey data from Mexico City and a novel lynching event dataset covering the whole of Mexico, I find that individuals with more ties in their communities participate more often in lynching, and municipalities with more highly integrated communities have higher lynching rates. As community ties and lynching may be endogenously related, I also examine the posited mechanisms and the causal direction. Findings reveal that municipalities exposed to a recent major earthquake-an event that tends to increase community ties-subsequently experienced increased levels of lynching. Importantly, I find that interpersonal trust is unrelated to lynching, thus showing that different aspects of social capital have diverging consequences for collective violence, with community ties revealing a "dark side."

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So-called "middle authors," being neither the first, last, nor corresponding author of an academic paper, have made increasing relative contributions to academic scholarship over recent decades. No work has specifically and explicitly addressed the roles, rights, and responsibilities of middle authors, an authorship position which we believe is particularly vulnerable to abuse via growing phenomena such as paper mills. Responsible middle authorship requires transparent declarations of intellectual and other scientific contributions that journals can and should require of co-authors and established guidelines and criteria to achieve this already exist (ICMJE/CRediT). Although publishers, editors, and authors need to collectively uphold a situation of shared responsibility for appropriate co-authorship, current models have failed science since verification of authorship is impossible, except through blind trust in authors' statements. During the retraction of a paper, while the opinion of individual co-authors might be noted in a retraction notice, the retraction itself practically erases the relevance of co-author contributions and position/status (first, leading, senior, last, co-corresponding, etc.). Paper mills may have successfully proliferated because individual authors' roles and responsibilities are not tangibly verifiable and are thus indiscernible. We draw on a historical example of manipulated research to argue that authors and editors should publish publicly available, traceable contributions to the intellectual content of an article-both classical authorship or technical contributions-to maximize both visibility of individual contributions and accountability. To make our article practically more relevant to this journal's readership, we reviewed the top 50 Q1 journals in the fields of biochemistry and pharmacology, as ranked by the SJR, to appreciate which journals adopted the ICMJE or CRediT schools of authorship contribution, finding significant variation in adhesion to ICMJE guidelines nor the CRediT criteria and wording of author guidelines.

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This paper presents a literature review on the economic valuation of Harmful Algal Bloom (HAB) impacts, identifying methodological challenges, policy implications, and gaps. Unlike previous literature reviews, we are particularly interested in determining whether the economic valuations of HABs have included a policy analysis. Our paper provides a conceptual framework that allows us to evaluate whether applications of economic studies of HABs are consistent with a well-defined economic welfare analysis. It links methodologies and techniques with welfare measures, data types, and econometric methods. Based on this literature review, we present an example of economic valuation that closes the gap between policy analysis and valuation methodology. We use a stated preferences study to estimate a "seafood price premium" to create a fund to support monitoring systems and for damage compensation to producers in the presence of HABs. Results show that most economic studies on HAB valuation do not consider any cost-benefit analysis of a defined policy intervention. The predominant economic valuation methodology uses market information to estimate a proxy for welfare measure of the impact of HABs (loss revenue, sales, exports). Moreover, nonuse and indirect use values are ignored in the literature, while stated preference methodologies are underrepresented. Finally, results from 1293 surveys found that people are willing to pay an increase in the price of mussels to support a policy that informs on HAB. However, the lack of institutional trust affects the probability of paying negatively.

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This article presents a causal inference analysis of vaccine hesitancy for Coronavirus disease 2019 (COVID-19) vaccines based on socio-demographic data obtained via questionnaires applied to a sample of the Brazilian population. This data includes the respondents' political preferences, age group, education, salary range, country region, sex, believing fake news, vaccine confidence, and intention to get the COVID-19 vaccine. The research created a causal graph using these variables, seeking to answer questions about the probability of people getting vaccinated. The results of this research corroborate findings observed in the literature, also presenting unique findings: (i) The perception that the vaccine is safe is positively affected by age group and negatively by religion; (ii) The older the person, the greater the probability of considering the vaccine safe and, consequently, of getting vaccinated; (iii) The religion variable showed great importance in the model since it has a simultaneous causal effect on political preferences and the perception of vaccine safety; (iv) The data reveal that the probability of a person accepting the vaccination against COVID-19 is reduced given the fact that they believe fake news related to the vaccine. The methodology applied in this research can be replicated for populations from other countries so that it is possible to generate customized models. General causal models can be helpful for agencies dealing with vaccine hesitancy to decide which variables should be addressed to reduce this phenomenon.

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OBJECTIVE: This study was carried out to determine the mediating role of physician trust in the relationship between medical mistrust and health-care system distrust. MATERIALS AND METHODS: The "Health Care Systems Distrust Scale", which consists of 10 questions, the "Medical Mistrust Scale", which consists of 17 questions, the "Physician Trust Scale", which consists of 11 questions. The statistical analysis was performed using the SPSS 26.0 program. RESULTS: Health-care system distrust was positively correlated with medical mistrust and negatively correlated with physician trust. There was a negative relationship between medical mistrust and physician trust. Physician trust mediates the effect of medical mistrust on health-care system distrust. In other words, it was determined that the mediating effect of physician trust was significant. CONCLUSION: Addition of physician trust to medical mistrust decreases the negative effects of health-care system distrust. Medical mistrust must be addressed at multiple levels of society, including government, policy, and health-care systems.

OBJETIVO: Este estudio se llevó a cabo para determinar el papel mediador de la confianza del médico en la relación entre la desconfianza médica y la desconfianza en el sistema de salud. MATERIALES Y MÉTODOS: La "Escala de desconfianza en los sistemas de atención médica", que consta de 10 preguntas, la "Escala de desconfianza médica", que consta de 17 preguntas, la "Escala de confianza del médico", que consta de 11 preguntas. El análisis estadístico se realizó mediante el programa SPSS 26.0. RESULTADOS: La desconfianza en el sistema de salud se correlacionó positivamente con la desconfianza médica y negativamente con la confianza en los médicos. Hubo una relación negativa entre la desconfianza médica y la confianza en el médico. La confianza del médico media el efecto de la desconfianza médica en la desconfianza de los sistemas de atención médica. En otras palabras, se determinó que el efecto mediador de la confianza en el médico fue significativo. CONCLUSIÓN: La adición de la confianza del médico a la desconfianza médica disminuye los efectos negativos de la desconfianza en el sistema de atención médica. La desconfianza médica debe abordarse en múltiples niveles de la sociedad, incluido el gobierno, las políticas y los sistemas de atención médica.

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This study focuses on the role of AI in shaping Generation Z's consumer behaviors across fashion, technology, beauty, and education sectors. Analyzing responses from 224 participants, our findings reveal that AI exposure, attitude toward AI, and AI accuracy perception significantly enhance brand trust, which in turn positively impacts purchasing decisions. Notably, flow experience acts as a mediator between brand trust and purchasing decisions. These insights underscore the critical role of AI in developing brand trust and influencing purchasing choices among Generation Z, offering valuable implications for marketers in an increasingly digital landscape.

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Research about science and publics in the COVID-19 pandemic often focuses on public trust and on identifying and correcting public attitudes. Drawing on qualitative interviews with 209 residents in six countries-Austria, Bolivia, Germany, Italy, Mexico, and Portugal-this article uses the concept of performativity to explore how participants understand, and relate to science, in the COVID-19 context. By performativity, we mean the ways by which participants understand themselves as particular sorts of publics through identification with, and differentiation from, various other actors in matters that are perceived as controversies surrounding science: COVID-19 vaccination, media communication of science, and the interactions between governments and scientists. The criteria used to construct the similarities and differences among publics were heterogeneous and fluid, showing how epistemic beliefs about the nature of, and trust in, scientific knowledge are intermingled with social and cultural memberships embedded in specific contexts and across disparate places.

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Previous studies in the context of the COVID-19 pandemic indicated that wearing a medical-style mask affects whether a stranger's face is judged as more trustworthy, socially desirable, or likely to be ill. However, given political controversies around mask use, these effects might vary by political orientation. In a pre-registered online experiment, we measured evaluations of trustworthiness, social desirability and perceived illness in masked and unmasked faces by 1241 British and US participants. We included questions on political orientation, along with the implicit online-VAAST approach/avoid task to test reaction times to masked/unmasked faces. There was a medium-sized effect of masks on trustworthiness and a significant interaction with political orientation, in that conservatives found masked faces less trustworthy than did liberals. Participants were quicker to approach masked than unmasked faces, but conservatives were relatively slower than liberals. The effects on trustworthiness suggest that differential moralization of novel social norms can affect how their adherents are evaluated in terms of their suitability for social interactions. Furthermore, the congruence between implicit and explicit methods implies that such differences can have deep-seated effects on reactions.

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In the context of international migration, intergroup contact has been widely recognised as a strategy for enhancing host populations' positive attitudes towards immigrants. However, the moderating factors that influence this association have been relatively understudied. In this research, we propose that generalised trust plays a significant role as a moderator in the relationship between the quality and quantity of intergroup contact and the positive attitudes of Chileans towards Peruvian and Venezuelan immigrants. We hypothesize that both types of contact will be associated with more positive attitudes towards immigrants in hosts with generalised trust (vs. no generalised trust). Using a sample of 916 Chilean participants, we conducted a linear regression analysis to test our hypotheses, and results show us a moderation effect only with contact quality. These findings have theoretical and practical implications, particularly in understanding how the moderation effect of generalised trust can contribute to improving intergroup attitudes.

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Trust in institutions is fundamental for the stability and proper functioning of democracies, particularly in matters of high public sensitivity, such as food safety. This study aimed to assess trust levels in different sources of information and respondents' evaluation of the performance of government agencies responsible for controlling food-related hazards. Individuals interviewed in three environments (hospitals/clinics, supermarkets, universities, N = 1000) answered a face-to-face questionnaire in the Federal District of Brazil, and another population (health surveillance employees at the municipal, state and federal levels; N = 1017) answered the questionnaire online. About 60% of the population interviewed considered government performance to be low/very low. Scientists/universities, medical doctors (MD)/health professionals, and nongovernmental organizations (NGOs) were judged to be the most reliable sources of information on food hazards, while the food industry, supermarkets and social media inspired the lowest trust. Individuals from the hospitals/clinics group had significantly higher trust in MD/health professionals, media and websites than the two other Federal District groups. In general, income and education were the most predictive factors for the results, being negatively associated with assessment of government performance and trust in most information sources. In the Federal District, there was a negative association between trust levels in the government and worry about pesticides and genetically modified food, but a positive association between trust in NGOs and worry on these hazards. The results point to the need for the implementation of more effective communication strategies by institutions in which the population has low trust levels, such as government and food companies.

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INTRODUCTION: Infant vaccination has significantly reduced the morbidity and mortality of transmittable diseases worldwide. Its coverage is high (85%); however, partial or suboptimal vaccination has been an important public health problem. This study aimed (1) to design and explore the psychometric features of a questionnaire to determine the reasons for this partial or suboptimal vaccination; and 2) to determine the factors associated with delaying Diphtheria, Tetanus, Poliomyelitis (DTaP) vaccination. MATERIAL AND METHODS: This study contained two parts. In Part One, a questionnaire was created by the research team and then validated by a committee of experts in the field and a group of parents. It included the following contents: sociodemographic variables, features of the vaccination services, history of vaccination, and attitudes and perceptions about vaccination. Part Two was a cross-sectional study, recruiting private and public healthcare centers to explore the psychometrics features of the instrument, performing exploratory factor analysis, and determining the associated factors with DTaP vaccination delay throughout multivariable regression models. RESULTS: Initially, six experts validated the questionnaire. For instance, on a scale of 1 to 5, the general evaluation of the questionnaire was ≥ 4 for all the experts. Additionally, five experts considered that most of the questions were easy to understand, and all thought the questionnaire had a clear and logical organization. The resulting questionnaire included the "Trust and positive attitude towards vaccination" scale, which had a good structure of items and internal consistency (α = 0.7918). Six healthcare centers were recruited in the second part of the study, and 715 people answered the questionnaire. Not being the mother who brings the child to the health center, having more than one child, and having a history of previous vaccination delays increased the risk of delaying vaccination. Attending the healthcare center for a reason other than only vaccination, obtaining information about vaccines from the Internet, and having higher trust and positive attitudes to vaccination reduced the risk of delay. CONCLUSIONS: First study during the pandemic to explore the role of different factors on the risk of DTaP vaccination delay in Latin America. The findings highlighted the importance of trust in the vaccination system. The instrument presented in this article may help the scientific community evaluate future interventions to increase trust and positive attitudes toward the vaccination process.

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Background After three years of COVID-19, the WHO declared that the pandemic was no longer a global health emergency. Vaccination remains part of the management strategy, given the current phase of the pandemic. This study explored the reasons for COVID-19 vaccine hesitancy in Trinidad and Tobago (TT). Methodology A qualitative study of persons 18 years and over from the eastern, northwest, northcentral, and southwestern geographical areas of TT, who are unvaccinated and hesitant, was done by convenience sampling. Formal in-depth virtual interviews were done on a one-to-one basis using a semi-structured questionnaire. The interviews were recorded and transcribed using the principles of reflexive thematic analysis of participants' responses.  Results From 25 participants' responses, the main themes for being vaccine-hesitant were fear, inefficacy, information inadequacy, perceived susceptibility, mistrust, herbal alternatives, and religious hesitations. Additionally, their motivations for receiving the vaccine in the future were surrounded by themes of necessity, perceived susceptibility, health benchmark, and assurance. Conclusion and recommendations This qualitative investigation identified traditional factors contributing to COVID-19 vaccine hesitancy and unique determinants such as herbal use and religious beliefs within the TT context. These insights could inform future research and facilitate the development of tailored strategies to address persistent vaccine hesitancy for COVID-19.

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The TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data collected in five countries: Argentina, Chile, Italy, Portugal and Spain. These datasets are comprised of three waves carried out over a six-month period between late September 2021 and April 2022. In addition, the survey datasets include a series of experiments embedded in the different waves that examine social exposure, polarisation framing, and social sorting. The digital trace datasets include variables on individuals' behaviours and exposure to information received via digital media and social media. This data was collected using a combination of tracking technologies that the interviewees installed in their different devices. This digital trace data is matched with the individual-level survey data. These datasets are especially useful for researchers who wish to explore dynamics of polarisation, political attitudes, and political communication.

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Resumen El estudio de la confianza interpersonal es crucial para el desarrollo psicosocial humano. Se ha observado que, durante la niñez, favorece el comportamiento moral y prosocial, los vínculos de amistad, la competencia social, la experiencia de emociones positivas y el rendimiento académico, entre otros aspectos. El presente trabajo tuvo por objetivo adaptar y validar la Cross Cultural Children Trust Beliefs Scale (CCCTBS), a fin de poder evaluar este constructo en población argentina. La muestra incluyó 348 niños (51.2 % mujeres; 48.8 % varones), de entre 8 y 12 años de edad (m = 10.58; DE = 1.31), quienes completaron la CCCTBS y una escala de apego. Se consiguió una versión conceptual y semánticamente equivalente a la original, con buenas propiedades psicométricas. La escala argentina conserva el mismo número de ítems y replica el modelo operacional de partida, constituido por tres bases principales de la confianza: fiabilidad (α = .76; ω = .80), confianza emocional (α = .72; ω = .78) y honestidad (α = .78; ω = .83). Las puntuaciones de la CCCTBS correlacionaron positiva y significativamente con la medida de apego seguro, lo que aporta evidencias de su validez nomológica.

Abstract The study of interpersonal trust is crucial for human psychological development. It has been observed that it enhances moral and prosocial behavior during childhood, as well as friendship bonds, social competence, experience of positive emotions and academic performance, among others. This research aimed to adapt and validate the Cross-Cultural Children Trust Beliefs Scale (CCCTBS), to assess this construct in the Argentine population. The sample included 348 children (51.2 % female; 48.8 % male) aged 8 to 12 years (m = 10.58; SD = 1.31), who completed the CCCTBS and an attachment scale. A version, conceptually and semantically equivalent to the original was obtained, with good psychometric properties. The Argentine scale retains the same number of items and replicates the starting operational model, consisting of three main bases of trust: reliability (α = .76; ω = .80), emotional trust (α = .72; ω = .78) and honesty (α = .78; ω = .83). The CCCTBS scores correlated positively and significantly with the secure attachment measure, providing evidence of its nomological validity.

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The size of the foreign-born population living in the United States makes migrants' health a substantive policy issue. The health status of Mexican immigrants might be affected by the level of social capital and the social context, including the rhetoric around immigration. We hypothesize that a diminished perception of trust and safety in the community has a negative impact on self-reported health. In a cross-sectional study, we conducted a survey among 266 Mexican Immigrants in the New York City Area who used the Mexican Consulate between May and June 2019 for regular services provided to documented and undocumented immigrants. A univariate and bivariate descriptive analysis by trust and security items first shows the diversity of the Mexican population living in the US and the conditions of vulnerability. Then, logistic regression models estimate the association between trust and security items with self-reported health status. Results show that safety is consistently associated with good self-rated health, especially when rating the neighborhood, and trust showed mixed results, more reliant to the way it is operationalized. The study illustrates a pathway by which perceptions of the social context are associated with migrants' health.

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Abstract Introduction Patient-physician relationship is associated with ART adherence and medical follow-up in people living with HIV (PLWH). Patient's trust in their doctor is a key component of patient-physician relationship, so adequate and reliable instruments to measure this component are important to evaluate its impact on health outcomes. Objective To evaluate the psychometric properties of a translated and adapted version of Trust in Physician Scale (TPS) in Mexican PLWH. Method A cross-sectional study was carried out in PLWH. Scale was translated to Spanish and culturally adapted. Sociodemographic and TPS data were collected online due to COVID-19 pandemic. Exploratory (EFA) and confirmatory (CFA) factor analysis were carried out in two different samples. Results Data from 215 participants was used to EFA. Five items were eliminated due to low correlation with total scale. Final Cronbach's alpha was .93. A single-factor structure explained 68.8% of the variance. CFA in a sample of 140 participants confirmed adequate fit indices (χ2[7] = 13.015 p = .072, CFI = .997, RMSEA = .057, SMRS = .0015). Discussion and conclusion The final scale was unifactorial and it is made up of six items instead of 11. It seems to be a valid and reliable scale to measure patient's trust in doctors in Mexican PLWH. Further studies are recommended to provide evidence of convergent validity to the instrument.

Resumen Introducción La relación médico-paciente está asociada a la adherencia al tratamiento antirretroviral y al seguimiento médico en las personas que viven con VIH (PVVS). La confianza de los pacientes en sus médicos es un componente clave de la relación médico-paciente, por lo que es importante disponer de instrumentos adecuados y fiables para medir este componente y evaluar su impacto en los resultados de salud. Objetivo Evaluar las propiedades psicométricas de una versión traducida y adaptada de la Trust in Physician Scale (TPS) en PVVS mexicanas. Método Se realizó un estudio transversal en adultos con VIH. La escala fue traducida al español y adaptada culturalmente. Los datos sociodemográficos y de la TPS se recogieron en línea debido a la pandemia de COVID-19. Se realizaron análisis factoriales exploratorios (AFE) y confirmatorios (AFC) en dos muestras diferentes. Resultados Se utilizaron los datos de 215 participantes para el AFE. Se eliminaron cinco ítems debido a la baja correlación con la escala total. El alfa de Cronbach final fue de .93. Una estructura unifactorial explicó el 68.8% de la varianza. El AFC en una muestra de 140 participantes confirmó la adecuación del modelo mostrando índices de ajuste adecuados (χ2[7] = 13.015 p = .072, CFI = .997, RMSEA =.057, SMRS = .0015). Discusión y conclusión La escala final fue unifactorial y se compuso de seis ítems en lugar de 11. Parece ser una escala válida y fiable para medir la confianza del paciente en los médicos en PVVS mexicanas. Se recomiendan más estudios para buscar evidencia de validez convergente del instrumento.

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Political trust is an important predictor of compliance with government policies, especially in the face of natural disasters or public health emergencies. During the COVID-19 pandemic, for example, multiple studies related political trust to increased compliance with mobility restrictions. Yet these findings come mostly from high-income countries where political trust and wealth correlate positively. In Latin America, both variables correlate negatively, allowing for better testing of competing explanations. Using a difference-in-differences design, we find that in Latin America wealth and, counterintuitively, low political trust predict increased compliance. To understand mechanisms, we decompose political trust and wealth into underlying predictors (social protection, corruption, and education) and reinsert them into the model. While education, as a wealth proxy, predicts decreased mobility across all periods, social protection, which was the strongest predictor of political trust, relates significantly to increased mobility, but only at the beginning of the lockdown prior to distribution of emergency support. This suggests the existence of a public health moral hazard early in the pandemic, whereby citizens who benefited previously from government benefits may have been more risk tolerant in the face of the COVID-19 threat. We interpret these findings within the context of the region's recent "inclusionary turn." Future studies should explore the distinct relationships between political trust, risk perception, and compliance, especially in low- and middle-income countries, and their implications for policy responses to national emergencies.

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PURPOSE: We tested the hypothesis that low institutional trust would be associated with depressive symptom elevation, with attention to potential selection bias. METHODS: The District of Columbia Area Survey (DCAS) was conducted by mail in 2018. Invitations sent to 8800 households resulted in a sample of 1061 adults. Institutional trust questions referenced nonprofit organizations, businesses, and government. Depressive symptom elevation was assessed using PHQ-9. Logistic regression model estimates were compared with and without adjustment for sociodemographic characteristics and neighborhood satisfaction; among complete cases and following multiple imputation of missing covariate data; and with and without survey weights or correction for collider selection bias. RESULTS: Of 968 participants without missing depressive symptom or trust data, 24% reported low institutional trust. Low institutional trust was associated with elevated depressive symptoms (adjusted OR following multiple imputation: 2.0; 95% CI: 1.1, 3.4), although the association was attenuated with use of survey weights (adjusted OR incorporating multiple imputation and survey weights: 1.6; 95% CI: 0.7, 3.2). CONCLUSIONS: Under contrasting scenarios where low institutional trust and depressive symptoms jointly increase nonresponse, selection bias could lead to under- or overestimation of this association. Future research could explore posited selection bias scenarios that differ in direction of bias.

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Introducción: Las vacunas han sido uno de los inventos más relevantes en el ámbito de la salud pública, debido al poder que tienen de erradicar epidemias y prevenir complicaciones y muertes. Sin embargo, la renuencia ha predominado. Objetivo: evaluar la confianza y renuencia ante la vacuna contra el SARS-CoV-2 (COVID-19) por parte de la población de las Salinas de Baní, provincia Peravia. Metodología: Paradigma positivista, de tipo descriptivo, observacional, prospectivo y de corte transversal. La población total fue de 708 personas adultas, residentes en la comunidad de las Salinas de Baní, con una muestra aleatoria de 170 pacientes. Los datos fueron recolectados mediante un formulario (anexo #1) aplicado en el período agosto-septiembre 2021. Resultados: El 20.69% de la población confía en la vacuna; el nivel de confianza mayormente atribuido fue el nivel 10 con un 36.45%; el 46.52% de la población está conforme con su acerca de la vacuna; el grupo etario con mayor duda sobre aplicarse la vacuna es el de 21-29 años, y la religión no fue un factor influyente para vacunarse. Conclusiones: A pesar del rápido desarrollo e introducción de las vacunas contra la COVID-19, la mayoría de la población le atribuyen un alto nivel de confianza.

Background: Vaccines have been one of the most re-levant inventions in the field of public health, due to the power they have to eradicate epidemics and prevent complications and deaths. Despite this, reluctance and hesitation have prevailed. Objective: To evaluate the confidence and reluctance towards the vaccine against SARS-CoV-2 (COVID-19) by the population of Las Salinas of Baní, Peravia pro-vince. Methodology: This study is a positivist paradigm, des-criptive, observational, prospective, and cross-sectional. The total population was 708 adults, residing in the community of Salinas de Baní, with a random sample of 170 patients. The data were collected using a form (an-nex # 1) applied in the period August-September 2021. Results: 20.69% of the population trust the vaccine; the confidence level most attributed was level 10 with 36.45%; 46.52% of the population is satisfied with the level of knowledge they have about the vaccine; the age group with the greatest hesitancy about using the vac-cine is 21-29 years old, with 12.94% of the population and religion was not an influential factor in getting vac-cinated. Conclusións: Despite the rapid development and in-troduction of COVID-19 vaccines and not having enough information about them, the majority of this population attribute a high level of confidence to it.

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