Evidence map›Paper›PMID 35001969›Full record

ArticleJournal of mathematical analysis and applications2022

A population structure-sensitive mathematical model assessing the effects of vaccination during the third surge of COVID-19 in Italy.

Pablo Jiménez-Rodríguez, Gustavo A Muñoz-Fernández, José C Rodrigo-Chocano, Juan B Seoane-Sepúlveda, Andreas Weber

Open access · greenAbstract read
In one paragraph

Article in Journal of mathematical analysis and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Is This All COVID-19's Fault? A Study on Trainees in One of the Most Affected Italian Cities.International journal of environmental research and public health · 2022
    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 3 institutions in 2 countries.

Pablo Jiménez-RodríguezDepartamento de Matemática Aplicada, Campus Duques de Soria, Universidad de Valladolid, 42004 Soria, Spain.
Gustavo A Muñoz-FernándezInstituto de Matemática Interdisciplinar (IMI), Departamento de Análisis Matemático y Matemática Aplicada, Facultad de Ciencias Matemáticas, Universidad Complutense de Madrid, Plaza de las Ciencias 3, E-28040 Madrid, Spain.
José C Rodrigo-ChocanoEscuela Técnica Superior de Ingenieros Industriales, UCLM, Ciudad Real, Spain.
Juan B Seoane-SepúlvedaInstituto de Matemática Interdisciplinar (IMI), Departamento de Análisis Matemático y Matemática Aplicada, Facultad de Ciencias Matemáticas, Universidad Complutense de Madrid, Plaza de las Ciencias 3, E-28040 Madrid, Spain.
Andreas WeberBaden-Wuerttemberg Cooperative State University Karlsruhe, Germany.
Universidad Complutense de Madrid · ESBaden-Wuerttemberg Cooperative State University · DEUniversidad de Valladolid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We provide a non-autonomous mathematical model to describe some of the most relevant parameters associated to the COVID-19 pandemic, such as daily and cumulative deaths, active cases, and cumulative incidence, among others. We will take into consideration the ways in which people from four different age ranges react to the virus. Using an appropriate transmission function, we estimate the impact of the third surge of COVID-19 in Italy. Also, we assess two different vaccination programmes. In one of them, a single shot is administered to all citizens over 16 years old before second shots are available. In the second model, first and second shots are administered to each citizen within, approximately, 20 days of time-gap.

Indexed as

Compartmental modelsCOVID-19Mathematical biologyMathematical epidemiologyMathematical modeling

Identifiers

PMID35001969
PMCPMC8717707
OpenAlexW4200549126

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.