Evidence map›Paper›PMID 34206965›Full record

ArticleInternational journal of molecular sciences2021

COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics.

João S Rebelo, Célia P F Domingues, Francisco Dionisio, Manuel C Gomes, Ana Botelho, Teresa Nogueira

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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, 8 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

6 authors at 2 institutions in 1 country.

João S RebelocE3c-Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal.ORCID 0000-0002-8662-7378
Célia P F DominguescE3c-Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal.ORCID 0000-0003-2970-010X
Francisco DionisiocE3c-Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal.ORCID 0000-0002-3653-1511
Manuel C GomesFaculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal.
Ana BotelhoBacteriology and Mycology Laboratory, INIAV-National Institute for Agrarian and Veterinary Research, 2780-157 Oeiras, Portugal.ORCID 0000-0002-1843-9455
Teresa NogueiracE3c-Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal.ORCID 0000-0002-0059-5177
University of Lisbon · PTInstituto Nacional de Investigação Agrária e Veterinária · PT

Funding

Fundação para a Ciência e a Tecnologia PTDC/BIA-MIC/28824/2017Fundação para a Ciência e a Tecnologia UIDP/00329/2020
6 · The paper itself

Abstract

Recently, much attention has been paid to the COVID-19 pandemic. Yet bacterial resistance to antibiotics remains a serious and unresolved public health problem that kills hundreds of thousands of people annually, being an insidious and silent pandemic. To contain the spreading of the SARS-CoV-2 virus, populations confined and tightened hygiene measures. We performed this study with computer simulations and by using mobility data of mobile phones from Google in the region of Lisbon, Portugal, comprising 3.7 million people during two different lockdown periods, scenarios of 40 and 60% mobility reduction. In the simulations, we assumed that the network of physical contact between people is that of a small world and computed the antibiotic resistance in human microbiomes after 180 days in the simulation. Our simulations show that reducing human contacts drives a reduction in the diversity of antibiotic resistance genes in human microbiomes. Kruskal-Wallis and Dunn's pairwise tests show very strong evidence (

Indexed as

Genetic VariationAlgorithmsAnti-Bacterial AgentsBacterial InfectionsCOVID-19Databases, FactualDrug Resistance, MicrobialHumansPhysical DistancingQuarantineSARS-CoV-2Anti-Bacterial Agentsantibiotic resistance transmissioncomputer simulationscontact networkhuman microbiomesocial distancingtransmission

Identifiers

PMID34206965
PMCPMC8268123
OpenAlexW3174335471

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.