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Record W4400504893 · doi:10.61948/prevmed-2024-2-8

CHARACTERISTICS OF THE EPIDEMIC PROCESS OF SCARLET FEVER IN MODERN CONDITIONS

2024· article· en· W4400504893 on OpenAlexaboutno aff
N. V. Bilera

Bibliographic record

VenuePreventive medicine Theory and practice · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
Fundersnot available
KeywordsScarlet feverProcess (computing)VirologyMedicineComputer scienceDermatology

Abstract

fetched live from OpenAlex

S carlet fever is one of the most common nosological forms of group A streptococcal infection (SGA). In recent years, there has been an increase in the incidence of this infection in the countries of Europe and Asia, the USA and Canada. The analysis of professional publications of different countries of the world regarding the manifestations of the epidemic process of scarlet fever was carried out, as well as information on epidemiological studies conducted by the authors was provided. It has been established that children remain the leading risk group for scarlet fever, men are more often affected among adults, but the role of young women who care for children as a source of infection is increasing. The aerosol-aspiration mechanism of transmission of the causative agent of scarlet fever is realized by airborne and contact-household ways of its transmission. There is an intensification of the contact-household way of transmission of the pathogen. An atypical course of scarlet fever is observed with manifestations of co-infection, in particular, gastroenterocolitis, chicken pox and respiratory infections. A significant number of publications are devoted to the influence of environmental factors on the course of the epidemic process of scarlet fever. The authors note a direct correlation between the incidence of scarlet fever and atmospheric air pollutants, meteorological factors, as well as the influence of social and economic factors on the epidemic situation of this infection. Long-term use of antibiotics has contributed to the development of antibiotic resistance to the most common drugs, which prompts scientists to develop vaccines against iSGA. So, scarlet fever is characterized by widespread distribution, impression of mainly children, co-infection, atypical clinical course, especially in immunocompromised persons, and implementation of the contact-household way of transmission of the pathogen. The influence of social, natural and environmental factors on the course of the epidemic process of scarlet fever has been established, which is important to consider when conducting epidemiological surveillance of this infection. The introduction of vaccination against iSGA will contribute to the reduction of antibiotic resistance, which is currently a global problem for humanity. We consider it necessary to include scarlet fever and other iSGA in the list of infectious diseases subject to registration in Ukraine. Key words: scarlet fever, incidence, risk groups, ways of pathogen transmission, atypical course, co-infection, environmental factors, antibiotic resistance.

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)0.000
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.334
Teacher spread0.320 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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