Evidence map›Paper›PMID 37952930›Full record

ArticleJornal de pediatria

Morbidity trend and space-time clusters of COVID-19 occurrence in children and adolescents.

Camila Beatriz Alves da Rocha, Lúbia Maieles Gomes Machado, Pãmela Rodrigues de Souza Silva, Bruna Hinnah Borges Martins de Freitas, Iara Denise Endruweit Battisti, Emerson Soares Dos Santos, Silvana Margarida Benevides Ferreira

Open access · goldAbstract read
In one paragraph

Article in Jornal de pediatria. 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, top 79% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Camila Beatriz Alves da RochaUniversidade Federal de Mato Grosso (UFMT), Programa de Pós-Graduação em Enfermagem, Cuiabá, MT, Brazil. Electronic address: camila.rocha@sou.ufmt.br.
Lúbia Maieles Gomes MachadoUniversidade Federal de Mato Grosso (UFMT), Programa de Pós-Graduação em Saúde Coletiva, Cuiabá, MT, Brazil.
Pãmela Rodrigues de Souza SilvaUniversidade Federal de Mato Grosso (UFMT), Programa de Pós-Graduação em Enfermagem, Cuiabá, MT, Brazil.
Bruna Hinnah Borges Martins de FreitasUniversidade Federal de Mato Grosso (UFMT), Faculdade de Enfermagem, Cuiabá, MT, Brazil.
Iara Denise Endruweit BattistiUniversidade Federal da Fronteira Sul (UFFS), Programa de Pós-Graduação em Desenvolvimento e Políticas Públicas, Cerro Largo, RS, Brazil.
Emerson Soares Dos SantosUniversidade Federal de Mato Grosso (UFMT), Departamento de Geografia, Cuiabá, MT, Brazil.
Silvana Margarida Benevides FerreiraUniversidade Federal de Mato Grosso (UFMT), Programa de Pós-Graduação em Enfermagem, Cuiabá, MT, Brazil.
Universidade Federal de Mato Grosso · BRUniversidade Federal da Fronteira Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the morbidity trend and space-time distribution clusters of confirmed COVID-19 cases in children and adolescents.

methodAn ecological study of COVID-19 cases confirmed in the Information System from 2020 to 2022 in the age group from 0 to 19 years old, residents in Mato Grosso municipalities, Brazilian Midwest region. A trend analysis of the monthly morbidity rate of cases/100,000 inhabitants was used, following Prais-Winsten's regression. A space-time distribution of the Bayesian incidence rate per 100,000 inhabitants was performed, in addition to a space-time scan to identify high-risk clusters.

resultsOf all 79,592 COVID-19 cases studied, 51.6% were in females and 44.21% in people aged 15-19 years old. The mean monthly rate was 265.87 cases per 100,000 inhabitants, with a stationary trend in the period analyzed (Monthly Percentage Variation [MPV]) = 12.15; CI

conclusionThe findings indicated a monthly stationary trend in the study population, an increase in the age group from 10 to 14 years old, and areas at a higher risk for the disease in the North health macro-region of the state.

Indexed as

COVID-19AdolescentAdultBayes TheoremBrazilChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornMorbidityYoung AdultAdolescentChildClustersCOVID-19Space-time

Identifiers

PMID37952930
PMCPMC10943318
OpenAlexW4388584845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.