Evidence map›Paper›PMID 32807244›Full record

ArticleEpidemiology and infection2020

Increasing molecular diagnostic capacity and COVID-19 incidence in Brazil.

Rejane Maria Tommasini Grotto, Rodrigo Santos Lima, Gabriel Berg de Almeida, Claudia Pio Ferreira, Raul Borges Guimarães, Micheli Pronunciate, Edmur Azevedo, Rafael de Castro Catão, Carlos Magno Castelo Branco Fortaleza

Abstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

9 authors.

Rejane Maria Tommasini GrottoSchool of Agriculture, São Paulo State University (Unesp), Botucatu, Brazil.ORCID 0000-0002-4035-9486
Rodrigo Santos LimaBotucatu Medical School, São Paulo State University (Unesp), Botucatu, Brazil.
Gabriel Berg de AlmeidaClinical Hospital of Botucatu Medical School (HCFMB), Botucatu, Brazil.ORCID 0000-0002-1712-0899
Claudia Pio FerreiraInstitute of Biosciences, São Paulo State University (Unesp), Botucatu, Brazil.
Raul Borges GuimarãesSchool of Technology and Sciences, São Paulo State University (Unesp), Presidente Prudente, Brazil.
Micheli PronunciateBotucatu Medical School, São Paulo State University (Unesp), Botucatu, Brazil.
Edmur AzevedoSchool of Technology and Sciences, São Paulo State University (Unesp), Presidente Prudente, Brazil.
Rafael de Castro CatãoFederal University of Espirito Santo (UFES), Vitória, Brazil.
Carlos Magno Castelo Branco FortalezaBotucatu Medical School, São Paulo State University (Unesp), Botucatu, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different countries have adopted strategies for the early detection of SARS-CoV-2 since the declaration of community transmission by the World Health Organization (WHO) and timely diagnosis has been considered one of the major obstacles for surveillance and healthcare. Here, we report the increase of the number of laboratories to COVID-19 diagnosis in Brazil. Our results demonstrate an increase and decentralisation of certified laboratories, which does not match the much higher increase in the number of COVID-19 cases. Also, it becomes clear that laboratories are irregularly distributed over the country, with a concentration in the most developed state, São Paulo.

Indexed as

BetacoronavirusBrazilClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingHumansIncidenceLaboratoriesMolecular Diagnostic TechniquesPandemicsPneumonia, ViralSARS-CoV-2COVID-19diagnosisepidemiologyinfectious diseaselaboratory tests

Identifiers

PMID32807244
PMCPMC7477464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.