Evidence map›Paper›PMID 40136141›Full record

ArticleCadernos de saude publica2025

Multidimensional poverty indicators in Brazil's Legal Amazon.

Camila de Moura Vogt, Ricardo Bruno Nascimento Dos Santos, Danilo Araújo Fernandes

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Camila de Moura VogtUniversidade Federal de Santa Maria, Santa Maria, Brasil.ORCID 0000-0002-5693-9637
Ricardo Bruno Nascimento Dos SantosUniversidade Federal do Pará, Belém, Brasil.ORCID 0000-0001-9459-1582
Danilo Araújo FernandesUniversidade Federal do Pará, Belém, Brasil.ORCID 0000-0003-1326-9626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In public health research, socioeconomic indicators play a crucial role. They are essential for understanding the relation between poverty and health issues, as well as for allocating resources to public health infrastructure and providing appropriate treatments to the population. Traditionally, income has been the main indicator for measuring poverty, by establishing a poverty line that distinguishes those considered not poor or not vulnerable (above the line) from those categorized as poor or vulnerable (below the line). The one-dimensional analysis of poverty, however, shows limitations, particularly in regions with high epidemiological complexity and highly vulnerable populations, such as Brazil's Legal Amazon. This paper discusses and estimates a multidimensional approach to poverty in Brazil's Legal Amazon based on the multidimensional poverty index (MPI) according to the Alkire-Foster (2010) methodology. As a socioeconomic indicator, the MPI considers not only income, but also other indicators related to public health that affect the well-being of populations. The use of a multidimensional indicator allows a more complete understanding of socioeconomic and living conditions, facilitating the formulation of public policies. The results of the calculated indicator, MPI - Legal Amazon, show important differences in the characteristics of rural poverty, as well as in the intensity and incidence of this poverty, which are not identified by one-dimensional income indicators. The paper concludes that the multidimensional approach is key to address the complex issues of public health and socioeconomic development in the region.

Indexed as

PovertyBrazilHumansIncomePublic HealthRural PopulationSocioeconomic FactorsVulnerable Populations

Identifiers

PMID40136141
PMCPMC11940851

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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.