Evidence map›Paper›PMID 36091848›Full record

ArticleHerald of the Russian Academy of Sciences2022

Agent-Based Simulation of the COVID-19 Epidemic in Russia.

G N Rykovanov, S N Lebedev, O V Zatsepin, G D Kaminskii, E V Karamov, A A Romanyukha, A M Feigin, B N Chetverushkin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Herald of the Russian Academy of Sciences, 2022. 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
–field-weighted citation impact
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.

  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

8 authors.

G N RykovanovRussian Federal Nuclear Center‒Zababakhin All-Russia Scientific Research Institute of Technical Physics, Snezhinsk, Russia.
S N LebedevRussian Federal Nuclear Center‒Zababakhin All-Russia Scientific Research Institute of Technical Physics, Snezhinsk, Russia.
O V ZatsepinRussian Federal Nuclear Center‒Zababakhin All-Russia Scientific Research Institute of Technical Physics, Snezhinsk, Russia.
G D KaminskiiNational Medical Research Center of Phthisiopulmonology and Infectious Diseases, Moscow, Russia.
E V KaramovNational Medical Research Center of Phthisiopulmonology and Infectious Diseases, Moscow, Russia.
A A RomanyukhaMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia.
A M FeiginInstitute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia.
B N ChetverushkinKeldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has created a public health emergency in Russia and across the world. The wavelike spread of the new coronavirus infection, caused by newly emerging variants of the coronavirus, has led to a high incidence rate in all subjects of the Russian Federation. It is becoming extremely topical to get the opportunity to manage the development of the epidemic and assess the impact of certain regulatory measures on this process. This will help government agencies make informed decisions to control the burden on healthcare organizations. It is often impossible to obtain such assessments without using modern mathematical models.

Indexed as

COVID-19 pandemicforecast for the development of the COVID-19 epidemicmathematical modeling

Identifiers

PMID36091848
PMCPMC9447941

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.