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疫苗接种率、犹豫及其相关因素:对巴西东北部州首府城市 2017 年和 2018 年出生的儿童队列进行的一项家庭调查。

Vaccination coverage, hesitancy and associated factors: a household survey of a cohort of children born in 2017 and 2018 in urban areas of state capital cities in the Brazilian Northeast.

机构信息

Universidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, BA, Brazil.

Universidade de Pernambuco, Faculdade de Ciências Médicas, Recife, PE, Brazil.

出版信息

Epidemiol Serv Saude. 2024 Nov 1;33(spe2):e20231298. doi: 10.1590/S2237-96222024v33e20231298.especial2.en. eCollection 2024.

Abstract

OBJECTIVE

To estimate vaccination coverage and analyze sociodemographic factors associated with non-vaccination in children born in 2017 and 2018 in the state capitals of Northeast Brazil.

METHODS

A household survey using cluster sampling was conducted from 2020-2022 to estimate vaccination coverage and hesitancy. Factors associated with non-vaccination were analyzed using logistic regression to calculate Odds Ratios (OR) and their Confidence Intervals (95%CI).

RESULTS

Natal was the capital with the lowest vaccination coverage, below 75.0% for most immunizers. Teresina had rates equal to or greater than 90.0% for all vaccines. Among those interviewed, 99.1% (95%CI 98.9;99.3) believe that vaccines are important for health; 95.4% (95%CI 95.0;95.8) trust immunobiologicals and 79.6% (95%CI% 78.8;80.3) are not afraid of reactions. Belonging to the highest socioeconomic stratum (adjusted OR: 1.34 - 95%CI 1.20;1.50) was as a factor associated with non-vaccination.

CONCLUSION

Low coverage highlights the need for a better understanding of regional specificities and social inequalities.

摘要

目的

评估 2017 年和 2018 年出生于巴西东北部州府的儿童的疫苗接种率,并分析与未接种疫苗相关的社会人口学因素。

方法

2020 年至 2022 年期间采用整群抽样方法进行了一项家庭调查,以评估疫苗接种率和犹豫情况。使用逻辑回归分析与未接种疫苗相关的因素,计算优势比(OR)及其 95%置信区间(95%CI)。

结果

纳塔尔是疫苗接种率最低的首府,大多数疫苗接种率低于 75.0%。特雷西纳的所有疫苗接种率均等于或高于 90.0%。在接受采访的人中,99.1%(95%CI 98.9;99.3)认为疫苗对健康很重要;95.4%(95%CI 95.0;95.8)信任免疫生物制剂,79.6%(95%CI% 78.8;80.3)不担心反应。属于最高社会经济阶层(调整后的 OR:1.34-95%CI 1.20;1.50)是与未接种疫苗相关的因素。

结论

低覆盖率突出表明需要更好地了解区域特殊性和社会不平等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa43/11537179/49e29350cb70/2237-9622-ress-33-spe2-e20231298-f1-en.jpg

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