Evidence map›Paper›PMID 36302922›Full record

ArticleScientific reports2022

Sars-Cov2 world pandemic recurrent waves controlled by variants evolution and vaccination campaign.

Gaetano Campi, Andrea Perali, Augusto Marcelli, Antonio Bianconi

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Gaetano CampiInstitute of Crystallography, Consiglio Nazionale delle Ricerche CNR, Via Salaria Km 29.300, Monterotondo Roma, 00015, Rome, Italy. gaetano.campi@ic.cnr.it.ORCID 0000-0001-9845-9394
Andrea PeraliPhysics Unit, School of Pharmacy, University of Camerino, 62032, Camerino, MC, Italy. andrea.perali@unicam.it.ORCID 0000-0002-4914-4975
Augusto MarcelliINFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044, Frascati, RM, Italy.ORCID 0000-0002-8138-7547
Antonio BianconiInstitute of Crystallography, Consiglio Nazionale delle Ricerche CNR, Via Salaria Km 29.300, Monterotondo Roma, 00015, Rome, Italy. antonio.bianconi@ricmass.eu.ORCID 0000-0001-9795-3913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While understanding the time evolution of Covid-19 pandemic is needed to plan economics and tune sanitary policies, a quantitative information of the recurrent epidemic waves is elusive. This work describes a statistical physics study of the subsequent waves in the epidemic spreading of Covid-19 and disclose the frequency components of the epidemic waves pattern over two years in United States, United Kingdom and Japan. These countries have been taken as representative cases of different containment policies such as "Mitigation" (USA and UK) and "Zero Covid" (Japan) policies. The supercritical phases in spreading have been identified by intervals with RIC-index > 0. We have used the wavelet transform of infection and fatality waves to get the spectral analysis showing a dominant component around 130 days. Data of the world dynamic clearly indicates also the crossover to a different phase due to the enforcement of vaccination campaign. In Japan and United Kingdom, we observed the emergence in the infection waves of a long period component (~ 170 days) during vaccination campaign. These results indicate slowing down of the epidemic spreading dynamics due to the vaccination campaign. Finally, we find an intrinsic difference between infection and fatality waves pointing to a non-trivial variation of the lethality due to different gene variants.

Indexed as

COVID-19PandemicsHumansImmunization ProgramsRNA, ViralSARS-CoV-2United StatesVaccinationRNA, Viral

Identifiers

PMID36302922
PMCPMC9612611

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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.