Evidence map›Paper›PMID 38611611›Full record

ArticleDiagnostics (Basel, Switzerland)2024

COVID-19 and Tuberculosis: Mathematical Modeling of Infection Spread Taking into Account Reduced Screening.

Anna Starshinova, Nikolay Osipov, Irina Dovgalyk, Anastasia Kulpina, Ekaterina Belyaeva, Dmitry Kudlay

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

6 authors.

Anna StarshinovaAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.ORCID 0000-0002-9023-6986
Nikolay OsipovDepartment of Steklov Mathematical, Institute of Russian Academy of Sciences, 191023 St. Petersburg, Russia.ORCID 0000-0002-5391-3917
Irina DovgalykResearch Institute of Phthisiopulmonology, 190961 St. Petersburg, Russia.
Anastasia KulpinaAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Ekaterina BelyaevaRepublic TB Healthcare Dispensary, 185032 Petrozavodsk, Russia.
Dmitry KudlayDepartment of Pharmacology, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia.ORCID 0000-0003-1878-4467

Funding

Federal Almazov North-West Medical Research Centre 075-15-2021-602.
6 · The paper itself

Abstract

The COVID-19 pandemic resulted in the cessation of many tuberculosis (TB) support programs and reduced screening coverage for TB worldwide. We propose a model that demonstrates, among other things, how undetected cases of TB affect the number of future

Indexed as

bacterial excretionCOVID-19dynamic systemincidencemathematical modelscreening for tuberculosistuberculosis

Identifiers

PMID38611611
PMCPMC11011507

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.