FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3186018059> ?p ?o ?g. }

• W3186018059 endingPage "118" @default.
• W3186018059 startingPage "94" @default.
• W3186018059 abstract "Although the spread of coronavirus disease 2019 (COVID-19) seems to be slowing down in many countries as consequence of widespread vaccination, the gradual accumulation of non-synonymous mutations within the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has lead to appearance of variants of concern (VOCs), characterized by greater infectivity and/or potential of immune evasion especially from anti-SARS-CoV-2 neutralizing antibodies elicited after COVID-19 vaccination.1Abdool Karim S.S. de Oliveira T. New SARS-CoV-2 variants - clinical, public health, and vaccine implications.N Engl J Med. 2021; 384: 1866-1868Crossref PubMed Scopus (445) Google Scholar In a recent report, Fantini et al. have proposed an interesting health approach for anticipating COVID-19 outbreaks, based on an index of transmissibility (T-index), calculated from parameters of coronavirus binding to host cells.2Fantini J. Yahi N. Azzaz F. Chahinian H. Structural dynamics of SARS-CoV-2 variants: a health monitoring strategy for anticipating COVID-19 outbreaks.J Infect. 2021 Jun 3; (S0163-4453(21)00281-4Epub ahead of print)https://doi.org/10.1016/j.jinf.2021.06.001Abstract Full Text Full Text PDF PubMed Scopus (48) Google Scholar Although this strategy seems indeed promising, previous evidence has been garnered that easier and more accessible tools such infodemiology, which relies on investigating the volume of Web searches for specific COVID-19 symptoms, may be effective in anticipating local COVID-19 epidemiological trends,3Lippi G. Mattiuzzi C. Cervellin G. Google search volume predicts the emergence of COVID-19 outbreaks.Acta Biomed. 2020; 91e2020006PubMed Google Scholar,4Henry B.M. Szergyuk I. Santos de Oliveira M.H. Lippi G. Juszczyk G. Mikos M. Utility of google trends in anticipating COVID-19 outbreaks in Poland.Pol Arch Intern Med. 2021; 131: 389-392PubMed Google Scholar provided that symptoms caused by the emerging VOCs remain constant over time. With the aim of establishing whether COVID-19 symptoms may have changed over time after introduction of new SARS-CoV-2 VOCs, we conducted an electronic search in Google Trends (Google Inc. Mountain View, CA, US) for the most common self-reported symptoms in patients with SARS-CoV-2 infection, using the Italian search terms “tosse” (cough), “raffreddore” (cold), “mal di testa” (headache) and “febbre” (fever).5Adorni F. Prinelli F. Bianchi F. Giacomelli A. Pagani G. Bernacchia D. et al.Self-reported symptoms of SARS-CoV-2 infection in a nonhospitalized population in Italy: cross-sectional study of the EPICOVID19 web-based survey.JMIR Public Health Surveill. 2020; 6: e21866Crossref PubMed Scopus (51) Google Scholar The country option was set to “Italy”, and the search period ranged between March 1, 2020 to present time (July 7, 2021). The data were downloaded as weekly Google Trends Score (GTS) for all these keywords, thus mirroring the cumulative volume of Google searches recorded for each specific term during the previous week. The GTS was then normalized (i.e., expressed as “ratio”) for the number of COVID-19 diagnoses recorded in Italy during the same week, as officially reported by the Italian National Institute of Health (Istituto Superiore di Sanità; ISS). The correlation between the GTS of the four symptoms was carried out with Spearman's test. The statistical analysis was performed with analyze-it (analyze-it Software Ltd, Leeds, UK). The study was conducted in accordance with the Declaration of Helsinki, under the terms of relevant local legislation. This analysis was based on electronic searches in the unrestricted, publicly available national repositories, and thereby no informed consent or Ethical Committee approvals were required. The results of this analysis are shown in Fig. 1. As concerns the local diffusion of VOCs in Italy according to ISS data, variants bearing the D614G mutation have replaced the prototype Wuhan strain between April and May 2020, the alpha (B1.1.7) variant has become largely prevalent (over 80% of COVID-19 cases) between February and March 2021, whilst the prevalence of the delta variant (B.1.617.2) has displayed a dramatic increase in May/June 2021. Irrespective of this evolving epidemiological trend, the normalized GTS of the four symptoms has followed a virtually overlapping trend over time, without exhibiting substantial differences (Fig. 1). The absence of a time-dependent variation in the prevalence of COVID-19 symptoms is reflected by highly significant Spearman's correlations among all normalized GTS for all symptoms (all r ≥ 0.94 and p < 0.001), as reported in Table 1.Table 1Spearman's correlation between volume of Google searches for the most common symptoms of coronavirus disease 2019 (COVID-19) between March 1, 2020 and July 7, 2021. Results are expressed as weekly Google trends score (GTS) normalized for the number of new COVID-19 cases recorded during the same week.SymptomsColdHeadacheFeverCough0.96 (95% CI, 0.94–0.98; p < 0.001)0.97 (0.95–0.98; p < 0.001)0.99 (0.99–0.99; p < 0.001)Cold–0.94 (0.90–0.98; p < 0.001)0.96 (0.93–0.97; p < 0.001)Headache––0.98 (0.97–0.99; p < 0.001) Open table in a new tab The results of our analysis of normalized GTS for the most common searched COVID-19 symptoms recorded over time in Italy reveals that the progressive introduction of new strains and VOCs in the country was not seemingly associated with significant changes in the primary clinical picture, at least as reflected by the volume of Web searches and Internet interrogations for the most common self-reported COVID-19 symptoms. Therefore, the use of an infodemiology-based approach remains seemingly valuable for monitoring viral epidemiology and anticipating possible outbreaks. None declared." @default.
• W3186018059 created "2021-08-02" @default.
• W3186018059 creator A5018253709 @default.
• W3186018059 creator A5068599898 @default.
• W3186018059 creator A5073522064 @default.
• W3186018059 date "2022-01-01" @default.
• W3186018059 modified "2023-10-11" @default.
• W3186018059 title "Is diffusion of SARS-CoV-2 variants of concern associated with different symptoms?" @default.
• W3186018059 cites W3040997762 @default.
• W3186018059 cites W3138447431 @default.
• W3186018059 cites W3168762998 @default.
• W3186018059 doi "https://doi.org/10.1016/j.jinf.2021.07.008" @default.
• W3186018059 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8280603" @default.
• W3186018059 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34274361" @default.
• W3186018059 hasPublicationYear "2022" @default.
• W3186018059 type Work @default.
• W3186018059 sameAs 3186018059 @default.
• W3186018059 citedByCount "5" @default.
• W3186018059 countsByYear W31860180592022 @default.
• W3186018059 countsByYear W31860180592023 @default.
• W3186018059 crossrefType "journal-article" @default.
• W3186018059 hasAuthorship W3186018059A5018253709 @default.
• W3186018059 hasAuthorship W3186018059A5068599898 @default.
• W3186018059 hasAuthorship W3186018059A5073522064 @default.
• W3186018059 hasBestOaLocation W31860180591 @default.
• W3186018059 hasConcept C116675565 @default.
• W3186018059 hasConcept C126322002 @default.
• W3186018059 hasConcept C138816342 @default.
• W3186018059 hasConcept C142724271 @default.
• W3186018059 hasConcept C159047783 @default.
• W3186018059 hasConcept C22070199 @default.
• W3186018059 hasConcept C2777648638 @default.
• W3186018059 hasConcept C2778859668 @default.
• W3186018059 hasConcept C2779134260 @default.
• W3186018059 hasConcept C2779473830 @default.
• W3186018059 hasConcept C3007834351 @default.
• W3186018059 hasConcept C3008058167 @default.
• W3186018059 hasConcept C524204448 @default.
• W3186018059 hasConcept C55493867 @default.
• W3186018059 hasConcept C71924100 @default.
• W3186018059 hasConcept C83867959 @default.
• W3186018059 hasConcept C86803240 @default.
• W3186018059 hasConceptScore W3186018059C116675565 @default.
• W3186018059 hasConceptScore W3186018059C126322002 @default.
• W3186018059 hasConceptScore W3186018059C138816342 @default.
• W3186018059 hasConceptScore W3186018059C142724271 @default.
• W3186018059 hasConceptScore W3186018059C159047783 @default.
• W3186018059 hasConceptScore W3186018059C22070199 @default.
• W3186018059 hasConceptScore W3186018059C2777648638 @default.
• W3186018059 hasConceptScore W3186018059C2778859668 @default.
• W3186018059 hasConceptScore W3186018059C2779134260 @default.
• W3186018059 hasConceptScore W3186018059C2779473830 @default.
• W3186018059 hasConceptScore W3186018059C3007834351 @default.
• W3186018059 hasConceptScore W3186018059C3008058167 @default.
• W3186018059 hasConceptScore W3186018059C524204448 @default.
• W3186018059 hasConceptScore W3186018059C55493867 @default.
• W3186018059 hasConceptScore W3186018059C71924100 @default.
• W3186018059 hasConceptScore W3186018059C83867959 @default.
• W3186018059 hasConceptScore W3186018059C86803240 @default.
• W3186018059 hasIssue "1" @default.
• W3186018059 hasLocation W31860180591 @default.
• W3186018059 hasLocation W31860180592 @default.
• W3186018059 hasLocation W31860180593 @default.
• W3186018059 hasOpenAccess W3186018059 @default.
• W3186018059 hasPrimaryLocation W31860180591 @default.
• W3186018059 hasRelatedWork W2027484375 @default.
• W3186018059 hasRelatedWork W2151056719 @default.
• W3186018059 hasRelatedWork W2357951426 @default.
• W3186018059 hasRelatedWork W3013569511 @default.
• W3186018059 hasRelatedWork W3045914288 @default.
• W3186018059 hasRelatedWork W3080853139 @default.
• W3186018059 hasRelatedWork W3083012963 @default.
• W3186018059 hasRelatedWork W3099678180 @default.
• W3186018059 hasRelatedWork W4244539174 @default.
• W3186018059 hasRelatedWork W4377037192 @default.
• W3186018059 hasVolume "84" @default.
• W3186018059 isParatext "false" @default.
• W3186018059 isRetracted "false" @default.
• W3186018059 magId "3186018059" @default.
• W3186018059 workType "article" @default.