Evidence map›Paper›PMID 37975001›Full record

ReviewBiophysical reviews2023

Quantitative measurement of influenza virus transmission in animal model: an overview of current state.

Galina Onkhonova, Andrei Gudymo, Maksim Kosenko, Vasiliy Marchenko, Alexander Ryzhikov

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biophysical reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Galina OnkhonovaFederal Budgetary Research Institution State Research Center of Virology and Biotechnology "Vector" Rospotrebnadzor, Koltsovo, 630559 Russia.ORCID 0000-0002-1547-1708
Andrei GudymoFederal Budgetary Research Institution State Research Center of Virology and Biotechnology "Vector" Rospotrebnadzor, Koltsovo, 630559 Russia.
Maksim KosenkoFederal Budgetary Research Institution State Research Center of Virology and Biotechnology "Vector" Rospotrebnadzor, Koltsovo, 630559 Russia.
Vasiliy MarchenkoFederal Budgetary Research Institution State Research Center of Virology and Biotechnology "Vector" Rospotrebnadzor, Koltsovo, 630559 Russia.
Alexander RyzhikovFederal Budgetary Research Institution State Research Center of Virology and Biotechnology "Vector" Rospotrebnadzor, Koltsovo, 630559 Russia.
State Research Center of Virology and Biotechnology VECTOR · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza virus transmission is a crucial factor in understanding the spread of the virus within populations and developing effective control strategies. Studying the transmission patterns of influenza virus allows for better risk assessment and prediction of disease outbreaks. By monitoring the spread of the virus and identifying high-risk populations and geographic areas, it is possible to allocate resources more effectively, implement timely interventions, and provide targeted healthcare interventions to diminish the burden of influenza virus on vulnerable populations. Theoretical models of virus transmission are used to study and simulate of influenza virus spread within populations. These models aim to capture the complex dynamics of transmission, including factors such as population size, contact patterns, infectiousness, and susceptibility. Animal models serve as valuable tools for studying the dynamics of influenza virus transmission. This article presents a brief overview of existing research on the qualitative and quantitative study of influenza virus transmission in animal models. We discuss the methodologies employed, key insights gained from these studies, and their relevance.

Indexed as

Airborne transmissionAnimal modelsDirect contactInfluenza virusQuantitative measurementRespiratory dropletsTransmission

Identifiers

PMID37975001
PMCPMC10643727
OpenAlexW4386498183

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.