ArticlePloS one2021
Burden of disease among the world's poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Critical care delivery across health care systems in low-income and low-middle-income country settings: A systematic review.Journal of global health · 2023Pooled it
- Pooled it
- Article
- Economic Impact of Periodontitis: Global, Regional and National Estimates of Periodontal Expenditure, With Forecasts to 2050.Journal of periodontal research · 2026Article
- Factors associated with severe pneumonia in adults hospitalised with community-acquired pneumonia in Mongolia.BMC public health · 2026Article
- Global, Regional, and National Burden and Trends of Hypertensive Heart Disease Among Women of Childbearing Age from 1992 to 2021.International journal of women's health · 2026Article
- Development of a collaborative chronic care model for management of cardiometabolic disease in low- and middle-income countries.PloS one · 2026Article
- Epidemiology of acute myeloid leukemia in children and adolescents (1990-2021): a global burden of disease study.Die Naturwissenschaften · 2025Article
- Advancing Doctoral and Postdoctoral International Bioethics Training Programs Supported by the D43 National Institutes of Health (NIH) Fogarty Mechanism.Journal of empirical research on human research ethics : JERHRE · 2025Article
- The Influence of Improved Access to Alcohol-Based Hand Rub and Hand Hygiene Training in Healthcare Facilities on Hand Hygiene Adherence in Belize During COVID-19: June 2021-August 2022.International journal of environmental research and public health · 2025Article
- Comparative Analysis of Diagnostic Techniques for Helicobacter pylori Infection: Insights for Effective Therapy.Journal of cellular and molecular medicine · 2025Article
- Digital Health Technologies in Pediatric Infectious Disease and the Perspective of Patients and Healthcare Professionals: A Review.Health science reports · 2025Article
- COST AND POLLUTANTS EMISSION REDUCTION WITH A TELEMEDICINE PROGRAM FOR HIP SURGERY IN BRAZIL.Acta ortopedica brasileira · 2025Article
- The prevalence and risk factors of respiratory symptoms in Finland: a comparative analysis.European clinical respiratory journal · 2025Article
- Enhancing blood availability in Latin America: A study on public perceptions and barriers to blood donation in Guatemala during the COVID-19 pandemic.PLOS global public health · 2025Article
- Observational
- Promotion of Cardiovascular Health in Africa: The Alliance for Medical Research in Africa (AMedRA) Expert Panel.JACC. Advances · 2024Review
- Centre-based childcare in early childhood and child obesity: systematic review and meta-analysis protocol.BMJ open · 2024Article
- Barriers and enablers to the effective implementation of omics research in low- and middle-income countries.Nature biotechnology · 2024Article
- A new scale to assess health-facility level management: the development and validation of the facility management scale in Ghana, Uganda, and Malawi.BMC health services research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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 disease rates by cause for the world's poorest billion and compared these rates to those in high-income populations.
methodsWe defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study 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 fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating 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 comparisons with estimates for high-income countries.
resultsThe 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-standardized 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.
conclusionThe 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 communicable, 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.