Abstract
Vital statistics reflect the health status of a population, which are widely used in the formulation of important demographic indicators. The evolution of vital records in Brazil is marked by political factors and administrative instabilities that have compromised its quality and utility. Due to this commitment, the two main sources of vital records, the Brazilian Institute of Geography and Statistics and the Ministry of Health, do not capture all of these records, mainly in less developed regions such as the Northeast of Brazil with a population of 57 million inhabitants in 2016. Although there have been gradual advances in coverage of deaths in Brazil, the Northeast region has not yet reached full coverage of deaths (100%). Among the nine states that compose this region, coverage of deaths in 2011 ranged from 79% to 94%. In order to estimate the year in which the states of the Northeast will reach the full coverage of death records projections were performed on coverage of deaths for each state. The annual series of death coverage estimated by the Ministry of Health from 1991 to 2011 were used. The projections were made through the mathematical methods of projections: Logistic, Gompertz and Holt’s Exponential Smoothing Model. The Holt’s model, in general, was the best fit to the pattern of the series of coverage of deaths. The states were classified in three intervals of years when they reached 100% of coverage, which varied from 2019 to 2028. It is estimated that for the Northeast the full coverage of deaths will be reached during 2021–2025. It is expected that these scenarios can contribute to the planning strategies and to the evaluation of managers regarding the actions and policies to be implemented on the performance of death statistics in the Northeast and Brazil.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bezerra, J. (2008). Population ecology: The logistic curve and population growth (pp. 1–18). Campinas: NEPAM -UNICAMP.
IBGE, Diretoria de Pesquisas (DPE), Coordenação de População e Indicadores Sociais (COPIS). (2005). Projections of population of Brazil, large regions and units of Federation, by sex and age for the period 1991–2030. Rio de Janeiro.
Keyfitz, N. (1981). The limits of populations forecasting. Population and Development Review, 8, 579–593.
Lima, E. M. C., & Queiroz, B. L. (2014). The evolution of the mortality registry system in Brazil: Changes in the mortality profile, coverage of the death registry and the ill-defined causes of death. Cadernos de Saúde Pública, 30, 1721–1730.
Mello Jorge, M. H. P., Laurenti, R., & Gotlieb, S. L. D. (2007). An analysis of the quality of Brazilian vital statistics: The experience of SIM and SINASC implementation. Ciencia & Saúde Coletiva, 12, 643–654.
Mello Jorge, M. H. P., Laurenti, R., & Gotlieb, S. L. D. (2010). Evaluation of health information systems in Brazil. Cadernos de Saúde Coletiva, 18, 07–18.
Moretin, P. A., & Toloi, C. M. C. (2006). Time series analysis (2nd ed.). São Paulo: Blucher.
Paes, N. A. (2007). Quality of death statistics for unknown causes in Brazilian states. Revista de Saúde Pública, 41, 436–445.
Polignano, M. V. (2004). History of health policies in Brazil – A short review (pp. 1–35). Ministry of Health of Mato Grosso. Available at http://www.saude.mt.gov.br/ces/arquivo/2165/books. Accessed 25 June 2016.
Rede Interagencial de Informações para a Saúde no Brasil. (2012). Ripsa IDB. Available at http://tabnet.datasus.gov.br/cgi/idb2012/a1801b.htm. Accessed 25 June 2016.
Souza, V. J., Martinez, E. Z., & Nunes, A. A. (2010). Gompertz growth curves for the follow-up of high-risk children. Revista Brasileira De Biometria, 28, 39–58.
Szwarcwald, C. L., Neto, O. L. M., Frias, P. G., Junior, P. R. B. S., Escalante, J. C., Lima, R. B., e Viola, R. C. (2011). Active search for deaths and births in the northeast and in the legal Amazon: Estimation of coverage of SIM and SINASC in Brazilian municipalities. In Ministry of Health, organizer. Health Brazil 2010: An analysis of the health situation and selected evidence of impact of health surveillance actions (pp. 79–98). Brasília: Ministério da Saúde.
Thode, H. C. (2002). Testing for normality. New York: Marcel Dekker.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Paes, N.A., dos Santos Silva, A. (2018). Prospective Scenarios on Coverage of Deaths in Brazil. In: Skiadas, C., Skiadas, C. (eds) Demography and Health Issues. The Springer Series on Demographic Methods and Population Analysis, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-319-76002-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-76002-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76001-8
Online ISBN: 978-3-319-76002-5
eBook Packages: Social SciencesSocial Sciences (R0)