Vaccination coverage and adherence to a dengue vaccination program in the state of Paraná, Brazil

Preto, Clara; Mello, Ângela Maron de; Maluf, Eliane Mara Cesário Pereira; Krainski, Elias Teixeira; Graeff, Gabriel; Sousa, Gabriela Amanda de; Silva, Lineu Roberto da; Costa-Ribeiro, Magda Clara Vieira da; Buffon, Marilene da Cruz Magalhães; Shimakura, Sílvia Emiko; Raboni, Sônia Mara; Carvalho, Denise Siqueira de; Luhm, Karin Regina

doi:10.1016/j.vaccine.2020.12.030

Cited by 12 publications

(16 citation statements)

References 40 publications

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“…Study findings on KAP showed that knowledge levels on dengue infection, risk of transmission, and symptoms were moderate across all countries. This finding contrasts with previous KAP studies, which found knowledge gaps about dengue infection, particularly risk of transmission and symptoms, in Brazil and Argentina [ 46 , 47 , 48 , 49 , 50 , 51 , 52 ]; however, this difference may be related to the high education level of respondents in this survey. Similarly to prior KAP studies of specific regions or subpopulations within a single country, our study found that overall dengue knowledge was positively associated with higher education levels [ 53 , 54 ], as well as with higher perception of dengue risk and prior experience of dengue infection [ 55 ].…”

Section: Discussioncontrasting

confidence: 99%

Knowledge, Attitudes and Practices toward Dengue Fever, Vector Control, and Vaccine Acceptance Among the General Population in Countries from Latin America and Asia Pacific: A Cross-Sectional Study (GEMKAP)

et al. 2023

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Dengue represents a major public health concern. With effective vaccines in development, it is important to identify motivational factors to maximize dengue vaccine uptake. A cross-sectional, quantitative, electronic survey was administered to a nationally representative adult population (n = 3800) in Argentina, Brazil, Colombia, Mexico, Indonesia, Malaysia, and Singapore. Willingness to vaccinate against dengue, and Knowledge, Attitudes, and Practices (KAP) toward dengue, vector control, prevention, and vaccination were determined. The Capability, Opportunity, Motivation for Behavior change (COM-B) framework was used to identify factors correlated with dengue vaccine(s) uptake. KAP scores (standardized, 0–100% scale) resulted in a low global score for Knowledge (48%) and Practice (44%), and a moderate score for Attitude (66%); scores were comparable across countries. Of all respondents, 53% had a high willingness (Score: 8–10/10) to vaccinate against dengue, which was higher (59%) in Latin America (Argentina, Brazil, Colombia, Mexico) than in Asia Pacific (40%) (Indonesia, Malaysia, Singapore). Key factors significantly (p < 0.05) associated with increased willingness to vaccinate included accessibility to the public (subsidies and incentives) and trust in the healthcare system and government. A common approach to dengue prevention across endemic countries––with some country-specific customization, including education, vaccination, and vector control (multi-pronged)––may reduce dengue burden and improve outcomes.

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Section: Discussioncontrasting

confidence: 99%

Knowledge, Attitudes and Practices toward Dengue Fever, Vector Control, and Vaccine Acceptance Among the General Population in Countries from Latin America and Asia Pacific: A Cross-Sectional Study (GEMKAP)

et al. 2023

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“…This phenomenon may explain the findings of a recent study conducted in the same region as the present study, in which 618 patients with dengue were compared with 1236 controls composed of neighbours and study or work colleagues [24]. The frequency of vaccination with at least one dose was 43.8% for the controls, which was similar to what was observed in the cases (41.3%), but much lower than that reported for the population in vaccination records (60.5%) [6]. Analyses performed in that study did not weight the controls, leading to a high risk that the control group does not accurately reflect the prevalence of vaccination in the source population, which may explain the failure to identify a significant reduction of dengue cases attributable to the vaccine [24].…”

Section: Discussionsupporting

confidence: 84%

“…In the case-cohort design, we defined a population cohort as a group of individuals aged 15-27 years according to the Brazilian Institute of Geography and Statistics ( Instituto Brasileiro de Geografia e Estatística - IBGE) projections for each age group, sex, and participating municipality [10]. The proportion of the exposed cohort for each category was calculated using vaccination records maintained by the government during the campaign [6].…”

Section: Methodsmentioning

confidence: 99%

“…The vaccination campaign targeted individuals aged 15 to 27 years in 28 municipalities with frequent epidemics. Two other municipalities with an incidence greater than 8,000 cases per 100,000 inhabitants in the preceding year of campaign, vaccinated individuals from 9 to 44 [6]. For this study, we included only the municipalities that, besides participating in the campaign, reported dengue cases during 2019 and 2020.…”

Section: Study Design and Populationmentioning

confidence: 99%

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Effectiveness of mass dengue vaccination in the state of Paraná, Brazil: integrating case-cohort and case-control designs

Diaz-Quijano,

de Carvalho,

Raboni

et al. 2023

Preprint

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We aimed to estimate the effectiveness of CYD-TDV in preventing symptomatic dengue cases during a campaign targeting individuals aged 15-27 years in selected municipalities in Parana, Brazil. Additionally, we examined whether a history of dengue, as recorded by the surveillance system, modified the vaccine's effectiveness. Methods: We conducted a case-cohort analysis comparing the frequency of vaccination, with at least one dose of CYD-TDV, in individuals confirmed to have dengue by RT-PCR, identified by the surveillance system during 2019 and 2020, with the vaccination coverage in the target population. Moreover, with a case-control design using weighted controls, we assessed the history of dengue as a modifier of the vaccine's effectiveness. The analyses were performed using a logistic random-effects regression model, with data clustered in municipalities and incorporating covariates such as the incidence of dengue before the campaign, age, and sex. Results: During the study period, 1,869 cases of dengue were identified. The vaccination frequency among these cases was significantly lower than the overall vaccination coverage of the participating municipalities (50.4% vs. 57.2%, respectively; adjusted odds ratio: 0.79; 95% confidence interval: 0.72-0.87). In individuals with a history of dengue, vaccination was more than 70% effective in reducing the incidence of dengue. However, vaccination was not associated with significantly reducing the overall dengue case risk in individuals without a history of dengue. Conclusion: Vaccination significantly decreased dengue cases in the target population. The case-control design suggested that this reduction was primarily driven by the benefits seen in individuals with a history of dengue. Previous dengue diagnosis recorded by epidemiological surveillance could serve as a criterion for the recommendation of CYD-TDV, especially in endemic regions with limited serological testing facilities.

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“…At the individual level, studies found that various demographic characteristics, such as race [15,16], age [17][18][19], sex [16,18,19], education level [20], and economic status [21], are reasons for vaccine hesitation. In addition, other factors include the cognition of disease [22,23], parental attitudes [8,24], side effects [23,25,26], moral intuition [27], the seasonality and number of childbirths [28,29], trust in health professionals [23,30], vaccination history [31,32], and fear of needles [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring and Monitoring the Reasons for Hesitation with COVID-19 Vaccine Based on Social-Platform Text and Classification Algorithms

Liu

2021

Healthcare

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(1) Background: The COVID-19 pandemic is globally rampant, and it is the common goal of all countries to eliminate hesitation in taking the COVID-19 vaccine and achieve herd immunity as soon as possible. However, people are generally more hesitant about the COVID-19 vaccine than about other conventional vaccines, and exploring the specific reasons for hesitation with the COVID-19 vaccine is crucial. (2) Methods: this paper selected text data from a social platform to conduct qualitative analysis of the text to structure COVID-19 vaccine hesitancy reasons, and then conducted semiautomatic quantitative content analysis of the text through a supervised machine-learning method to classify them. (3) Results: on the basis of a large number of studies and news reports on vaccine hesitancy, we structured 12 types of the COVID-19 vaccine hesitancy reasons. Then, in the experiment, we conducted comparative analysis of three classifiers: support vector machine (SVM), logistic regression (LR), and naive Bayes classifier (NBC). Results show that the SVM classification model with TF-IDF and SMOTE had the best performance. (4) Conclusions: our study structured 12 types of COVID-19 vaccine hesitancy reasons through qualitative analysis, filling in the gaps of previous studies. At the same time, this work provides public health institutions with a monitoring tool to support efforts to mitigate and eliminate COVID-19 vaccine hesitancy.

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Vaccination coverage and adherence to a dengue vaccination program in the state of Paraná, Brazil

Cited by 12 publications

References 40 publications

Knowledge, Attitudes and Practices toward Dengue Fever, Vector Control, and Vaccine Acceptance Among the General Population in Countries from Latin America and Asia Pacific: A Cross-Sectional Study (GEMKAP)

Knowledge, Attitudes and Practices toward Dengue Fever, Vector Control, and Vaccine Acceptance Among the General Population in Countries from Latin America and Asia Pacific: A Cross-Sectional Study (GEMKAP)

Effectiveness of mass dengue vaccination in the state of Paraná, Brazil: integrating case-cohort and case-control designs

Exploring and Monitoring the Reasons for Hesitation with COVID-19 Vaccine Based on Social-Platform Text and Classification Algorithms

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