Analysis of mortality due to communicable and maternal and child diseases: an ecological study based on worldwide data

Authors

DOI:

https://doi.org/10.33448/rsd-v12i1.39553

Keywords:

Communicable disease control; Prevalence; Per capita income; Basic sanitation; Maternal health; Mortality.

Abstract

Objective: to assess the prevalence of mortality from communicable and maternal and children diseases in different countries and world regions, comparing with the population < 14 years, per capita income, Human Capital Index (HCI) and basic sanitation. Methods: observational study of the ecological type. Data collection was carried out through the World Bank Group, where information from 266 world regions and countries was extracted in 2019, except for the HCI (2020). Bivariate and multivariate analysis was performed using linear progression, with the outcome being the prevalence of mortality from communicable and maternal-children diseases. Results: The results obtained showed a negative correlation for per capita income, HCI and basic sanitation, in a proportion of decrease in mortality of 0,05%, 11,1% and 0,4%, respectively. Age <14 years has a positive influence on mortality from communicable and maternal-children diseases, with an increase of 1.6% in mortality for every 1% in the prevalence of this younger population. Conclusion: Thus, it was seen that economic and sociodemographic disparities significantly influence mortality from infectious and maternal and child diseases. Therefore, the need for public health interventions is evident, focusing on prenatal care and maternal health, in addition to health surveillance, tracking and control of communicable diseases.

References

Alkire, S., & Santos, M. (2011). Training material for producing national human development reports: the Multidimensional Poverty Index (MPI) (Publisher's version). Oxford Poverty & Human Development Initiative (OPHI). https://ora.ox.ac.uk/objects/uuid:f9358328-533b-439c-be18-44bd94627ac0.

Antonovics, J., Wilson, A. J., Forbes, M. R., Hauffe, H. C., Kallio, E. R., Leggett, H. C., Longdon, B., Okamura, B., Sait, S. M., & Webster, J. P. (2017). The evolution of transmission mode. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 372(1719), 20160083. https://doi.org/10.1098/rstb.2016.0083.

Araújo, C. (2014). Tratamento da diarreia aguda. Porto: Universidade Fernando Pessoa Faculdade de Ciências da Saúde. https://bdigital.ufp.pt/bitstream/10284/4866/1/PPG_26079.pdf.

Becker, G. S. (1964). Human Capital: a Theoretical and Empirical Analysis, with Special Reference to Education. Chicago: University of Chicago Press. https://books.google.com.br/books?hl=en&lr=&id=9t69iICmrZ0C&oi=fnd&pg=PR9&ots=WyBsiZQveQ&sig=B0oxxYKKWGKf92tUt71o2p3MJrc&redir_esc=y#v=onepage&q=isbn&f=false.

Benhabib, J., Spiegel, M. M. (1994) The role of human capital in economic development evidence from aggregate cross-country data. Journal of Monetary Economics. 34(2),143–73. https://doi.org/10.1016/0304-3932(94)90047-7.

Berkman, L. F. (2009) Social epidemiology: social determinants of health in the United States: are we losing ground? Annu Rev Public Health. 30,27-41. doi: 10.1146/annurev.publhealth.031308.100310.

GBD 2016 Disease and Injury Incidence and Prevalence Collaborators (2017). Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet (London, England), 390(10100), 1211–1259. https://doi.org/10.1016/S0140-6736(17)32154-2.

GBD 2019 Diseases and Injuries Collaborators (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet (London, England), 396(10258), 1204–1222. https://doi.org/10.1016/S0140-6736(20)30925-9.

Hammer, C., Brainard J (2017). Risk factors for communicable diseases in complex emergencies, a systematic review of the literature. European Journal of Public Health. 27(suppl 3). https://doi.org/10.1093/eurpub/ckx186.162.

Lewnard, J. A., & Reingold, A. L. (2019). Emerging Challenges and Opportunities in Infectious Disease Epidemiology. American journal of epidemiology, 188(5), 873–882. https://doi.org/10.1093/aje/kwy264

Lim, S. S., Updike, R. L., Kaldjian, A. S., Barber, R. M., Cowling, K., York, H., Friedman, J., Xu, R., Whisnant, J. L., Taylor, H. J., Leever, A. T., Roman, Y., Bryant, M. F., Dieleman, J., Gakidou, E., & Murray, C. J. L. (2018). Measuring human capital: a systematic analysis of 195 countries and territories, 1990-2016. Lancet (London, England), 392(10154), 1217–1234. https://doi.org/10.1016/S0140-6736(18)31941-X.

Malta, M., Cardoso, L. O., & Bastos, F. I., Magnanini, M. M. F., & da Silva, C. M. F. P. (2010). Iniciativa STROBE: subsídios para a comunicação de estudos observacionais. Revista de Saúde Pública. 44(3):559-565. DOI: 10.1590/S0034-89102010000300021

Merchán-Hamann, E., & Tauil, P. L. (2021). Proposta de classificação dos diferentes tipos de estudos epidemiológicos descritivos Epidemiol. Serv. Saude. 30(1),e2018126. https://doi.org/10.1590/s1679-49742021000100026.

Ministério da saúde (BR) (2010). Módulos de Princípios de Epidemiologia para o Controle de Enfermidades. Módulo 2: Saúde e doença na população. Brasília, Organização Pan-Americana da Saúde: Ministério da Saúde.

Ministério da Saúde (BR) (2012). Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Política Nacional de Atenção Básica / Ministério da Saúde. Secretaria de Atenção à Saúde. Brasília: Ministério da Saúde.

Ministério da Saúde (BR) (2021). Secretaria de Vigilância em Saúde. Departamento de Articulação Estratégica de Vigilância em Saúde. Guia de Vigilância em Saúde. (5a ed). Brasília: Ministério da Saúde.

Mohan, P., Mohan, S. B. & Dutta M. (2019). Communicable or noncommunicable diseases? Building strong primary health care systems to address double burden of disease in India. J Family Med Prim Care. 8(2), 326-329. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436242/.

Nandi, A., Megiddo, I., Ashok, A., Verma, A., & Laxminarayan, R. (2017). Reduced burden of childhood diarrheal diseases through increased access to water and sanitation in India: A modeling analysis. Social science & medicine (1982), 180, 181–192. https://doi.org/10.1016/j.socscimed.2016.08.049.

Nixon, J., & Ulmann, P. (2006). The relationship between health care expenditure and health outcomes. Evidence and caveats for a causal link. The European journal of health economics: HEPAC: health economics in prevention and care, 7(1), 7–18. https://doi.org/10.1007/s10198-005-0336-8.

Nuhu, K. M., McDaniel J.T., Alorbi, G.A., Ruiz, J, I. (2018) Effect of healthcare spending on the relationship between the Human Development Index and maternal and neonatal mortality. International Health. 10(1),33–9. https://doi.org/10.1093/inthealth/ihx053.

Nunes Chaves, J. N., Araújo Cunha, G., Silva Chaves, T., Araújo Corrêa, A., Carvalho Santana, E. E., & Seabra Nogueira, R. de M. (2021). Parasitoses intestinais e fatores de risco associados em crianças em um município do Nordeste Brasileiro. Revista De Ciências Médicas E Biológicas, 20(2), 286–295. https://doi.org/10.9771/cmbio.v20i2.33619.

Osterholm M. T. (1994). Infectious disease in child day care: an overview. Pediatrics, 94(6 Pt 2), 987–990.

The World Bank (2019). GDP per capita (current US$). Worldbank.org. https://data.worldbank.org/indicator/NY.GDP.PCAP.CD

The World Bank (2019). People using safely managed sanitation services (% of population). Worldbank.org. https://data.worldbank.org/indicator/SH.STA.SMSS.ZS

The World Bank (2019). Population ages 0-14 (% of total population). Worldbank.org. https://data.worldbank.org/indicator/SP.POP.0014.TO.ZS

The World Bank (2020). Human Capital Index (HCI) (scale 0-1). Worldbank.org. https://data.worldbank.org/indicator/HD.HCI.OVRL

United Nations Children’s Fund (2020). Levels & Trends in Estimates developed by the UN Inter-agency Group for Child Mortality Estimation Child Mortality Report 2020 United Nations. https://www.unicef.org/media/79371/file/UN-IGME-child-mortality-report-2020.pdf.pdf.

Wisconsin department of health services (2014). Communicable Diseases. Wisconsin department of health services. https://www.dhs.wisconsin.gov/disease/communicable.htm#:~:text=Communicable%20diseases%2C%20also%20known%20as,human%20or%20other%20animal%20host.

World Health Organization & United Nations Children's Fund (‎UNICEF)‎. (‎2019)‎. Progress on household drinking water, sanitation and hygiene 2000-2017: special focus on inequalities. World Health Organization. https://apps.who.int/iris/handle/10665/329370.

World Health Organization (2019). Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total). Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization. who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death.

World Health Organization (WHO) and Maternal and Child Epidemiology Estimation Group (MCEE) (2018). Child causes of death, 2000- 2017. Geneva, World Health Organization. https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/child-mortality-and-causes-of-death

Published

04/01/2023

How to Cite

TENFEN, A. S. .; FRASSON, G. de S. .; KOCK, K. de S. . Analysis of mortality due to communicable and maternal and child diseases: an ecological study based on worldwide data. Research, Society and Development, [S. l.], v. 12, n. 1, p. e12412139553, 2023. DOI: 10.33448/rsd-v12i1.39553. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/39553. Acesso em: 27 jan. 2023.

Issue

Section

Health Sciences