The increase of asthma self-medication in Indonesia during COVID-19 Pandemic: An infodemiology study using Google Trends

Background and purpose: The COVID-19 pandemic has significantly interrupted the care of asthma patients. In order to determine whether online search data and the number of COVID-19 cases were related, many Google Trends-based investigations were carried out throughout the pandemic. This study investigates whether asthma patients use the internet for self-management and treatment advice. Methods: A netnographic approach with data sources from Google Trends was used in our research. The data were taken from www.https://trends.google.co.id and were collected within two timeframes: (1) the beginning of COVID-19 (March 2, 2018-March 1, 2020) and (2) during the pandemic COVID-19 (March 2, 2020-March 1, 2022). The data is displayed graphically on a scale of 0 to 100, referred to as the Relative Search Volume (RSV). The Spearman correlation test on each keyword and the confirmed cases of COVID-19 in Indonesia were done in SPSS version 25 (IBM Corp., Armonk, NY) to determine if a correlation existed. Results: This study found an increased search volume for asthma therapy. According to the correlation test results, the keywords "inhaler" and "nebulizer" significantly correlated with the number of confirmed COVID-19 cases. However, no link between asthma symptoms and the number of COVID-19 was found. Conclusion:Indonesians sought more information on asthma self-medication during the rise of COVID-19, however not directly associated with the prevalence of the disease. Google Trends can become a potential source to explore people behaviour in relation to certain health information, however it cannot be used as the sole data collection tool for health research, especially in Indonesia.

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Publication Details

Journal
Public Health and Preventive Medicine Archive
Published
2024-12-31
DOI
https://doi.org/10.53638/phpma.2024.v12.i2.p03
Primary Topic
COVID-19 Prevention and Impact
Type
article
Field-Weighted Citation Impact
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article

The increase of asthma self-medication in Indonesia during COVID-19 Pandemic: An infodemiology study using Google Trends

Ghina Shabrina Awanis, Heri Setiawan, Atika Rahmah, Nadira Rachmianti Hartanto
Public Health and Preventive Medicine Archive
COVID-19 Prevention and Impact
article

The increase of asthma self-medication in Indonesia during COVID-19 Pandemic: An infodemiology study using Google Trends

Ghina Shabrina Awanis, Heri Setiawan, Atika Rahmah, Nadira Rachmianti Hartanto
article en

Abstract

Background and purpose: The COVID-19 pandemic has significantly interrupted the care of asthma patients. In order to determine whether online search data and the number of COVID-19 cases were related, many Google Trends-based investigations were carried out throughout the pandemic. This study investigates whether asthma patients use the internet for self-management and treatment advice. Methods: A netnographic approach with data sources from Google Trends was used in our research. The data were taken from www.https://trends.google.co.id and were collected within two timeframes: (1) the beginning of COVID-19 (March 2, 2018-March 1, 2020) and (2) during the pandemic COVID-19 (March 2, 2020-March 1, 2022). The data is displayed graphically on a scale of 0 to 100, referred to as the Relative Search Volume (RSV). The Spearman correlation test on each keyword and the confirmed cases of COVID-19 in Indonesia were done in SPSS version 25 (IBM Corp., Armonk, NY) to determine if a correlation existed. Results: This study found an increased search volume for asthma therapy. According to the correlation test results, the keywords "inhaler" and "nebulizer" significantly correlated with the number of confirmed COVID-19 cases. However, no link between asthma symptoms and the number of COVID-19 was found. Conclusion:Indonesians sought more information on asthma self-medication during the rise of COVID-19, however not directly associated with the prevalence of the disease. Google Trends can become a potential source to explore people behaviour in relation to certain health information, however it cannot be used as the sole data collection tool for health research, especially in Indonesia.

Public Health and Preventive Medicine ArchiveVol. 12(2)
Sebelas Maret University (ID)
Openalex Percentile: Top 51%
COVID-19 Prevention and Impact
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