DSpace Repository

Burden of disease among the world’s poorest billion people: an expert-informed secondary analysis of global burden of disease estimates

Show simple item record

dc.contributor.author Coates, Matthew M.
dc.contributor.author Ezzati, Majid
dc.contributor.author Aguilar, Gisela Robles
dc.contributor.author Kwan, Gene F.
dc.contributor.author Vigo, Daniel
dc.contributor.author Mocumbi, Ana O.
dc.contributor.author Becker, Anne E.
dc.contributor.author Makani, Julie
dc.contributor.author Hyder, Adnan A.
dc.contributor.author Jain, Yogesh
dc.contributor.author Stefan, D. Cristina
dc.contributor.author Gupta, Neil
dc.contributor.author Marx, Andrew
dc.contributor.author Bukhman, Gene
dc.date.accessioned 2024-06-11T07:16:35Z
dc.date.available 2024-06-11T07:16:35Z
dc.date.issued 2021-08
dc.identifier.other https://pubmed.ncbi.nlm.nih.gov/34398896/
dc.identifier.uri http://www.repositorio.uem.mz/handle258/1022
dc.description.abstract The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated dis- ease rates by cause for the world’s poorest billion and compared these rates to those in high-income populations.We defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of DiseaseStudy and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatal- ity of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggre- gating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made com- parisons with estimates for high-income countries.The composition of disease burden among the poorest billion, as measured by disability- adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-stan- dardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high- income regions.The disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communica- ble, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the “unfinished agenda” of poor health among those living in extreme poverty. en_US
dc.language.iso eng en_US
dc.publisher PLoS ONE en_US
dc.rights openAcess en_US
dc.subject Burden of disease en_US
dc.subject Poor health en_US
dc.subject Global Burden of Disease en_US
dc.title Burden of disease among the world’s poorest billion people: an expert-informed secondary analysis of global burden of disease estimates en_US
dc.type article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account