Accelerated Aging of the Brazilian Population
A Comparative Analysis: New Possibilities for Methodological Integration of Innovative Technologies in an Analytical-Territorial Platform
Abstract
The availability of Spatial Statistics analytical techniques in combination with predictive models based on artificial intelligence, Social Network Analysis (SNA) and Natural Language Processing (NLP) have transformed scientific investigations and opened up possibilities for predicting scientific and social phenomena observed over the territory. This chapter discusses the convenience and urgency of potential studies of integration (especially for the elderly population), to offer scientific observations even more scope of meaning. The discussion is about the accelerated population aging process experienced by Brazil, compared to the slower and more natural course of population aging that occurred in old world countries, which did not go through growth cycles as intense as those that caused the Brazilian demographic boom in the 20th century. This is a good example of the complexity that the analysis promised by these contemporary techniques can face and provide new analytical clues and insights.
Downloads
References
A. Abbasi, L. Hossain, L. Leydesdorff. 2012. “Betweenness centrality as a driver of preferential attach-ment in the evolution of research collaboration networks”. Journal of Informetrics, v. 6, n. 3, p. 403-412. Doi:10.1016/j.joi.2012.01.002.
A. D. P. Chiavegatto Filho. 2015. “Uso de big data em saúde no Brasil: perspectivas para um futuro próxi-mo”. Aplicações Da Epidemiologia. Epidemiol. Serv. Saúde 24 (2) Apr-Jun, 2015. https://doi.org/10.5123/S1679-49742015000200015
A. J. A. M. Van Deursen, E. Helsper. 2015. “The Third-Level Digital Divide: Who Benefits Most from Being Online?” In: ROBINSON, L.; COTTEN, S. R.; SCHULZ, J. Communication and Information Technolo-gies Annual. [S.l.]: Emerald Group Publishing Limited, 2015. p. 29-52. http://dx.doi.org/10.1108/S2050-206020150000010002.
A. Scheerder, A. J. A. M. Van Deursen, J. A. G. M. Van Dijk. 2017. “Determinants of Internet Skills, Uses and Outcomes. A Systematic Review of the Second- and Third-Level Digital Divide”. Telematics and Informatics, v. 34, n. 8, p. 1607-1624, 2017. http://dx.doi.org/10.1016/j.tele.2017.07.007.
Anadil Alsaqabi, Fatimah Aldhubayi, Saleh Albahli. 2019. “Using machine learning for prediction of fac-tors affecting crimes in Saudi Arabia”. In: 2019 International Conference on Big Data Engineering. Proceedings, p. 57-62, 2019.
Anselin, Luc. 1988. Spatial Econometrics: Methods and Models. Dordrecht, Holanda: Kluwer
Antoni Magri, Steve Lynch. 2008. “Geostatistical Analyst – An Introduction”. In: ESRI USER CONFEREN-CE, 28, San Diego, CA.
Ariel Pares; Beatrice Valle. 2006. “A retomada do planejamento governamental no Brasil e seus desafios”. p. 229 a 270. In: Planejamento e Orçamento Governamental – Coletânea – Volume 1. Org.: GIACO-MONI, James; PAGNUSSAT, José Luiz. Brasília: ENAP.
B. Huang, B. Wu, M. Barry. 2010. “Geographically and Temporally Weighted Regression for Modeling Spa-tio-Temporal Variation in House Prices”. International Journal of Geographical Information Science 24(3):383-401. DOI: 10.1080/13658810802672469.
B. Niehaves, R. Plattfault. 2014. “Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide”. European Journal of Information Sys-tems, v.23, p.708-726, 2014.
Burnham, Kenneth P., Anderson, David R. 2002. Model Selection and Multimodel Inference: A Practical-Theoretic Approach. 2nd ed. New York: Springer.
C. Carlsson, P. Walden. 2016. “Digital Wellness Services for Young Elderly- a Missed Opportunity for Mo-bile Services”. Journal of Theoretical and Applied Electronic Commerce Research.
C. K. Prahalad, V. Ramaswamy. 2003. “The new Frontier of Experience Innovation”. Sloan Management Review, Vol 44, nº 4, pp. 12-18
C. O’Reilly, M. L. Tushman. 2004. “The Ambidextrous organizations”. Harvard Business Review, Vol. 82, nº 4, apr 2004, pp. 74-81.
Carlos Augusto Grabois Gadelha, Laís Silveira Costa. 2012. “Saúde e desenvolvimento no Brasil: avanços e desafios”. Revista de Saúde Pública, v. 46, p. 13-20.
Carlos C. Rodríguez. 2005. “The ABC of Model Selection: AIC, BIC and the New CIC”. In: INTERNATIONAL WORKSHOP ON BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGENEERING, 25., San José, CA. Anais ... San José, CA: AIP, 2005, v. 803, p. 80-87.
CCdC – Com Conhecimento De Causa. 2021. Plataforma Longeviver. Disponível em https://longeviver.com/
Christensen, C. M. 2003. O Crescimento pela Inovação. RJ: Campus.
Cruz, E. 2020. Estudantes da UFPR ajudam no auxílio emergencial: até ‘presidente da República’ atende-ram. Tribuna. Disponível em: https://www.tribunapr.com.br/noticias/curitiba-regiao/estudantes-da-ufpr-ajudam-no-auxilio-emergencial-ate-presidente-da-republica-atenderam/. Acesso em: 4 nov. 2020.
Da Kuang,, P. Jeffrey Brantingham, Andrea L. Bertozzi. 2017. “Crime topic modeling”. Crime Science, 6(1):12.
Di Serio, Luiz Carlos; Vasconcellos, M. A. 2008. Estratégia e Competitividade Empresarial - Inovação e Criação de Valor. Saraiva S/A Livreiros e Editores. v. 1. 364 pg.
Doh, Michael. 2017. Inclusão digital e protagonismo do idoso no seminário Sec. de Envelhecimento. FE-COMÉRCIO RS – SESC. Especialista alemão aborda inclusão digital e protagonismo do idoso no Se-minário Sesc de Envelhecimento,30 ago. 2017. pág. 1. Disponível em: <https://www.sesc-rs.com.br/noticias/especialista-alemao-aborda-inclusao-digital-e-protagonismo-do-idoso-no-seminario-sesc-de-envelhecimento/>. Acesso em: 06 de Junho de 2020.
Eduardo de Rezende Francisco. 2011. “RAE-eletrônica: exploração do acervo à luz da bibliometria, geo-análise e redes sociais”. RAE Rev. adm. empres. [online]. 2011, vol.51, n.3, pp.280-306. [viewed 23 August 2017]. ISSN 0034-7590. DOI: 10.1590/S0034-75902011000300008. Available from: http://ref.scielo.org/chjbgs.
Eduardo de Rezende Francisco et al. 2009. “Development of an Indicator of Propensity to Energy Com-mercial Losses using Geospatial Statistical Techniques and Socio-Economic Data: the Case of AES Eletropaulo”. In: ENCONTRO DA ANPAD, 33., 2009, São Paulo. Anais eletrônicos ... São Paulo: AN-PAD, 2009.
E. R. Francisco, J. L. Kugler, C. L. C. Larieira. 2017. “Líderes da transformação digital”, GV EXECUTIVO 16 (2), 22-27, 2017.
Fávero, G. 2020. Voluntários do Cefet vão ajudar a preencher cadastro do auxílio emergencial. BHAZ. Disponível em: Voluntários do Cefet vão ajudar a preencher cadastro do auxílio emergencial. Aces-so em: 4 nov. 2020.
Flavio Ignes Tristão, Rita de Cássia Duarte Lima, Eliane de Fátima Almeida Lima, Maria Angélica Carvalho Andrade. 2016. “Acessibilidade e utilização na atenção básica: reflexões sobre o absenteísmo dos usuários”. In: Rev. Bras. Pesq. Saúde, Vitória, 18(1): 54-61, jan-mar, 2016.
Foreman, John W. 2013. DATA SMART: Using data science to transform information into insight. Indiana-polis, USA: Wiley, 2013. 432 p.
Fotheringham, A., Brunsdon, C., Charlton, M. 2002. Geographically Weighted Regression: the analysis of spatially varying relationships. John Wiley & Sons.
Francisco, E. R. 2010. Indicadores de renda baseados em consumo de energia elétrica: abordagens domi-ciliar e regional na perspectiva da estatística espacial, FUNDAÇÃO GETULIO VARGAS.
G. Blank, M. Graham, C. Calvino. 2018. “Local Geographies of Digital Inequality”. Social Science Compu-ter Review, v. 36, n. 1, p. 82-102, 2018. http://dx.doi.org/10.1177/0894439317693332.
G. Boeing. 2019. “Online rental housing market representation and the digital reproduction of urban inequality”. Environment and Planning A: Economy and Space, v. 52, n. 2, p. 449-468. http://dx.doi.org/10.1177/0308518X19869678.
Gabriella Morais Duarte Miranda, Antonio da Cruz Gouveia Mendes, Ana Lucia Andrade Da Silva. 2016. “O envelhecimento populacional brasileiro: desafios e consequências sociais atuais e futuras”. Revista Brasileira de Geriatria e Gerontologia, v. 19, n. 3.
Geoff C. Hay et al. 2007. “Spatial variation in the association between neighbourhood deprivation and access to alcohol outlets”. In: ANNUAL COLLOQUIUM OF THE SPATIAL INFORMATION RE-SEARCH CENTRE – SIRC 2007, 19, University of Otago, Dunedin, New Zealand.
Giacomoni, James. Orçamento Público. 2001. 10ª Edição. São Paulo: Atlas.
Gilberto Câmara et al. 2003. “Tutorial Análise Geográfica”. In: CONGRESSO GEOBRASIL 2003, São Paulo.
Gilberto Câmara, Eduardo Camargo. 2002. “Análise Espacial de Dados Geográficos”. In: CONGRESSO GEOBRASIL 2002, São Paulo.
H. Hashimi, A. Hafez, H. Mathkou. 2015. “Selection criteria for text mining approaches”. Computers in Human Behavior, n. 51, p. 729-733. Doi: 10.1016/j.chb.2014.10.062.
H. W. Chesbrough. 2003. “The Era of Open Innovation”. Sloan Management Review, Vol 44, nº 3, Spring 2003, pp. 35-41
H. W. Chesbrough. 2007. “Why Companies Shoud Have Open Business Models”. Sloan Management Re-view, Vol 48, nº 2, winter 2007, pp. 22-28.
Hargittai, E. 2002. Second-Level Digital Divide: Differences in People’s Online Skills. First Monday, v. 7, n. 4, http://dx.doi.org/10.5210/fm.v7i4.942.
Hongwei Lu et al. 2006. “Modelling Meso-Level Marketing Phenomena Using Geographically Weighted Regression”. In: ANZMAC 2006 CONFERENCE, Brisbane, Australia.
I. Feinerer, K. Hornik, D. Meyer. 2008. “Text mining infrastructure in R”. Journal of Statistical Software, v. 25, n. 5, p. 1-54, 2008. Doi: 10.18637/jss.v025.i05.
IPEA – Instituto de Pesquisa Econômica Aplicada. 2020. Os Dependentes da Renda dos Idosos e o Coro-navírus: Órfãos ou Novos Pobres? Ana Amélia Camarano. Nota Técnica – 2020 – Julho – Número 81 – Disco. 27 Julho 2020. Disponível em: https://www.ipea.gov.br/portal/images/stories/PDFs/nota_tecnica/200724_nt_disoc_n_81_web.pdf
J. E. R. Favaretto, E. R. Francisco. 2017. “Exploração do acervo da RAE-Revista de Administração de Em-presas (de 1961 a 2016) à luz da bibliometria, text mining, rede social e geoanálise”. RAE Rev. adm. empres. [online]. vol.57, n.4, pp.365-390. [viewed 29 August 2017]. ISSN 0034-7590. DOI: 10.1590/s0034-759020170407. Available from: http://ref.scielo.org/k4nqwz
J. J. Corcoran, I. D. Wilson, A. Ware. 2003. “Predicting the geo-temporal variations of crime and disorder”. In: International Journal of Forecasting, 19, p. 623–634.
J. Mingers, L. A. Leydesdorff. 2015. “Review of theory and practice in scientometrics”. European Journal of Operational Research, n. 246, p. 1-19. Doi: 10.1016/j.ejor.2015.04.002.
Jae-Gil Lee; Minseo Kang. 2015. “Geospatial Big Data: Challenges and Opportunities”. Big Data Research, 2, p. 74-91.
Jesper Holgersson, Eva Söderström, Rose Jeremy. 2019. “Digital Inclusion of Elderly Citizens for a Sustai-nable Society”. Conference: ECIS, Stockholm, Sweden
L. de Floriani. 1987. “Data structures for encoding triangulated irregular networks”. Advances in Engi-neering Software, v. 9, n. 3, p. 122-128, 1987. Doi: 10.1016/0141-1195(87)90001-5.
Lima-Costa, Maria Fernanda; Veras, Renato. 2003. Saúde pública e envelhecimento.
M. C. Couto, E. R. Francisco. 2017. “The Grass is Always Greener on the Other Side: Market Expansion as a Growth Strategy for a Health Products Business in Brazil”. In: EnANPAD 2017 – XLI Encontro da AN-PAD, 2017, São Paulo. Anais do EnANPAD 2017, p.1-16.
M. N. Karnel Boulos, G. Peng, T. VoPham. 2019. “An overview of GeoAI applications in health and healthcare”. International Journal of Health Geographics, 18:7 . https://doi.org/10.1186/s12942-019-0171-2
Marston, Hannah Ramsden; Genoe, Rebecca; Freeman, Shannon; Kulczycki, Cory; Musselwhite, Charles. 2019. Healthcare 2019, 7, 86; doi:10.3390/healthcare7030086 . Disponível em www.mdpi.com/journal/healthcare
Meagan Cahill, Gordon Mulligan. 2007. “Using Geographically Weighted Regression to Explore Local Cri-me Patterns”. Social Science Computer Review, v. 25, n. 2, p. 174-193.
Michael Porter, Mark Kramer. 2006. “Strategy and society: the link between competitive advantage and corporate social responsibility”. Harvard Business Review, p. 1-15, December, 2006.
Min Chen, Yixue Hao, Kai Hwang, Lu Wang, Lin Wang. 2017. “Disease Prediction by Machine Learning Over Big Data From Healthcare Communities”. Special Section on Healthcare Big Data. IEEE Ac-cess, Volume 5.
Nasser Bagheri, Alec Holt, George L. Benwell. 2009. “Using Geographically Weighted Regression to Vali-date Approaches for Modelling Accessibility to Primary Health Care”. Journal Applied Spatial Analysis and Policy, v. 2, n. 3, p. 177-194, Oct. 2009.
O. Ozturk. 2020. “Bibliometric review of resource dependence theory literature: an overview”. Manage-ment Review Quarterly, Springer Nature Switzerland AG 2020.
Oatley, G. C.; Ewart, B. W.; Zeleznikow, J. 2004. Decision Support Systems For Police: Lessons From The Application of Data Mining Techniques To 'Soft' Forensic Evidence.
Paulo M. Saad. 2016. “Envelhecimento populacional: demandas e possibilidades na área de saúde”. Séries Demográficas, v. 3, p. 153-166.
Pfeiffer, Peter. 2000. Planejamento estratégico municipal no Brasil: uma nova abordagem. Texto para discussão, 37, 37 p. Brasília: ENAP.
Pimentel, T. 2020. Coronavírus: associação oferece internet de graça para moradores de favela de BH fazerem cadastro do auxílio emergencial. G1. Disponível em: https://g1.globo.com/mg/minas-gerais/noticia/2020/04/09/coronavirus-associacao-oferece-internet-de-graca-para-moradores-de-favela-de-bh-fazerem-cadastro-do-auxilio-emergencial.ghtml. Acesso em: 4 nov. 2020.
Poder360. 2020. Morte de idosos por covid retira R$ 3,8 bilhões da economia. Disponível em: https://www.poder360.com.br/economia/morte-de-idosos-por-covid-retira-r-38-bilhoes-da-economia/
Reinaldo G. Gregori, Fernando Link. 2006. “A cientifização dos negócios: visão geral e estudo de caso do setor financeiro”. In: Guimarães, José R. S. Demografia dos Negócios: campo de estudo, perspecti-vas e aplicações. Campinas: ABEP. p. 97-130.
Rogério Penna, Eduardo de Rezende Francisco. 2004. “Entendendo os Data Warehouses Espaciais”. Info-GEO, n. 35, p. 51-52, set./out. 2004.
Sen, Amartya. 2018. Desenvolvimento como liberdade. Editora Companhia das Letras.
Smith, Michael J.; Goodchild, Michael F.; Longley, Paul. 2007. Geospatial analysis : a comprehensive gui-de to principles, techniques and software tools. Leicester, UK: Matador.
SPI – Social Progress Index. 2020. Disponível em https://www.socialprogress.org/,2020)
Sudip Deuja. 2018. “Geospatial big data handling and challenges”. In: International Conference on Big Data and Artificial Intelligence. China.
T. Inkinen, M. Merisalo, T. Makkonen. 2018. “Variations in the adoption and willingness to use e-services in three differentiated urban areas”. European Planning Studies, v. 26, n. 5, p. 950-968, 2018. http://dx.doi.org/10.1080/09654313.2018.1448756.
T. M. Oshan, Z. Li, W. Kang, L. J. Wolf, A. S. Fotheringham. 2019. “MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale”. ISPRS International Journal of Geo-Information, 8(6) 269 2019. doi:10.3390/ijgi8060269 https://www.mdpi.com/2220-9964/8/6/269/pdf
Tomlinson, Roger. 2003. Thinking About GIS. Geographic Information System Planning for Managers. Redlands, CA: ESRI Press.
Tomoki Nakaya. 2003. “Local spatial interaction modeling based on the geographically weighted regres-sion approach”. In: BOOTS, Barry; OKABE, Atsuyuki; THOMAS, Richard. Modelling geographical systems: statistical and computational applications. Dordrecht: Kluwer Academic, 2003. p. 45-68.
V. Kayser, K. Blind. 2017. “Extending the knowledge base of foresight: The contribution of text mining”. Technological Forecasting and Social Change, n. 116, p. 208-215. Doi: 10.1016/j.techfore.2016.10.017.
Vikas Mittal, Wagner A. Kamakura, Rahul Govind. 2004. “Geographic Patterns in Customer Service and Satisfaction: An Empirical Investigation”. Journal of Marketing, v. 68, p. 48-62, Jul. 2004.
Vinicius S. Oliveira. 2003. “Regressão ponderada geograficamente para os dados do Censo IBGE 2000 de São Paulo – SP”. In: ENCITA 2003, 9., São José dos Campos, SP.
W. C. Kim, R. A. Mauborgne. 1997. “Value innovation: The strategic logic of high growth”. Harvard Busi-ness Review, v. 75, n.1, jan-feb 1997, pp. 103-112.
W. Mendes Da Silva, L. Rossoni, B. S. Conte, C. C. Gattaz, E. R. Francisco. 2016. “The impacts of fundra-ising periods and geographic distance on financing music production via crowdfunding in Brazil”, Journal of Cultural Economics 40 (1), 75-99.
W. W. Hood, C. S. Wilson. 2001. “The literature of bibliometrics, scientometrics, and informetrics”. Scien-tometrics, v. 52, n. 2, p. 291-314. Doi: 10.1023/A:1017919924342.
Wullianallur Raghupathi, Viju Raghupathi. 2014. “Big data analytics in healthcare: promise and potential”. Health information science and systems, v. 2, n. 1, p. 3.
Copyright (c) 2022 Eduardo de Rezende Francisco, Rubens Costa de Almeida, José Dinis Veloso Camelo Pacheco, Lisa Kalil de Almeida (Autor/a)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Those authors who have publications with this journal, accept the following terms:
a. Authors will retain their copyrights and guarantee the journal the right of first publication of their work, which will be simultaneously subject to the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA Recognition License). 4.0) that allows third parties to share the work as long as its author and its first publication are indicated in this journal.
Under this open access license, readers (users) can:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
Under the following terms:
-
Attribution — Users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
NonCommercial — Users may not use the material for commercial purposes.
-
ShareAlike — If remix, transform, or build upon the material, users must distribute your contributions under the same license as the original.
- No additional restrictions — Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
b. Authors may adopt other non-exclusive license agreements for the distribution of the version of the published work (eg: deposit it in an institutional telematic archive or publish it in a monographic volume) provided that the initial publication in this journal is indicated.
c. Authors are allowed and recommended to disseminate their work through the Internet (e.g. in institutional telematic files or on their website) before and during the submission process, which can lead to interesting exchanges and increase citations of the published work. (See The effects of open access).
