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Record W3127293962 · doi:10.25248/reac.e6256.2021

Fatores determinantes na caracterização da leptospirose como doença negligenciada: revisão integrativa

2021· article· pt· W3127293962 on OpenAlexaff
Francielly Baêta Lacerda, Paula Schwenck Pereira, Lúcia Meirelles Lobão

Bibliographic record

VenueRevista Eletrônica Acervo Científico · 2021
Typearticle
Languagept
FieldImmunology and Microbiology
TopicLeptospirosis research and findings
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesLeptospirosisMedicinePhilosophyVirology

Abstract

fetched live from OpenAlex

As doenças negligenciadas englobam as patologias que estão presentes nas populações com poucos recursos financeiros. O artigo aborda sobre a leptospirose, sendo essa uma enfermidade infecciosa sistêmica com transmissão, principalmente, por meio do contato com a urina de roedores. O objetivo foi revisar aspectos da leptospirose que possam caracterizá-la como doença negligenciada. Para tanto foi realizada uma revisão integrativa através da busca de artigos nos bancos de dados da SciELO e PubMed, e coleta de informações secundárias, sendo dados obtidos através da plataforma do SINAN. A análise dos resultados demonstra que a leptospirose é uma doença prevalente no Brasil e a população mais acometida pela doença é aquela que possui uma baixa renda. Foram comparados os casos da leptospirose com a dengue (uma doença considerada como negligenciada) e verificado que apesar da dengue ter um maior número de caso, a leptospirose apresenta um maior número de óbitos. Em suma, a leptospirose deve ser incluída como uma doença negligenciada, pois de acordo com a Lei 13.930/19 o percentual dos recursos do Programa de Fomento à Pesquisa da Saúde deve ser aplicado para intervenções essas doenças, logo essa patologia necessita de uma maior visibilidade para ser reduzida na população.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.004

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 head0.027
GPT teacher head0.290
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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

Citations4
Published2021
Admission routes1
Has abstractyes

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