METHODS: This is an ecological and exploratory study of VC in 35 municipalities using a spatial approach; VC data were obtained from the IT Department of the Unified Health System (DATASUS), for the years 2015 and 2019, and categorized into Low (VC<95%) and ideal (≥95%). Information was obtained on gross domestic product (GDP), professional rates and number of basic health units (UBS) and maternal data such as age, marital status (MS) and education. Univariate and bivariate Moran indices were estimated for the years 2015 and 2019, and thematic maps were created for CV values.
RESULTS: The average VC values were 107.7%±27.2 in 2015, and 94.2%±27.8 in 2019 (p<0.05). In 2015 vs. 2019, there were 10 vs. 25 municipalities in the Low category. In 2015, the variables VC, number of UBS, age, education, and MS were spatially correlated, but in 2019 only maternal age and education were spatially correlated. The bivariate Moran was significant and negative for VC in 2019 with maternal education. There was an increase in municipalities with worsening VC values.
CONCLUSIONS: The spatial approach identified a decrease in polio vaccination coverage in the studied region.
方法:这是使用空间方法对35个城市的VC进行的生态和探索性研究;VC数据是从统一卫生系统(DATASUS)的IT部门获得的,2015年和2019年,分为低(VC<95%)和理想(≥95%)。获得了国内生产总值(GDP)的信息,专业率和基本卫生单位数量(UBS)和孕产妇数据,如年龄,婚姻状况(MS)和教育。估计了2015年和2019年的单变量和双变量Moran指数,并为CV值创建了专题地图。
结果:2015年的平均VC值为107.7%±27.2,2019年为94.2%±27.8(p<0.05)。2015年vs.2019年,有10对25个城市属于低类别。2015年,变量VC,UBS的数量,年龄,教育,和MS是空间相关的,但在2019年,只有产妇年龄和受教育程度在空间上相关。2019年,在母亲教育的情况下,双变量Moran对VC是显著的和负的。随着VC值的恶化,市政当局有所增加。
结论:空间方法发现研究区域脊髓灰质炎疫苗接种覆盖率下降。