Evidence map›Paper›PMID 35909895›Full record

ArticleSoftware impacts2022

Americo Cunha, Fernando da Conceição Batista, Paulo Roberto de Lima Gianfelice, Ricardo Sovek Oyarzabal, Jose Mario Vicensi Grzybowski, Elbert E N Macau

Abstract read
In one paragraph

Article in Software impacts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Americo CunhaRio de Janeiro State University, Rio de Janeiro, Brazil.
Fernando da Conceição BatistaPolytechnic Institute of Leiria, Leiria, Portugal.
Paulo Roberto de Lima GianfeliceFederal University of São Paulo, São José dos Campos, Brazil.
Ricardo Sovek OyarzabalFederal University of São Paulo, São José dos Campos, Brazil.
Jose Mario Vicensi GrzybowskiFederal University of Fronteira Sul, Erechim, Brazil.
Elbert E N MacauFederal University of São Paulo, São José dos Campos, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has given rise to a great demand for computational models capable of describing and inferring the evolution of an epidemic outbreak in the short term. In this sense, we introduce

Indexed as

Epidemic modelsMathematical epidemiologyModel calibrationModel fitting

Identifiers

PMID35909895
PMCPMC9316937

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.