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The evaluation of correlation between health indicators and vaccination against Covid-19 is essential for implementing strategies to fight the disease. Objective: To analyze the spatialtemporal distribution of health indicators and their correlation with vaccination against Covid-19 in the state of Paraná. Methods: Ecological, cross-sectional study of secondary data analysis through bulletins of the Health Department of Paraná from 2021 to 2022, using as variables Incidence Rate (IR), Mortality Coefficient (MC), Lethality Coefficient (LC), Dose 1 (D1) and Vaccination Coverage (VC) of Covid-19. The correlation among the variables was analyzed with the Spearman test and exploratory analysis of univariate and bivariate spatial data using the software GeoDa. Results: There was a positive correlation for the analysis of VC and D1 with IR and MC, and a negative correlation for VC and D1 with LC. Univariate spatial analysis showed positive autocorrelation. In the bivariate analysis, there was a negative spatial correlation between VC and LC, with low-high clusters being highlighted, and a positive spatial correlation between VC and IR with low-low clusters. Conclusion: Knowledge on the influence of space on health indicators can contribute to the organization of policies for regional coping with the pandemic. The dissemination of the results allows the promulgation of the benefits of vaccination in reducing the severity of the disease in the State. [ABSTRACT FROM AUTHOR]