Evidence map›Paper›PMID 36554833›Full record

ArticleInternational journal of environmental research and public health2022

COVID-19: A Comparative Study of Contagions Peaks in Cities from Europe and the Americas.

Karine Bertin, Johanna Garzón, Jaime San Martín, Soledad Torres

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Karine BertinCentro de Investigación y Modelamiento de Fenómenos Aleatorios-Valparaíso, Instituto de Ingeniería Matemática, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2362905, Chile.ORCID 0000-0002-8167-137X
Johanna GarzónDepartamento de Matemáticas, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá 111321, Colombia.ORCID 0000-0003-0808-1872
Jaime San MartínCentro de Modelamiento Matemático, Departamento de Ingeniería Matemática, Unité Mixte Internationale, Centre National de la Recherche Scientifique, Universidad de Chile, Santiago 8370456, Chile.ORCID 0000-0002-9273-5260
Soledad TorresCentro de Investigación y Modelamiento de Fenómenos Aleatorios-Valparaíso, Instituto de Ingeniería Matemática, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso 2362905, Chile.
University of Valparaíso · CLUniversidad Nacional de Colombia · COUniversity of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a group of viruses that provoke illnesses ranging from the common cold to more serious illnesses such as pneumonia. COVID-19 started in China and spread rapidly from a single city to an entire country in just 30 days and to the rest of the world in no more than 3 months. Several studies have tried to model the behavior of COVID-19 in diverse regions, based on differential equations of the SIR and stochastic SIR type, and their extensions. In this article, a statistical analysis of daily confirmed COVID-19 cases reported in eleven different cities in Europe and America is conducted. Log-linear models are proposed to model the rise or drop in the number of positive cases reported daily. A classification analysis of the estimated slopes is performed, allowing a comparison of the eleven cities at different epidemic peaks. By rescaling the curves, similar behaviors among rises and drops in different cities are found, independent of socioeconomic conditions, type of quarantine measures taken, whether more or less restrictive. The log-linear model appears to be suitable for modeling the incidence of COVID-19 both in rises and drops.

Indexed as

COVID-19ChinaCitiesEuropeHumansQuarantineSARS-CoV-2cluster analysisCOVIDregression model

Identifiers

PMID36554833
PMCPMC9779244
OpenAlexW4312195554

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.