Evidence map›Paper›PMID 37632891›Full record

ArticleJMIR dermatology2022

Worldwide Evolution of Vaccinable and Nonvaccinable Viral Skin Infections: Google Trends Analysis.

Thierry Simonart, Xuân-Lan Lam Hoai, Viviane de Maertelaer

Abstract read
In one paragraph

Article in JMIR dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Thierry SimonartDepartment of Dermatology, Delta Hospital, Centre Hospitalier Interrégional Edith Cavell, Université Libre de Bruxelles, Brussels, Belgium.ORCID https://orcid.org/0000-0001-6658-7965
Xuân-Lan Lam HoaiDepartment of Dermatology, St Pierre - Brugmann - Hôpital Universitaire des Enfants Reine Fabiola University Hospitals, Université Libre de Bruxelles, Brussels, Belgium.ORCID https://orcid.org/0000-0001-6007-0666
Viviane de MaertelaerDepartment of Biostatistics, Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Brussels, Belgium.ORCID https://orcid.org/0000-0001-6722-7267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost common viral skin infections are not reportable conditions. Studying the population dynamics of these viral epidemics using traditional field methods is costly and time-consuming, especially over wide geographical areas.

objectiveThis study aimed to explore the evolution, seasonality, and distribution of vaccinable and nonvaccinable viral skin infections through an analysis of Google Trends.

methodsWorldwide search trends from January 2004 through May 2021 for viral skin infections were extracted from Google Trends, quantified, and analyzed.

resultsTime series decomposition showed that the total search term volume for warts; zoster; roseola; measles; hand, foot, and mouth disease (HFMD); varicella; and rubella increased worldwide over the study period, whereas the interest for Pityriasis rosea and herpes simplex decreased. Internet searches for HFMD, varicella, and measles exhibited the highest seasonal patterns. The interest for measles and rubella was more pronounced in African countries, whereas the interest for HFMD and roseola was more pronounced in East Asia.

conclusionsHarnessing data generated by web searches may increase the efficacy of traditional surveillance systems and strengthens the suspicion that the incidence of some vaccinable viral skin infections such as varicella, measles, and rubella may be globally increasing, whereas the incidence of common nonvaccinable skin infections remains stable.

Indexed as

big datadermatologydistributionepidemicfootGoogle searchhandincidenceinfodemiologymeaslesmouth diseaserubellaskinskin infectionsurveillancetrendvaccinablevaricellaviral epidemicswartweb search

Identifiers

PMID37632891
PMCPMC10334945

What OpenQuestion holds

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LicenceCC BY
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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.