Evidence map›Paper›PMID 34175123›Full record

ArticleISA transactions2022

Non-pharmaceutical intervention to reduce COVID-19 impact in Argentina.

Demián García-Violini, Ricardo Sánchez-Peña, Marcela Moscoso-Vásquez, Fabricio Garelli

Abstract read
In one paragraph

Article in ISA transactions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Demián García-VioliniDepartamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Roque Sáenz Peña 352, B1876BXD, Bernal, Buenos Aires, Argentina.
Ricardo Sánchez-PeñaCentro de Sistemas y Control, Instituto Tecnológico de Buenos Aires, Av. Eduardo Madero 399, C1106, CABA, Argentina; CONICET, Argentina. Electronic address: rsanchez@itba.edu.ar.
Marcela Moscoso-VásquezCentro de Sistemas y Control, Instituto Tecnológico de Buenos Aires, Av. Eduardo Madero 399, C1106, CABA, Argentina; CONICET, Argentina.
Fabricio GarelliGroup of Control Applications, LEICI, Universidad Nacional de La Plata, Calle 48 y 116, CC 91 (1900), La Plata, Buenos Aires, Argentina; CONICET, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is focused on the multilevel control of the population confinement in the city of Buenos Aires and its surroundings due to the pandemic generated by the COVID-19 outbreak. The model used here is known as SEIRD and two objectives are sought: a time-varying identification of the infection rate and the inclusion of a controller. A control differential equation has been added to regulate the transitions between confinement and normal life, according to five different levels. The plasma treatment from recovered patients has also been considered in the control algorithm. Using the proposed strategy the ICU occupancy is reduced, and as a consequence, the number of deaths is also decreased.

Indexed as

COVID-19ArgentinaCitiesHumansPandemicsAutomatic controlCOVID-19LockdownLPVModelPandemic

Identifiers

PMID34175123
PMCPMC8214935

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.