Evidence map›Paper›PMID 32493390›Full record

ArticleBMC research notes2020

An integrated dataset of malaria notifications in the Legal Amazon.

Lais Baroni, Marcel Pedroso, Christovam Barcellos, Rebecca Salles, Samella Salles, Balthazar Paixão, Alvaro Chrispino, Gustavo Guedes, Eduardo Ogasawara

Open access · goldAbstract readDataset
In one paragraph

Article in BMC research notes, 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
3.5field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Lais BaroniFederal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
Marcel PedrosoOswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
Christovam BarcellosOswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
Rebecca SallesFederal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
Samella SallesFederal Institute of Rio de Janeiro, IFRJ, Rio de Janeiro, Brazil.
Balthazar PaixãoFederal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
Alvaro ChrispinoFederal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
Gustavo GuedesFederal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
Eduardo OgasawaraFederal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil. eogasawara@ieee.org.
Federal Center for Technological Education of Minas Gerais · BRFundação Oswaldo Cruz · BRRio de Janeiro Federal Institute of Education, Science and Technology · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMalaria is an infectious disease that annually presents around 200,000 cases in Brazil. The availability of data on malaria is crucial for enabling and supporting studies that can promote actions to prevent it. Therefore, the goal of this paper is to contribute to such studies by offering an integrated dataset containing data on reported and suspected cases of malaria in the Brazilian Legal Amazon comprising the period from the years 2009 to 2019. DATA DESCRIPTION: This paper presents a dataset with all medical records of patients who were tested for malaria in the Brazilian Legal Amazon from 2009 to 2019. The dataset has 40 attributes and 22,923,977 records of suspected cases of malaria. Around 12% of the data correspond to confirmed cases of malaria. The attributes include data regarding the notifications, examinations, as well as personal patient information, which are organized into health regions.

Indexed as

Datasets as TopicEpidemiological MonitoringMalariaMedical RecordsBrazilHumansHealth regionsLegal AmazonMalaria

Identifiers

PMID32493390
PMCPMC7271548
OpenAlexW3031477125

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.