Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression

Digital interest in health behaviors varied during and after COVID-19, with only mental health and sleep showing sustained concern. However, spikes in awareness often reflected personally relevant issues, highlighting Google Trends' potential as an early signal for health promotion efforts.

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Publication Details

Journal
Frontiers in Big Data
Published
2026-01-13
DOI
https://doi.org/10.3389/fdata.2025.1717592
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression

Dewie Sulistyorini, Roshan Kumar, Sri Wahyu Handayani, Dzul Fahmi Afriyanto et al.
Frontiers in Big Data
Data-Driven Disease Surveillance
article

Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression

Dewie Sulistyorini, Roshan Kumar, Sri Wahyu Handayani, Dzul Fahmi Afriyanto, Farid Agushybana, Usha Rani, Zahroh Shaluhiyah, Shabrina Arifia Qatrannada
article en

Abstract

Digital interest in health behaviors varied during and after COVID-19, with only mental health and sleep showing sustained concern. However, spikes in awareness often reflected personally relevant issues, highlighting Google Trends' potential as an early signal for health promotion efforts.

Frontiers in Big DataVol. 8
Hiroshima University (JP), Diponegoro University (ID), Khon Kaen University (TH), Universitas Dian Nuswantoro (ID), Manipal Hospital (IN)
Universitas Diponegoro
Good health and well-being
Openalex Percentile: Top 89%
Data-Driven Disease Surveillance
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Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression — Dewie Sulistyorini, Roshan Kumar, et al. · Frontiers in Big Data (2026) | TGRS Research Map | TGRS