Epidemiological study of the correlation between sociodemographic factors and adherence to vaccination against COVID-19 in the South macroregion of Minas Gerais

Authors

DOI:

https://doi.org/10.33448/rsd-v13i8.46655

Keywords:

COVID-19; Vaccines; Sociodemographic factors.

Abstract

The COVID-19 pandemic brought major impacts to public health. The present study aims to analyze the sociodemographic profile of the population adherent to vaccination against COVID-19 in the South macroregion, Minas Gerais, and characterize the factors that influenced the adherence. Thus, the data made available by IBGE Cidades and Boletim Epidemiológico Coronavírus from the State Department of Health of Minas Gerais were used. Then, principal component analysis followed by multiple linear regression was performed to evaluate the effects of social, economic, and health variables on the spatial behavior of vaccination coverage, considering the frist dose (d1), second dose, and sigle dose (d2_du). This analysis identified the variables that had a direct and inverse proportional influence on vaccination adherence. It was observed that the number of elementary and secondary education institutions (var_escolar) and GDP per capita have a positive correlation with d1, while the average monthly salary of formal workes shows a negative correlation. The spatial behavior of d2_du is positively explained by d1 and var_escolar. Finally, it was concluded that sociodemographic factors had a significant impact on the vaccination adherence of the population studied against COVID-19.

References

Deng, S & Peng, H (2020). Characteristics of and Public Health Responses to the Coronavirus Disease 2019 Outbreak in China. Journal Of Clinical Medicine, 575 (2), 1-10.

Fietkiewicz, K J et al (2016). Inter-generational comparison of social media use: Investigating the online behavior of different generational cohorts. 49th Hawaii International Conference on System Sciences (HICSS), 3829-3838.

Galhardi, C P et al (2020). Fact or fake? An analysis of disinformation regarding the Covid-19 pandemic in Brazil. Ciência & Saúde Coletiva, 25 (2), 4201-4210.

Galhardi, C P et al (2022). Fake news e hesitação vacinal no contexto da pandemia da COVID-19 no Brasil. Ciência & Saúde Coletiva, 27 (5), 1849-1858.

Hu, B et al (2021). Characteristics of SARS-CoV-2 and COVID-19. Nature Reviews Microbiology, 19 (3), 141-154.

Hudson, A & Montelpare, W J (2021). Predictors of vaccine hesitancy: implications for COVID-19 public health messaging. International Journal of Environmental Research and Public Health, 18 (15), 8054.

Hui, D S et al (2020). The continuing 2019 n-CoV epidemic threat of novel coronaviruses to global health – The latest 2019 novel coronavirus outbreak in Wuhan, China. International Journal of Infectious Diseases, 91, 264-266.

Hursh, S R et al (2020). Quantifying the impact of public perceptions on vaccine acceptance using behavioral economics. Frontiers in public health, 8, 1-7.

Izda, V.; Jeffries, MA & Sawalha, AH (2021). COVID-19: A review of therapeutic strategies and vaccine candidates. Clinical Immunology, 222, 1-12.

Kennedy, J (2020). Vaccine hesitancy: a growing concern. Pediatric drugs, 22 (1), 105-111.

Lazarus, J V et al (2021). A global survey of potential acceptance of a COVID-19 vaccine. Nature medicine, 27 (2), 225-228.

Loomba, S et al (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature human behaviour, 5 (3), 337-348.

Luyten, J.; Bruyneel, L & Van Hoek, A J (2019). Assessing vaccine hesitancy in the UK population using a generalized vaccine hesitancy survey instrument. Vaccine, 37 (18), 2494-2501.

Malik, A A et al (2020). Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine, 26, 1-8.

Massarani, L et al. Confiança na Ciência no Brasil em Tempos de Pandemia. https://www.fiocruzbrasilia.fiocruz.br/pesquisa-indica-reducao-da-confianca-na-ciencia-e-nas-vacinas-no-brasil/

Neely, S R et al (2022). Vaccine hesitancy and exposure to misinformation: a survey analysis. Journal of General Internal Medicine, 37 (13), 1-9.

Paliy, O & Shankar, V (2016). Application of multivariate statistical techniques in microbial ecology. Molecular Ecology, 25 (5), 1032-1057.

Pazol, K et al (2017). Receipt of selected preventive health services for women and men of reproductive age—United States, 2011–2013. Morbity and Mortality Weekly Report Surveillance Summaries, 66 (20), 1-31.

Pereira, A et al. (2018). Metodologia da pesquisa científica. Santa Maria, Rio Grande do Sul: UFSM.

Raghupathi, V & Raghupathi, W (2020). The influence of education on health: an empirical assessment of OECD countries for the period 1995–2015. Archives of Public Health, 78 (20), 1-18.

Reiter, P L; Pennell, M L & Katz, M L (2020). Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?. Vaccine, 38 (42), 6500-6507.

Wake, A D (2021). The willingness to receive COVID-19 vaccine and its associated factors: “vaccination refusal could prolong the war of this pandemic” – a systematic review. Risk Management and Healthcare Policy, 14, 2609-2623.

Wibawa, T (2021). COVID-19 vaccine research and development: ethical issues. Tropical Medicine and International Health, 26 (1), 14-19.

Wu, J T.; Leung, K & Leung, G M (2020). Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. The Lancet, 395 (10225), 689-697.

Published

24/08/2024

How to Cite

RODRIGUES, B. F. .; VIEIRA , M. F. .; BARROS , G. B. S. . Epidemiological study of the correlation between sociodemographic factors and adherence to vaccination against COVID-19 in the South macroregion of Minas Gerais. Research, Society and Development, [S. l.], v. 13, n. 8, p. e9713846655, 2024. DOI: 10.33448/rsd-v13i8.46655. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/46655. Acesso em: 16 oct. 2024.

Issue

Section

Health Sciences