Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032

BackgroundMeasles remains a major disease burden on children and adolescents in BRICS-plus countries (Brazil, Russia, India, China, South Africa, and five others) despite vaccine efficacy. This study aims to clarify the temporal trend of measles burden and forecast the trend in 2032.MethodsData from...

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Main Authors: Hongxia Yuan, Bingju Yan, Yiran Chong, Le Wang, Yong Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Microbiology
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Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2025.1612124/full
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author Hongxia Yuan
Hongxia Yuan
Bingju Yan
Yiran Chong
Le Wang
Yong Jiang
author_facet Hongxia Yuan
Hongxia Yuan
Bingju Yan
Yiran Chong
Le Wang
Yong Jiang
author_sort Hongxia Yuan
collection DOAJ
description BackgroundMeasles remains a major disease burden on children and adolescents in BRICS-plus countries (Brazil, Russia, India, China, South Africa, and five others) despite vaccine efficacy. This study aims to clarify the temporal trend of measles burden and forecast the trend in 2032.MethodsData from the Global Burden of Disease (GBD) 2021 were utilized to analyze the prevalence, incidence, mortality, and disability-adjusted life years (DALYs) of measles in BRICS-plus countries. In addition, the association between the social development index (SDI) and measles-related indicators of children and adolescents in BRICS-plus countries was analyzed. Joinpoint regression was performed to identify temporal trends, while the age-period-cohort model was used to assess demographic effects. The Bayesian Age-Period-Cohort (BAPC) and Autoregressive Integrated Moving Average (ARIMA) models were utilized to project indicators to 2032.ResultsFrom 1990 to 2021, the global prevalence of measles dropped by 92% (with an average annual decline of 6.80%), and the average annual decline rates for incidence, mortality, and DALYs were 6.80, 8.02, and 8.02%, respectively. Saudi Arabia had a 100% reduction in prevalence (with an average annual decrease of 15.20%), Ethiopia had the highest DALYs (124542.02), and Russia had the lowest DALYs (1.74). SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. Joinpoint analysis indicated that the global burden of measles declined, but its mortality in China sharply increased from 2019 to 2021 (APC = 191.88). The BAPC model predicted that by 2032, the global burden of measles will continue to decline, India will still have the highest prevalence (130.96), Russia may have no new cases, and Brazil and South Africa will have controllable local risks. ARIMA models showed similar trends.ConclusionThe declining burden of measles in BRICS-plus countries is correlated with SDI improvement, but low-income countries such as Ethiopia still face a high burden of measles. Children under 5 years and regions with low vaccination rates require prioritized interventions. The burden of measles will continue to decrease in the next decade, and increasing vaccination coverage in high-burden countries will help achieve the goal of measles elimination.
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spelling doaj-art-662b6df999e84490a5fb10c60fdb61d32025-07-24T05:32:58ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-07-011610.3389/fmicb.2025.16121241612124Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032Hongxia Yuan0Hongxia Yuan1Bingju Yan2Yiran Chong3Le Wang4Yong Jiang5Division of Infectious Diseases, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, ChinaCollaborative Innovation Center for Prevention and Control of Zoonoses of Jinzhou Medical University, Jinzhou, ChinaDepartment of Cardiology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, ChinaDivision of Infectious Diseases, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, ChinaDivision of Hyperbaric Oxygen, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, ChinaModern Industrial School of Health Management, Jinzhou Medical University, Jinzhou, ChinaBackgroundMeasles remains a major disease burden on children and adolescents in BRICS-plus countries (Brazil, Russia, India, China, South Africa, and five others) despite vaccine efficacy. This study aims to clarify the temporal trend of measles burden and forecast the trend in 2032.MethodsData from the Global Burden of Disease (GBD) 2021 were utilized to analyze the prevalence, incidence, mortality, and disability-adjusted life years (DALYs) of measles in BRICS-plus countries. In addition, the association between the social development index (SDI) and measles-related indicators of children and adolescents in BRICS-plus countries was analyzed. Joinpoint regression was performed to identify temporal trends, while the age-period-cohort model was used to assess demographic effects. The Bayesian Age-Period-Cohort (BAPC) and Autoregressive Integrated Moving Average (ARIMA) models were utilized to project indicators to 2032.ResultsFrom 1990 to 2021, the global prevalence of measles dropped by 92% (with an average annual decline of 6.80%), and the average annual decline rates for incidence, mortality, and DALYs were 6.80, 8.02, and 8.02%, respectively. Saudi Arabia had a 100% reduction in prevalence (with an average annual decrease of 15.20%), Ethiopia had the highest DALYs (124542.02), and Russia had the lowest DALYs (1.74). SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. Joinpoint analysis indicated that the global burden of measles declined, but its mortality in China sharply increased from 2019 to 2021 (APC = 191.88). The BAPC model predicted that by 2032, the global burden of measles will continue to decline, India will still have the highest prevalence (130.96), Russia may have no new cases, and Brazil and South Africa will have controllable local risks. ARIMA models showed similar trends.ConclusionThe declining burden of measles in BRICS-plus countries is correlated with SDI improvement, but low-income countries such as Ethiopia still face a high burden of measles. Children under 5 years and regions with low vaccination rates require prioritized interventions. The burden of measles will continue to decrease in the next decade, and increasing vaccination coverage in high-burden countries will help achieve the goal of measles elimination.https://www.frontiersin.org/articles/10.3389/fmicb.2025.1612124/fullmeaslesBRICS-plusjoinpointage-period-cohort modelBayesian age-period-cohortARIMA
spellingShingle Hongxia Yuan
Hongxia Yuan
Bingju Yan
Yiran Chong
Le Wang
Yong Jiang
Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032
Frontiers in Microbiology
measles
BRICS-plus
joinpoint
age-period-cohort model
Bayesian age-period-cohort
ARIMA
title Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032
title_full Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032
title_fullStr Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032
title_full_unstemmed Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032
title_short Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032
title_sort time trend of measles burden on children and adolescents in brics plus countries from 1990 to 2021 and prediction to 2032
topic measles
BRICS-plus
joinpoint
age-period-cohort model
Bayesian age-period-cohort
ARIMA
url https://www.frontiersin.org/articles/10.3389/fmicb.2025.1612124/full
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