The impact of the basic dose of the COVID-19 vaccine and the number of COVID-19 patients on Google searches for vaccines

Abstract

Indonesia has distributed the COVID-19 vaccinations to its people starting from January 2021 based on certain priorities to deal with COVID-19 pandemic. News of deaths after the COVID-19 vaccination has made some people hesitate to get vaccinated. This study aims to depict the pattern and determinant of public interest in COVID-19 vaccine information using Google Trends data. The pattern can be used as a suggestion to the government to conduct a campaign on the COVID-19 vaccine. Several topics related to the COVID-19 vaccine were collected from Google Trends and then clustered by the province using K-Means. By total within sum of square, best number of clusters is two. Then, a logistic regression analysis was done with cluster as response variable to find out what factors made people interested in the COVID-19 vaccine topic. As a result, percentage of people who received the first dose of the COVID-19 vaccine and the rate of COVID-19 patients who were treated had influenced public interest in the COVID-19 vaccine. Hence, the campaign must be transparent so that the public can see both the good and bad effects of vaccination. It will help to reduce the number of people dying after receiving vaccinations.

Analisis Perkembangan Ketahanan Pangan di Indonesia : Pendekatan Menggunakan Big Data dan Data Mining

“…Data Google Trends berupa data runtun waktu yang merepresentasikan perilaku pengguna internet Data ini diperoleh dengan membandingkan jumlah pencarian tertentu dengan total pencarian di wilayah tersebut dalam periode waktu tertentu. Data dari Google Trends biasanya digunakan untuk melakukan prediksi atau menganalisis suatu peristiwa dengan fokus masalah yang lebih spesifik (Sandyawan et al, 2023). Pengelolaan data dari Google Trends akan lebih maksimal jika diolah dengan metode data mining.…”

“…Tanjung et al ( 2021) melakukan analisis forecasting atau prediksi komoditi strategis ketahanan pangan menggunakan metode statistik konvensional yakni regresi linier berganda dengan data runtun waktu. Untuk penelitian yang memanfaatkan Google Trends sebagai sumber data penelitian yakni penelitian oleh Sandyawan et al (2023) yang melakukan penelitian tentang pengelompokkan provinsi dengan metode K-means. Dari beberapa penelitian terkait di atas, belum ditemui adanya penelitian yang memprediksi dan mengklasterkan ketahanan pangan dengan memanfaatkan Google Trends.…”