Evidence map›Paper›PMID 42718304›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2026

Deaths from infectious respiratory diseases in the Indigenous population: spatial and time series analysis, Minas Gerais, 2000-2023.

Paulo Filipe Silva Siqueira, Daví Barbosa Pereira de Sousa, Ana Flávia Gamarano Moreira, Brian Dos Santos Marchi, Guilherme da Costa Teixeira, Patrícia Ferraz Martins, Waneska Alexandra Alves

Abstract read
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Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2026. 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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Paulo Filipe Silva SiqueiraUniversidade Federal de Juiz de Fora, Governador Valadares, MG, Brazil.ORCID https://orcid.org/0009-0003-1058-6113
Daví Barbosa Pereira de SousaUniversidade Federal de Lavras, Lavras, MG, Brazil.ORCID https://orcid.org/0009-0006-5228-6946
Ana Flávia Gamarano MoreiraUniversidade Federal de Juiz de Fora, Governador Valadares, MG, Brazil.ORCID https://orcid.org/0000-0001-5879-2408
Brian Dos Santos MarchiUniversidade Federal de Juiz de Fora, Governador Valadares, MG, Brazil.ORCID https://orcid.org/0009-0006-3187-8547
Guilherme da Costa TeixeiraPrefeitura Municipal de Governador Valadares, Secretaria Municipal de Saúde, Governador Valadares, MG, Brazil.ORCID https://orcid.org/0009-0001-9989-0167
Patrícia Ferraz MartinsUniversidade Federal de Juiz de Fora, Governador Valadares, MG, Brazil.ORCID https://orcid.org/0009-0008-9894-4945
Waneska Alexandra AlvesUniversidade Federal de Ouro Preto, Ouro Preto, MG, Brazil.ORCID https://orcid.org/0000-0002-2893-8768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the temporal trend and spatial distribution of deaths from respiratory tract infections in the Indigenous population residing in Minas Gerais, Brazil, between 2000 and 2023. Methods: Methods: Time-series and multiple-group analysis of deaths recorded in the Brazilian Mortality Information System (Sistema de Informação sobre Mortalidade, SIM), coded according to the underlying cause of death as respiratory tract infections based on the International Classification of Diseases (ICD). The number of deaths was calculated according to demographic and clinical characteristics. In the trend analysis, the Joinpoint regression model was used to estimate the annual percent change (APC), and for spatial analysis, the global and local Moran's I indices were applied. Results: A total of 271 deaths were recorded, predominantly affecting females (51.7%), widowed individuals (30.3%), those with low educational level (49.1%), and older adults (62.7%). In 65.3% of cases, the infection affected the lower respiratory tract, and in 53.5% of cases, the etiologic agent was unspecified. Health macroregions exhibited a downward trend in deaths between 2020 and 2023, namely Central (APC -6.1), East (APC -38.3), and North (APC -25.0). Spatial analysis using Moran's quadrants identified significant clusters of deaths in São João das Missões, Belo Horizonte, and Bertópolis. Conclusion: The results demonstrated a high number of deaths among older adults, with marked temporal and territorial inequalities. Specific and sustained public policies are needed to prevent health inequities and ensure equitable access to health services for Indigenous Peoples, alongside improvements to health information systems.

Indexed as

Indians, South AmericanRespiratory Tract InfectionsAdolescentAdultAgedAge DistributionBrazilCause of DeathChildChild, PreschoolFemaleHumansInfantInfant, NewbornInformation SystemsMaleHealth Information SystemsIndigenous PeoplesMortalityRespiratory Tract InfectionsTime Series Studies

Identifiers

PMID42718304
PMCPMC13101430

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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.