Evidence map›Paper›PMID 34388105›Full record

ArticleJMIR public health and surveillance2021

Logistics Workers Are a Key Factor for SARS-CoV-2 Spread in Brazilian Small Towns: Case-Control Study.

Breno Bernardes-Souza, Saulo Ricardo Costa Júnior, Carolina Ali Santos, Raimundo Marques Do Nascimento Neto, Fernando De Carvalho Bottega, Daiana Carolina Godoy, Bruno Lourençoni Freitas, Daniela Leite Garcia Silva, Titus Josef Brinker, Raiza Aranha Nascimento and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. The economic linkages of Covid-19 across sectors and regions in Europe.SERIEs : journal of the Spanish Economic Association · 2025
    Article
  3. Article
  4. Article
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

13 authors at 5 institutions in 2 countries.

Breno Bernardes-SouzaSchool of Medicine, Federal University of Ouro Preto, Ouro Preto, Brazil.ORCID 0000-0003-1806-2501
Saulo Ricardo Costa JúniorSchool of Medicine, Federal University of Lavras, Lavras, Brazil.ORCID 0000-0003-4818-4489
Carolina Ali SantosSchool of Medicine, Federal University of Ouro Preto, Ouro Preto, Brazil.ORCID 0000-0001-7237-5299
Raimundo Marques Do Nascimento NetoSchool of Medicine, Federal University of Ouro Preto, Ouro Preto, Brazil.ORCID 0000-0003-2038-5203
Fernando De Carvalho BottegaFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-5233-7284
Daiana Carolina GodoySchool of Medicine, Federal University of Lavras, Lavras, Brazil.ORCID 0000-0002-8845-2663
Bruno Lourençoni FreitasSchool of Medicine, Federal University of Lavras, Lavras, Brazil.ORCID 0000-0003-0451-6154
Daniela Leite Garcia SilvaFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0003-0719-6547
Titus Josef BrinkerGerman Cancer Research Center, Heidelberg, Germany.ORCID 0000-0002-3620-5919
Raiza Aranha NascimentoSchool of Medicine, Jose do Rosario Vellano University, Belo Horizonte, Brazil.ORCID 0000-0002-2981-1531
Unaí TupinambásFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-6833-3870
Alexandre Barbosa ReisSchool of Pharmacy, Federal University of Ouro Preto, Ouro Preto, Brazil.ORCID 0000-0001-8123-4164
Wendel Coura-VitalSchool of Pharmacy, Federal University of Ouro Preto, Ouro Preto, Brazil.ORCID 0000-0002-1434-7676
Universidade Federal de Ouro Preto · BRUniversidade Federal de Lavras · BRUniversidade Federal de Minas Gerais · BRGerman Cancer Research Center · DEUniversidade José do Rosário Vellano · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on how SARS-CoV-2 enters and spreads in a population are essential for guiding public policies.

objectiveThis study seeks to understand the transmission dynamics of SARS-CoV-2 in small Brazilian towns during the early phase of the epidemic and to identify core groups that can serve as the initial source of infection as well as factors associated with a higher risk of COVID-19.

methodsTwo population-based seroprevalence studies, one household survey, and a case-control study were conducted in two small towns in southeastern Brazil between May and June 2020. In the population-based studies, 400 people were evaluated in each town; there were 40 homes in the household survey, and 95 cases and 393 controls in the case-control study. SARS-CoV-2 serology testing was performed on participants, and a questionnaire was applied. Prevalence, household secondary infection rate, and factors associated with infection were assessed. Odds ratios (ORs) were calculated by logistic regression. Logistics worker was defined as an individual with an occupation focused on the transportation of people or goods and whose job involves traveling outside the town of residence at least once a week.

resultsHigher seroprevalence of SARS-CoV-2 was observed in the town with a greater proportion of logistics workers. The secondary household infection rate was 49.1% (55/112), and it was observed that in most households (28/40, 70%) the index case was a logistics worker. The case-control study revealed that being a logistics worker (OR 18.0, 95% CI 8.4-38.7) or living with one (OR 6.9, 95% CI 3.3-14.5) increases the risk of infection. In addition, having close contact with a confirmed case (OR 13.4, 95% CI 6.6-27.3) and living with more than four people (OR 2.7, 95% CI 1.1-7.1) were also risk factors.

conclusionsOur study shows a strong association between logistics workers and the risk of SARS-CoV-2 infection and highlights the key role of these workers in the viral spread in small towns. These findings indicate the need to focus on this population to determine COVID-19 prevention and control strategies, including vaccination and sentinel genomic surveillance.

Indexed as

AdolescentAdultBrazilCase-Control StudiesChildChild, PreschoolCitiesCommunicable Diseases, ImportedCOVID-19Family CharacteristicsFemaleHumansInfantInfant, NewbornMaleMiddle AgedCOVID-19household infectionlogistics workersrisk factorsSARS-CoV-2

Identifiers

PMID34388105
PMCPMC8412133
OpenAlexW3192378077

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.