Evidence map›Paper›PMID 35875320›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2022

[COVID-19 in Brazil: trends, challenges, and perspectives after 18 months of the pandemicCOVID-19 en Brasil: tendencias, desafíos y perspectivas después de 18 meses de pandemia].

Camila Alves Dos Santos Siqueira, Yan Nogueira Leite de Freitas, Marianna de Camargo Cancela, Monica Carvalho, Leorik Pereira da Silva, Nielsen Castelo Damasceno Dantas, Dyego Leandro Bezerra de Souza

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Camila Alves Dos Santos SiqueiraUniversidade Federal do Rio Grande do Norte (UFRN) Programa de Pós-Graduação em Saúde Coletiva Natal (RN) Brasil Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-Graduação em Saúde Coletiva, Natal (RN), Brasil.
Yan Nogueira Leite de FreitasUniversidade Federal do Rio Grande do Norte (UFRN) Programa de Pós-Graduação em Saúde Coletiva Natal (RN) Brasil Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-Graduação em Saúde Coletiva, Natal (RN), Brasil.
Marianna de Camargo CancelaInstituto Nacional de Câncer (INCA) Divisão de Vigilância e Análise de Situação Rio de Janeiro (RJ) Brasil Instituto Nacional de Câncer (INCA), Divisão de Vigilância e Análise de Situação, Rio de Janeiro (RJ), Brasil.
Monica CarvalhoUniversidade Federal da Paraíba (UFPB) Departamento de Engenharia de Energias Renováveis João Pessoa (PB) Brasil Universidade Federal da Paraíba (UFPB), Departamento de Engenharia de Energias Renováveis, João Pessoa (PB), Brasil.
Leorik Pereira da SilvaUniversidade Federal do Amazonas Instituto de Saúde e Biotecnologia Coari (AM) Brasil Universidade Federal do Amazonas, Instituto de Saúde e Biotecnologia, Coari (AM), Brasil.
Nielsen Castelo Damasceno DantasUniversidade Federal do Rio Grande do Norte (UFRN) Programa de Pós-Graduação em Saúde Coletiva Natal (RN) Brasil Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-Graduação em Saúde Coletiva, Natal (RN), Brasil.
Dyego Leandro Bezerra de SouzaUniversidade Federal do Rio Grande do Norte (UFRN) Programa de Pós-Graduação em Saúde Coletiva Natal (RN) Brasil Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-Graduação em Saúde Coletiva, Natal (RN), Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the incidence and mortality trends from COVID-19 in Brazil as well as in federation units and their capitals. Method: An ecological study was performed using COVID-19 incidence and mortality data covering the period from 25 February 2020 (first case recorded in Brazil) to 31 July 2021. Data were grouped by month for calculation of crude rates (by 100 000 population) and assessment of time trends in federation units and capitals. Significant changes in time trends were analyzed by joinpoint regression. Results: Two waves of new cases and deaths were identified. The highest incidence rates were recorded in the states of Amapá, Rio Grande do Norte, Rondônia, and Roraima. The states of Amazonas and Rondônia had the highest mortality rates. In general, incidence and mortality rates were worse in the second wave. In the first wave, the mean number of months until the onset of reduction in new cases was higher in capitals, whereas in the second wave the onset of reduction in new cases took longer in the federation units. The decline in mortality began earlier in capital cities in both waves. Conclusion: The regional differences detected underscore the notion that COVID-19 incidence and mortality are associated with political, geographic, cultural, social, and economic factors.

Indexed as

BrazilCOVID-19incidencemortalitypandemics

Identifiers

PMID35875320
PMCPMC9299398

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.