Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic

Detalhes bibliográficos
Autor(a) principal: Maria Laura Lopes Miranda
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/60064
Resumo: The COVID-19 pandemic has caused a significant rise in mortality rates, interrupting historical trends and making it challenging to forecast future life expectancy levels in many places. São Paulo, the first city in Brazil to report a COVID-19 case and death saw a decrease of over four years in life expectancy at birth for males and over three years for females between 2019 and 2021. São Paulo has been at the forefront of the demographic transition in the country and experienced a non-linear mortality decline over the 20th century. The city's historical mortality trajectory and the disruptive effects of COVID-19 have introduced challenges to mortality forecasting. In this study, we used a unique dataset starting from 1920 to forecast life expectancy in São Paulo until 2050 using the Lee-Carter (LC) and Lee-Miller (LM) methods. Our methodology included a combination of forecasts based on different baseline periods, ranging from 1920 to 1995 until 2021, and six scenarios for post-pandemic mortality levels. Based on 73,200 simulations for each year between 2022 and 2050, we synthesized the resulting life expectancy forecasts into median values and 95% prediction intervals (PI). By 2050, we predict that life expectancy at birth in the city will reach approximately 81.9 years for men and 88.9 years for women. Despite the COVID-19 pandemic, our results presented significantly higher forecasts than what was predicted by the most recent forecast in 2013. Additionally, we estimated within the 95% PI that by 2045, both male and female life expectancy in São Paulo could reach the levels of the best-performing countries.
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spelling Cássio Maldonado Turrahttp://lattes.cnpq.br/3731419801596355Ugofilippo BaselliniBernardo Lanza QueirozEnrique Acostahttp://lattes.cnpq.br/8056305594960156Maria Laura Lopes Miranda2023-10-25T21:24:41Z2023-10-25T21:24:41Z2023-09-28http://hdl.handle.net/1843/60064The COVID-19 pandemic has caused a significant rise in mortality rates, interrupting historical trends and making it challenging to forecast future life expectancy levels in many places. São Paulo, the first city in Brazil to report a COVID-19 case and death saw a decrease of over four years in life expectancy at birth for males and over three years for females between 2019 and 2021. São Paulo has been at the forefront of the demographic transition in the country and experienced a non-linear mortality decline over the 20th century. The city's historical mortality trajectory and the disruptive effects of COVID-19 have introduced challenges to mortality forecasting. In this study, we used a unique dataset starting from 1920 to forecast life expectancy in São Paulo until 2050 using the Lee-Carter (LC) and Lee-Miller (LM) methods. Our methodology included a combination of forecasts based on different baseline periods, ranging from 1920 to 1995 until 2021, and six scenarios for post-pandemic mortality levels. Based on 73,200 simulations for each year between 2022 and 2050, we synthesized the resulting life expectancy forecasts into median values and 95% prediction intervals (PI). By 2050, we predict that life expectancy at birth in the city will reach approximately 81.9 years for men and 88.9 years for women. Despite the COVID-19 pandemic, our results presented significantly higher forecasts than what was predicted by the most recent forecast in 2013. Additionally, we estimated within the 95% PI that by 2045, both male and female life expectancy in São Paulo could reach the levels of the best-performing countries.A pandemia da COVID 19 desencadeou um aumento sem precedentes nos níveis de mortalidade, interrompendo tendências históricas e dificultando as projeções de expectativa de vida em diversos locais . São Paulo, a primeira cidade no Brazil a registrar caso s e morte s por COVID 19, registrou entre 2019 e 2021 quedas de mais de quatro anos na expectativa de vida ao nascer para homens e de mais de três anos para mulheres. São Paulo esteve na vanguarda da transição demográfica do país e apresentou queda não linear da mortalidade ao longo do século XX. A trajetória histórica da mortalidade de São Paulo e, mais recentemente, os efeitos disruptivos d a COVID 19, apresentaram desafios à projeção de mortalidade n a cidade . Neste estudo, usamos um conjunto de dados único iniciado em 1920 para projetar a expectativa de vida em São Paulo até 2050 usando os métodos Lee Carter (LC) e Lee Miller (LM). Nossa metodologia incluiu o uso de uma combinação de estimativas baseadas em diferentes períodos de ajuste , entre 1920 e 1995 até 20 21, e seis cenários para níveis de mortalidade pós pandemia. Baseado em 73.200 simulações para cada ano entre 2022 e 2050, as projeções de expectativa de vida foram sumarizadas em valores medianos e intervalos de predição ( de 95%. Até 2050, estimamos que a expectativa de vida ao nascer na cidade chegará a aproximadamente 81,9 anos para homens e 88,9 para mulheres. Apesar da ocorrência da pandemia de COVID 19, nossos resultados apresentaram estimativas significativamente superiores ao previsto pela projeção mais recente realizada em 2013. Além disso, dentro do IP de 95%, estimamos que até 2045, tanto a expectativa de vida masculina quanto feminina em São Paulo poderia atingir os níveis dos países com melhor desempenho.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorengUniversidade Federal de Minas GeraisPrograma de Pós-Graduação em DemografiaUFMGBrasilFCE - DEPARTAMENTO DE DEMOGRAFIAhttp://creativecommons.org/licenses/by-nd/3.0/pt/info:eu-repo/semantics/openAccessMortalidadeCOVID-19 (Doença)São Paulo (SP)Demografiamortality forecastingcovid-19Lee-CarterLee-MillerSão PauloForecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemicProjetando a expectativa de vida na cidade de São Paulo, Brasil, em meio à pandemia da COVID-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.ufmg.br/bitstream/1843/60064/2/license_rdf00e5e6a57d5512d202d12cb48704dfd6MD52ORIGINALForecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic.pdfForecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic.pdfapplication/pdf1978461https://repositorio.ufmg.br/bitstream/1843/60064/4/Forecasting%20life%20expectancy%20in%20S%c3%a3o%20Paulo%20city%2c%20Brazil%2c%20amidst%20the%20COVID-19%20pandemic.pdf653889072766df156b40ff630f23d5bdMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-82118https://repositorio.ufmg.br/bitstream/1843/60064/5/license.txtcda590c95a0b51b4d15f60c9642ca272MD551843/600642023-10-25 18:24:41.577oai:repositorio.ufmg.br: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ório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-25T21:24:41Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
dc.title.alternative.pt_BR.fl_str_mv Projetando a expectativa de vida na cidade de São Paulo, Brasil, em meio à pandemia da COVID-19
title Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
spellingShingle Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
Maria Laura Lopes Miranda
mortality forecasting
covid-19
Lee-Carter
Lee-Miller
São Paulo
Mortalidade
COVID-19 (Doença)
São Paulo (SP)
Demografia
title_short Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
title_full Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
title_fullStr Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
title_full_unstemmed Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
title_sort Forecasting life expectancy in São Paulo city, Brazil, amidst the COVID-19 pandemic
author Maria Laura Lopes Miranda
author_facet Maria Laura Lopes Miranda
author_role author
dc.contributor.advisor1.fl_str_mv Cássio Maldonado Turra
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3731419801596355
dc.contributor.advisor-co1.fl_str_mv Ugofilippo Basellini
dc.contributor.referee1.fl_str_mv Bernardo Lanza Queiroz
dc.contributor.referee2.fl_str_mv Enrique Acosta
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/8056305594960156
dc.contributor.author.fl_str_mv Maria Laura Lopes Miranda
contributor_str_mv Cássio Maldonado Turra
Ugofilippo Basellini
Bernardo Lanza Queiroz
Enrique Acosta
dc.subject.por.fl_str_mv mortality forecasting
covid-19
Lee-Carter
Lee-Miller
São Paulo
topic mortality forecasting
covid-19
Lee-Carter
Lee-Miller
São Paulo
Mortalidade
COVID-19 (Doença)
São Paulo (SP)
Demografia
dc.subject.other.pt_BR.fl_str_mv Mortalidade
COVID-19 (Doença)
São Paulo (SP)
Demografia
description The COVID-19 pandemic has caused a significant rise in mortality rates, interrupting historical trends and making it challenging to forecast future life expectancy levels in many places. São Paulo, the first city in Brazil to report a COVID-19 case and death saw a decrease of over four years in life expectancy at birth for males and over three years for females between 2019 and 2021. São Paulo has been at the forefront of the demographic transition in the country and experienced a non-linear mortality decline over the 20th century. The city's historical mortality trajectory and the disruptive effects of COVID-19 have introduced challenges to mortality forecasting. In this study, we used a unique dataset starting from 1920 to forecast life expectancy in São Paulo until 2050 using the Lee-Carter (LC) and Lee-Miller (LM) methods. Our methodology included a combination of forecasts based on different baseline periods, ranging from 1920 to 1995 until 2021, and six scenarios for post-pandemic mortality levels. Based on 73,200 simulations for each year between 2022 and 2050, we synthesized the resulting life expectancy forecasts into median values and 95% prediction intervals (PI). By 2050, we predict that life expectancy at birth in the city will reach approximately 81.9 years for men and 88.9 years for women. Despite the COVID-19 pandemic, our results presented significantly higher forecasts than what was predicted by the most recent forecast in 2013. Additionally, we estimated within the 95% PI that by 2045, both male and female life expectancy in São Paulo could reach the levels of the best-performing countries.
publishDate 2023
dc.date.accessioned.fl_str_mv 2023-10-25T21:24:41Z
dc.date.available.fl_str_mv 2023-10-25T21:24:41Z
dc.date.issued.fl_str_mv 2023-09-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/60064
url http://hdl.handle.net/1843/60064
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nd/3.0/pt/
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/3.0/pt/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Demografia
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv FCE - DEPARTAMENTO DE DEMOGRAFIA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
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