Evidence map›Paper›PMID 37475059›Full record

ArticleArchives of public health = Archives belges de sante publique2023

A distributional regression approach to modeling the impact of structural and intermediary social determinants on communities burdened by tuberculosis in Eastern Amazonia - Brazil.

Clóvis Luciano Giacomet, Antônio Carlos Vieira Ramos, Heriederson Sávio Dias Moura, Thaís Zamboni Berra, Yan Mathias Alves, Felipe Mendes Delpino, Jason E Farley, Nancy R Reynolds, Jonas Bodini Alonso, Titilade Kehinde Ayandeyi Teibo and 1 more

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Clóvis Luciano GiacometInterunits PhD Program in Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Antônio Carlos Vieira RamosGraduate Program in Public Health Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Heriederson Sávio Dias MouraGraduate Program in Public Health Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Thaís Zamboni BerraGraduate Program in Public Health Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Yan Mathias AlvesGraduate Program in Public Health Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Felipe Mendes DelpinoGraduate Program in Public Health Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Jason E FarleyThe Center for Infectious Disease and Nursing Innovation, Johns Hopkins School of Nursing, Baltimore, United States of America.
Nancy R ReynoldsThe Center for Infectious Disease and Nursing Innovation, Johns Hopkins School of Nursing, Baltimore, United States of America.
Jonas Bodini AlonsoResearch Support Center, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Titilade Kehinde Ayandeyi TeiboGraduate Program in Public Health Nursing, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil.
Ricardo Alexandre ArcêncioDepartment of Maternal and Child Nursing and Public Health, University of São Paulo College of Nursing at Ribeirão Preto, Ribeirão Preto, Brazil. ricardo@eerp.usp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico , Brasil scholarship Research productivity fellowship at the 1C level - process 304483/2018-4Coordenação de Aperfeiçoamento de Pessoal de Nível Superior code 001
6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a disease that is influenced by social determinants of health. However, the specific structural and intermediary determinants of TB in Eastern Amazonia remain unclear. Despite being rich in natural resources, the region faces significant challenges related to poverty, inequality, and neglected diseases. The objective of this study was to use mathematical modeling to evaluate the influence of structural and intermediary determinants of health on TB in Eastern Amazonia, Brazil.

methodsThis cross-sectional included all TB cases diagnosed and registered in the Notifiable Diseases Information System (SINAN) from 2001 to 2017. Data on social determinants were collected at the census tract level. The generalized additive model for location, scale, and shape (GAMLSS) framework was employed to identify the effect of social determinants on communities with a high TB prevalence. The Double Poisson distribution (DPO) was chosen, and inclusion of quadratic effects was tested.

resultsA total of 1730 individuals were diagnosed with TB and reported in SINAN during the analyzed period. The majority were female (59.3%), aged 31 to 59 years (47.6%), identified as blacks (67.9%), and had incomplete elementary education (46.6%). The prevalence of alcoholism was 8.6% and mental illness was 0.7%. GAMLSS analyses demonstrated that the risk of community incidence of TB is associated with the proportion of the population lacking basic sanitation, as well as with the age groups of 16-31 years and > 61 years.

conclusionsThe study highlights the strategic utility of GAMLSS in identifying high-risk areas for TB. Models should encompass a broader range of social determinants to inform policies aimed at reducing inequality and achieving the goals of the End TB strategy.

Indexed as

Ecological studiesEpidemiologyGAMLSSSocial determinants of health

Identifiers

PMID37475059
PMCPMC10357703

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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.