Evidence map›Paper›PMID 34769577›Full record

ArticleInternational journal of environmental research and public health2021

Identification of COVID-19 Waves: Considerations for Research and Policy.

Andrés Ayala, Pablo Villalobos Dintrans, Felipe Elorrieta, Claudio Castillo, Claudio Vargas, Matilde Maddaleno

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  16. Article
  17. A Following Wave Pattern of Suicide-Related Pediatric Emergency Room Admissions during the COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Article
  18. Article
  19. Article
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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

6 authors.

Andrés AyalaDepartamento de Matemática y Ciencia de la Computación, Facultad de Ciencias, Universidad de Santiago, Santiago 9170022, Chile.ORCID 0000-0002-4181-5746
Pablo Villalobos DintransPrograma Centro Salud Pública, Facultad de Ciencias Médicas, Universidad de Santiago, Santiago 9170022, Chile.ORCID 0000-0002-2236-6447
Felipe ElorrietaDepartamento de Matemática y Ciencia de la Computación, Facultad de Ciencias, Universidad de Santiago, Santiago 9170022, Chile.ORCID 0000-0002-1835-7433
Claudio CastilloPrograma Centro Salud Pública, Facultad de Ciencias Médicas, Universidad de Santiago, Santiago 9170022, Chile.ORCID 0000-0001-8925-2236
Claudio VargasDepartamento de Matemática y Ciencia de la Computación, Facultad de Ciencias, Universidad de Santiago, Santiago 9170022, Chile.ORCID 0000-0002-8705-0873
Matilde MaddalenoPrograma Centro Salud Pública, Facultad de Ciencias Médicas, Universidad de Santiago, Santiago 9170022, Chile.ORCID 0000-0001-8725-4086

Funding

University of Santiago Chile DICYT Asociativo Grant 022191MH DAS
6 · The paper itself

Abstract

The identification of COVID-19 waves is a matter of the utmost importance, both for research and decision making. This study uses COVID-19 information from the 52 municipalities of the Metropolitan Region, Chile, and presents a quantitative method-based on weekly accumulated incidence rates-to define COVID-19 waves. We explore three different criteria to define the duration of a wave, and performed a sensitivity analysis using multivariate linear models to show their commonalities and differences. The results show that, compared to a benchmark definition (a 100-day wave), the estimations using longer periods of study are worse in terms of the model's overall fit (adjusted R

Indexed as

COVID-19CitiesHumansPolicyPolicy MakingSARS-CoV-2COVID-19public healthpublic policywaves

Identifiers

PMID34769577
PMCPMC8583384

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.