Evidence map›Paper›PMID 34360134›Full record

ArticleInternational journal of environmental research and public health2021

The Global Interest in Vaccines and Its Prediction and Perspectives in the Era of COVID-19. Real-Time Surveillance Using Google Trends.

Magdalena Sycinska-Dziarnowska, Iwona Paradowska-Stankiewicz, Krzysztof Woźniak

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  13. Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends.International journal of environmental research and public health · 2021
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  14. 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 at 2 institutions in 1 country.

Magdalena Sycinska-DziarnowskaDepartment of Orthodontics, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich Street 72, 70111 Szczecin, Poland.
Iwona Paradowska-StankiewiczDepartment of Epidemiology of Infectious Diseases and Surveillance, National Institute of Public Health-National Institute of Hygiene, 00791 Warsaw, Poland.ORCID 0000-0001-7222-1337
Krzysztof WoźniakDepartment of Orthodontics, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich Street 72, 70111 Szczecin, Poland.
Pomeranian Medical University · PLNarodowy Instytut Zdrowia Publicznego PZH – Państwowy Instytut Badawczy · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has globally overwhelmed all sectors of life. The fast development of vaccines against COVID-19 has had a significant impact on the course of the pandemic.

methodsGlobal data from Google Trends was analyzed for vaccines against flu, BCG, HPV, pneumococcal disease, polio, and COVID-19. The time frame includes the last five-year period starting from 17 April 2016. Multiple training of time series models with back testing, including Holt-Winters forecasting, Exponential Smoothing State Space, Linear model with trend and seasonal components (tlsm), and ARIMA was conducted. Forecasting according to the best fitting model was performed.

resultsCorrelation analysis did not reveal a decrease in interest in vaccines during the analyzed period. The prediction models provided a short-term forecast of the dynamics of interest for flu, HPV, pneumococcal and polio vaccines with 5-10% growth in interest for the first quarter of 2022 when compared to the same quarter of 2021.

conclusionsDespite the huge interest in the COVID-19 vaccine, there has not been a detectable decline in the overall interest in the five analyzed vaccines.

Indexed as

COVID-19PandemicsCOVID-19 VaccinesHumansPneumococcal VaccinesSARS-CoV-2Search EngineCOVID-19 VaccinesPneumococcal VaccinesBCG vaccineCOVID-19 vaccineflu vaccineGoogle TrendsHPV vaccinepneumococcal vaccinePolio vaccinevaccination programs

Identifiers

PMID34360134
PMCPMC8345601
OpenAlexW3186327110

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.