Evidence map›Paper›PMID 37515269›Full record

Observational studyViruses2023

SARS-CoV-2 Infection in Cities from the Southern Region of Bahia State, Brazil: Analysis of Variables Associated in Both Individual and Community Level.

Murillo Ferreira da Silva, Uener Ribeiro Dos Santos, Fabrício Barbosa Ferreira, George Rego Albuquerque, Ana Paula Melo Mariano, Hllytchaikra Ferraz Fehlberg, Íris Terezinha Santos de Santana, Pérola Rodrigues Dos Santos, Luciano Cardoso Santos, Laine Lopes Silva de Jesus and 11 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Observational
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

21 authors at 1 institution in 1 country.

Murillo Ferreira da SilvaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Uener Ribeiro Dos SantosLaboratório de Imunobiologia, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.ORCID 0000-0003-1193-5453
Fabrício Barbosa FerreiraLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.ORCID 0000-0003-1642-8207
George Rego AlbuquerqueLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.ORCID 0000-0002-0556-8856
Ana Paula Melo MarianoLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Hllytchaikra Ferraz FehlbergLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Íris Terezinha Santos de SantanaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Pérola Rodrigues Dos SantosLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Luciano Cardoso SantosLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.ORCID 0000-0001-7679-1353
Laine Lopes Silva de JesusLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Karoline Almeida PitonLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Beatriz Santos CostaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Beatriz Sena Moreira GomesLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Vinicius Moreira PortoLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Emanuelly da Silva OliveiraLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Cibele Luz OliveiraLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Renato FontanaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Bianca Mendes MacielLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.ORCID 0000-0001-6455-8108
Mylene de Melo SilvaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Lauro Juliano MarinLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.
Sandra Rocha GadelhaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil.ORCID 0000-0002-3079-488X
Universidade Estadual de Santa Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), challenged public health systems worldwide. Individuals in low-income countries/regions are still at individual and community risk concerning inequality, sanitation, and economic conditions. Besides, during the pandemic, the transmission in municipalities and communities in the countryside and less developed regions kept viral spread and required structured and strengthened clinical and laboratory surveillance. Here, we present an observational, analytic, cross-sectional study conducted using secondary data from the Laboratório de Farmacogenômica e Epidemiologia Molecular (LAFEM)-Universidade Estadual de Santa Cruz (UESC), to evaluate individual and community factors associated to SARS-CoV-2 infection in outpatients from different cities from Southern Region of Bahia State, in Brazil. The data were collected between June 2021 and May 2022. The SARS-CoV-2 positivity by RT-qPCR was correlated with low socio-economic indicators, including the Human development index (

Indexed as

COVID-19BrazilCitiesCross-Sectional StudiesFemaleHumansPandemicsSARS-CoV-2community riskCOVID-19epidemiologyrisk factorSARS-CoV-2socio-economic status

Identifiers

PMID37515269
PMCPMC10383252
OpenAlexW4385068539

What Socratic 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 Socratic graph.