Evidence map›Paper›PMID 37496829›Full record

ArticleInfectious Disease Modelling2023

Mathematical modeling for Delta and Omicron variant of SARS-CoV-2 transmission dynamics in Greece.

Sofia Liossi, E Tsiambas, S Maipas, E Papageorgiou, A Lazaris, N Kavantzas

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Sofia Liossi1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital "Laikon", Athens, Greece.
E TsiambasDepartment of Cytopathology, 417 Army Equity Fund Hospital (NIMTS), Athens, Greece.
S Maipas1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital "Laikon", Athens, Greece.
E PapageorgiouDepartment of Biomedical Sciences, School of Health & Welfare Sciences, University of West Attica, Egaleo, Greece.
A Lazaris1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital "Laikon", Athens, Greece.
N Kavantzas1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital "Laikon", Athens, Greece.
National and Kapodistrian University of Athens · GRNIMTS Hospital · GRUniversity of West Attica · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A compartmental, epidemiological, mathematical model was developed in order to analyze the transmission dynamics of Delta and Omicron variant, of SARS-CoV-2, in Greece. The model was parameterized twice during the 4th and 5th wave of the pandemic. The 4th wave refers to the period during which the Delta variant was dominant (approximately July to December of 2021) and the 5th wave to the period during which the Omicron variant was dominant (approximately January to May of 2022), in accordance with the official data from the National Public Health Organization (NPHO). Fitting methods were applied to evaluate important parameters in connection with the transmission of the variants, as well as the social behavior of population during these periods of interest. Mathematical models revealed higher numbers of contagiousness and cases of asymptomatic disease during the Omicron variant period, but a decreased rate of hospitalization compared to the Delta period. Also, parameters related to the behavior of the population in Greece were also assessed. More specifically, the use of protective masks and the abidance of social distancing measures. Simulations revealed that over 5,000 deaths could have been avoided, if mask usage and social distancing were 20% more efficient, during the short period of the Delta and Omicron outbreak. Furthermore, the spread of the variants was assessed using viral load data. The data were recorded from PCR tests at 417 Army Equity Fund Hospital (NIMTS), in Athens and the Ct values from 746 patients with COVID-19 were processed, to explain transmission phenomena and disease severity in patients. The period when the Delta variant prevailed in the country, the average Ct value was calculated as 25.19 (range: 12.32-39.29), whereas during the period when the Omicron variant prevailed, the average Ct value was calculated as 28 (range: 14.41-39.36). In conclusion, our experimental study showed that the higher viral load, which is related to the Delta variant, may interpret the severity of the disease. However, no correlation was confirmed regarding contagiousness phenomena. The results of the model, Ct analysis and official data from NPHO are consistent.

Indexed as

Ct valueData fittingDelta variantMathematical modelingOmicron variantTransmission dynamics

Identifiers

PMID37496829
PMCPMC10366468
OpenAlexW4383375908

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.