Evidence map›Paper›PMID 33562465›Full record

ArticleBiology2021

A Modelization of the Propagation of COVID-19 in Regions of Spain and Italy with Evaluation of the Transmission Rates Related to the Intervention Measures.

Raul Nistal, Manuel de la Sen, Jon Gabirondo, Santiago Alonso-Quesada, Aitor J Garrido, Izaskun Garrido

Abstract read
In one paragraph

Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Raul NistalDepartment of Electricity and Electronics, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0003-2196-1989
Manuel de la SenDepartment of Electricity and Electronics, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0001-9320-9433
Jon GabirondoDepartment of Electricity and Electronics, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0003-1361-5963
Santiago Alonso-QuesadaDepartment of Electricity and Electronics, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0002-4724-7583
Aitor J GarridoAutomatic Control Group (ACG), Department of Automatic Control and Systems Engineering, Institute of Research and Development of Processes (IIDP), University of the Basque Country UPV/EHU, 48013 Bilbao, Spain.
Izaskun GarridoAutomatic Control Group (ACG), Department of Automatic Control and Systems Engineering, Institute of Research and Development of Processes (IIDP), University of the Basque Country UPV/EHU, 48013 Bilbao, Spain.

Funding

Basque Goverment IT1207-19Carlos III Institute COV20/01213Spanish Goverment RTI2018-094336-B-I00Spanish Goverment RTI2018-094902-BC22
6 · The paper itself

Abstract

Two discrete mathematical SIR models (Susceptible-Infectious-Recovered) are proposed for modelling the propagation of the SARS-CoV-2 (COVID-19) through Spain and Italy. One of the proposed models is delay-free while the other one considers a delay in the propagation of the infection. The objective is to estimate the transmission, also known as infectivity rate, through time taking into account the infection evolution data supplied by the official health care systems in both countries. Such a parameter is estimated through time at different regional levels and it is seen to be strongly dependent on the intervention measures such as the total (except essential activities) or partial levels of lockdown. Typically, the infectivity rate evolves towards a minimum value under total lockdown and it increases again when the confinement measures are partially or totally removed.

Indexed as

COVID-19digital healthepidemiologyglobal healthinfectious diseasemodelization

Identifiers

PMID33562465
PMCPMC7915204

What OpenQuestion holds

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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.