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MENINGITE: ASPECTOS EPIDEMIOLÓGICOS DA DOENÇA NA REGIÃO NORTE DO BRASIL

2017· article· pt· W2743805459 on OpenAlexaff
Fellipe Camargo Ferreira Dias, Carlos Alberto Rodrigues, Cerize Rodrigues Lima Cardoso, Fernanda Paula Fernandes dos Santos Veloso, Roniel Thalles Almeida da Silva Rosa, Benta Natânia Silva Figueiredo

Bibliographic record

VenueRevista de Patologia do Tocantins · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsMedicineContext (archaeology)EtiologyBacterial meningitisGynecologyMeningitisPediatricsGeographyInternal medicine

Abstract

fetched live from OpenAlex

A região Norte do Brasil é considerada zona endêmica de diversas doenças infectocontagiosas, das quais podemos citar a meningite. A doença possui diversos fatores causais, sendo que a etiologia viral é a mais comum, porém a de origem bacteriana apresenta-se como responsável pela maior taxa de mortalidade. Entretanto, apesar da sua relevância no contexto de saúde pública na região Norte do país, poucos são os estudos publicados sobre a meningite na região. Nesse sentido, foi realizado um estudo transversal com o objetivo de traçar o perfil dos indivíduos acometidos por essa doença no Norte do Brasil entre os anos de 2012 e 2015. Os dados foram obtidos no banco de dados oficial do Sistema de Informação de Agravos de Notificação (SINAN). No período de estudo, ocorreu queda no número de casos notificados, houve predominância do sexo masculino, da faixa etária entre 0 e 19 anos e de etiologia bacteriana. Este trabalho, associado a estimativas globais, pode fornecer subsídios para ações de prevenção e controle da meningite na região Norte. Palavras-chave: Meningite; Região Norte; Brasil; Epidemiologia. ABSTRACT Northern region of Brazil is considered an endemic area of several infectious diseases, such as meningitis. The disease has several causal factors, and the viral etiology is the most common, but the bacterial origin is responsible for the highest mortality rate. However, despite its relevance in the context of public health in the northern region of the country, there are a few published studies on meningitis in the region. So, a cross-sectional study was carried out with the objective of tracing the profile of the individuals affected by this disease in Northern Brazil between the years of 2012 and 2015. Data were collected from the official database of the notification of injury information system. During the study period, there was a decrease in the number of cases reported, there was a predominance of males, ages ranging from 0 to 19 years and bacterial etiology. This work, combined with global estimates, can provide subsidies for prevention and control of meningitis in the North. Keywords: Meningitis; Northern Brazil; Epidemiology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.153
GPT teacher head0.447
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2017
Admission routes1
Has abstractyes

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