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Record W3134936091 · doi:10.15789/1563-0625-lvc-2060

Lassa virus: characterization of infectious agent, biological models for pathogenesis studies and variants of vaccine

2021· article· en· W3134936091 on OpenAlexaboutno aff
E. I. Kazachinskaya, V. S. Aripov, A. V. Zaikovskaya, А. М. Шестопалов

Bibliographic record

VenueMedical Immunology (Russia) · 2021
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsnot available
Fundersnot available
KeywordsLassa virusMedicineLassa feverTransmission (telecommunications)VirusAsymptomaticArenavirusPneumoniaVirologyOutbreakImmunologyPediatricsInternal medicineImmune systemLymphocytic choriomeningitis

Abstract

fetched live from OpenAlex

Lassa virus (LASV) is classified into genus Mammarenavirus of Arenaviridae family. This virus is etiological agent of Lassa fever (LF) which is widespread in Africa. On average, in four out of five infected people, LF occurs without symptoms. The annual incidence ranges from 100,000 to 500,000 registered clinical cases, at a mortality rate of 1-2%. Among hospitalized patients with severe symptoms of hemorrhagic fever, this figure may be from 14 to 89.5%. Signs of an adverse outcome in LF are open bleeding and disorders of CNS (convulsions, tremor, disorientation and coma). Death occurs from multiple organ failure. Severely ill people recover slowly and may have relapses and complications such as pneumonia, myocarditis, psychosis, and hearing loss. Transmission of the virus in endemic territories occurs by alimentary way, air-dust and airborne droplets from a zoonotic source – rodents of the species African multimammate rat (Mastomys natalensis), by accidental contacts of people with their secretions (urine, feces, saliva) as well as when butchering carcasses and eating rodents. These animals are characterized by asymptomatic carrier and life-long persistence of the virus. Cases of transmission of the virus from person to person through the blood or other body fluids of patients are described. A sick person is contagious for two months, because the virus circulates in the blood despite high levels of antibodies. Infection of medical staff occurs during emergency surgical operations, or when the rules of contact precautions are not observed. Currently, with the ongoing LF outbreak in Nigeria, since 2016, hospitals have registered mortality rates of 22 and 8% for patients and health workers, respectively. During 1969-2016, 33 imported cases of this disease were described from West Africa to non-endemic territories (in the USA, Canada, Great Britain, the Netherlands, Germany, Israel and Japan). The mortality rate among these patients was 39%. The lack of prophylactic vaccines and specific therapeutic drugs is the major challenge for the prevention of LF. Thus, this review considers biological models (cell cultures and animals) that are suitable for studying the pathogenesis of this disease, preclinical studies of the specific activity and harmlessness of candidate vaccines, as well as options for these developments based on the platforms such as inactivated LASV and its DNA, the reassortant of Mopeia arenavirus, and measles virus attenuated strains, recombinant and replication-defective viruses (smallpox vaccine, Venezuelan equine encephalitis, bovine vesicular stomatitis, adenovirus of chimpanzee) and virus-like particles.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.067
GPT teacher head0.353
Teacher spread0.286 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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