Evidence map›Paper›PMID 36471295›Full record

ArticleBMC public health2022

Population-wide measures due to the COVID-19 pandemic and exposome changes in the general population of Cyprus in March-May 2020.

Xanthi D Andrianou, Corina Konstantinou, Marco A Rodríguez-Flores, Fragkiskos Papadopoulos, Konstantinos C Makris

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Modeling with Petri Nets.Advances in experimental medicine and biology · 2026
    Review
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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

5 authors.

Xanthi D AndrianouCyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus.
Corina KonstantinouCyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus.
Marco A Rodríguez-FloresDepartment of Electrical and Computer Engineering, Cyprus University of Technology, Limassol, Cyprus.
Fragkiskos PapadopoulosDepartment of Electrical and Computer Engineering, Cyprus University of Technology, Limassol, Cyprus.
Konstantinos C MakrisCyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus. konstantinos.makris@cut.ac.cy.

Funding

European Commission 810995
6 · The paper itself

Abstract

Non-pharmacological interventions (e.g., stay-at-home orders, school closures, physical distancing) implemented during the COVID-19 pandemic are expected to have modified routines and lifestyles, eventually impacting key exposome parameters, including, among others, physical activity, diet and cleaning habits. The objectives were to describe the exposomic profile of the general Cypriot population and compliance to the population-wide measures implemented during March-May 2020 to lower the risk of SARS-CoV-2 transmission, and to simulate the population-wide measures' effect on social contacts and SARS-CoV-2 spread. A survey was conducted in March-May 2020 capturing different exposome parameters, e.g., individual characteristics, lifestyle/habits, time spent and contacts at home/work/elsewhere. We described the exposome parameters and their correlations. In an exposome-wide association analysis, we used the number of hours spent at home as an indicator of compliance to the measures. We generated synthetic human proximity networks, before and during the measures using the dynamic-[Formula: see text]

Indexed as

COVID-19ExposomeCyprusHumansMiddle AgedPandemicsSARS-CoV-2ExposomeExposuresMeasuresModelingPandemic

Identifiers

PMID36471295
PMCPMC9724426

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.