Evidence map›Paper›PMID 36417188›Full record

ArticleEpidemiologia (Basel, Switzerland)2021

Trends of Online Search of COVID-19 Related Terms in Cyprus.

Marios Anastasiou, Katerina Pantavou, Anneza Yiallourou, Stefanos Bonovas, Georgios K Nikolopoulos

Abstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Marios AnastasiouIndependent Scholar, Nicosia 2740, Cyprus.ORCID 0000-0003-1297-2133
Katerina PantavouMedical School, University of Cyprus, Nicosia 2029, Cyprus.
Anneza YiallourouMedical School, University of Cyprus, Nicosia 2029, Cyprus.ORCID 0000-0003-1237-1661
Stefanos BonovasDepartment of Biomedical Sciences, Humanitas University, 20090 Milan, Italy.ORCID 0000-0001-6102-6579
Georgios K NikolopoulosMedical School, University of Cyprus, Nicosia 2029, Cyprus.ORCID 0000-0002-3307-0246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of trends in web searches provides useful information for various purposes, including responses to public health emergencies. This work aims to analyze the popularity of internet search queries for Coronavirus Disease 2019 (COVID-19) and COVID-19 symptoms in Cyprus. Query data for the term Coronavirus were retrieved from Google Trends website between 19 January and 30 June 2020. The study focused on Cyprus and the four most populated cities: Nicosia, Limassol, Larnaca, and Paphos. COVID-19 symptoms including fever, cough, sore throat, shortness of breath, and myalgia were considered in the analysis. Daily and weekly search volumes were described, and their correlation with the evolution of the COVID-19 pandemic and important announcements or events were examined. Three periods of interest peaks were identified in Cyprus. The highest interest in COVID-19-related terms was found in the city of Paphos. The most popular symptoms were fever and cough, and the symptom with the highest increase in popularity was myalgia. At the beginning of the pandemic, the search volume of COVID-19 grew substantially when governments, major organizations, and high-profile figures, globally and locally, made important announcements regarding COVID-19. Health authorities in Cyprus and elsewhere could benefit from constantly monitoring the online interest of the population in order to get timely information that could be used in public health planning and response.

Indexed as

COVID-19google trendsinformation seekinginternet behaviorpandemicsearch interest

Identifiers

PMID36417188
PMCPMC9620905

What OpenQuestion holds

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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.