Evidence map›Paper›PMID 35035622›Full record

ArticleProcedia computer science2022

COVID-19 BR: A web portal for COVID-19 information in Brazil.

Isabelle Carvalho, Filipe Andrade Bernardi, Mariane Barros Neiva, Vinícius Costa Lima, Lariza Laura de Oliveira, Newton Shydeo Brandão Miyoshi, Tiago Lara Michelin Sanches, Francisco Barbosa-Junior, Nathalia Yukie Crepaldi, Diego Bettiol Yamada and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Procedia computer science, 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
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.

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

11 authors.

Isabelle CarvalhoInstitute of Mathematical and Computer Sciences, University of Sao Paulo, Av Trabalhador Sao-Carlense 400, 13566590, Sao Carlos/SP, Brazil.
Filipe Andrade BernardiRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Mariane Barros NeivaInstitute of Mathematical and Computer Sciences, University of Sao Paulo, Av Trabalhador Sao-Carlense 400, 13566590, Sao Carlos/SP, Brazil.
Vinícius Costa LimaRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Lariza Laura de OliveiraRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Newton Shydeo Brandão MiyoshiRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Tiago Lara Michelin SanchesRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Francisco Barbosa-JuniorRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Nathalia Yukie CrepaldiRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Diego Bettiol YamadaRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
Domingos AlvesRibeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil is a large developing country that requires attention to regionalized behaviors regarding the dissemination of COVID-19. To deal with this complexity, the COVID-19 Brazil observatory was developed. The Portal aims to monitor and analyze data from different sources. Therefore, with a detailed audit, we centralized this information on the evolution of the disease, allowing for territorial and temporal monitoring. The daily publication of numbers about COVID-19 allowed anyone to follow the current scenario in several Brazilian cities. With about 1,7 million accesses, the Portal offers clarity and an easy understanding of the pandemic data in the country.

Indexed as

COVID-19Data MiningKnowledge DiscoveryMathematical ModelsPublic Health

Identifiers

PMID35035622
PMCPMC8745935

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.