Your browser doesn't support javascript.
The Global Interest in Vaccines and Its Prediction and Perspectives in the Era of COVID-19. Real-Time Surveillance Using Google Trends.
Sycinska-Dziarnowska, Magdalena; Paradowska-Stankiewicz, Iwona; Wozniak, Krzysztof.
  • Sycinska-Dziarnowska M; Department of Orthodontics, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich Street 72, 70111 Szczecin, Poland.
  • Paradowska-Stankiewicz I; Department of Epidemiology of Infectious Diseases and Surveillance, National Institute of Public Health-National Institute of Hygiene, 00791 Warsaw, Poland.
  • Wozniak K; Department of Orthodontics, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich Street 72, 70111 Szczecin, Poland.
Int J Environ Res Public Health ; 18(15)2021 07 24.
Article in English | MEDLINE | ID: covidwho-1325663
ABSTRACT

BACKGROUND:

The 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.

METHODS:

Global 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.

RESULTS:

Correlation 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.

CONCLUSIONS:

Despite the huge interest in the COVID-19 vaccine, there has not been a detectable decline in the overall interest in the five analyzed vaccines.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph18157841

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph18157841