The increase of asthma self-medication in Indonesia during COVID-19 Pandemic: An infodemiology study using Google Trends
DOI:
https://doi.org/10.53638/phpma.2024.v12.i2.p03Keywords:
asthma, google trends, COVID-19, Self-medicationAbstract
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.
References
Tubach F, Ravaud P, Baron G, Falissard B, Logeart I, Bellamy N, et al. Evaluation of clinically relevant states in patient reported outcomes in knee and hip osteoarthritis: the patient acceptable symptom state. Annals of the Rheumatic Diseases. 2005; 64(1): 34–37.
Susilo A, Martin Rumende C, Pitoyo CW, Djoko Santoso W, Yulianti M, Sinto R, et al. Coronavirus disease 2019: Tinjauan literatur terkini [Coronavirus disease 2019: Current literature review]. Jurnal Penyakit Dalam Indonesia. 2020; 7(1): 45–67.
Ministry of Health of the Republic of Indonesia. Infeksi emerging [Emerging infectious diseases] [Internet]. 2022. Available from: https://infeksiemerging.kemkes.go.id/
Global Initiative for Asthma. Global strategy for asthma management and prevention [Internet]. 2022. Available from: www.ginasthma.org
Patrucco F, Villa E, Foci V, Benfante A, Bellocchia M, Solidoro P. Severe asthma at COVID-19 time: What is new on biologic therapies. Edizioni Minerva Medica. 2021; 112(1): 114–117.
Choi HG, Wee JH, Kim SY, Kim JH, Il Kim H, Park JY, et al. Association between asthma and clinical mortality/morbidity in COVID-19 patients using clinical epidemiologic data from Korean Disease Control and Prevention. Allergy: European Journal of Allergy and Clinical Immunology. 2021; 76(3): 921–924.
Zhu Z, Hasegawa K, Ma B, Fujiogi M, Camargo CA, Liang L. Association of asthma and its genetic predisposition with the risk of severe COVID-19. Journal of Allergy and Clinical Immunology. 2020; 146(2): 327-329.
Bloom CI, Drake TM, Docherty AB, Lipworth BJ, Johnston SL, Nguyen-Van-Tam JS, et al. Risk of adverse outcomes in patients with underlying respiratory conditions admitted to hospital with COVID-19: a national, multicentre prospective cohort study using the ISARIC WHO Clinical Characterisation Protocol UK. The Lancet Respiratory Medicine. 2021; 9(7): 699–711.
Hartmann-Boyce J, Gunnell J, Drake J, Otunla A, Suklan J, Schofield E, et al. Asthma and COVID-19: Review of evidence on risks and management considerations. BMJ Evidence-Based Medicine. 2021; 26(4): 195.
Google. FAQ about Google trends data [Internet]. 2022. Available from: https://support.google.com/trends/answer/4365533?hl=en&ref_topic=6248052
Higgins TS, Wu AW, Sharma D, Illing EA, Rubel K, Ting JY. Correlations of online search engine trends with coronavirus disease (COVID-19) incidence: Infodemiology study. JMIR Public Health and Surveillance. 2020; 6(2): e19702.
Misiak B, Szcześniak D, Koczanowicz L, Rymaszewska J. The COVID-19 outbreak and Google searches: Is it really the time to worry about global mental health?. Brain, Behavior, and Immunity. 2020; 87: 126–127.
Kurian SJ, Bhatti A ur R, Alvi MA, Ting HH, Storlie C, Wilson PM, et al. Correlations between COVID-19 cases and Google Trends data in the United States: A state-by-state analysis. In Mayo Clinic Proceedings. 2020; 95(11): 2370–2381.
Sahanic S, Boehm A, Pizzini A, Sonnweber T, Aichner M, Weiss G, et al. Assessing self-medication for obstructive airway disease during COVID-19 Google Trends. European Respiratory Journal. 2020; 56(5): 2002851.
Sousa-Pinto B, Heffler E, Antó A, Czarlewski W, Bedbrook A, Gemicioglu B, et al. Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic. Clinical and Translational Allergy. 2020; 10(1): 1–14.
Effenberger M, Kronbichler A, Shin J Il, Mayer G, Tilg H, Perco P. Association of the COVID-19 pandemic with internet search volumes: a Google TrendsTM analysis. International Journal of Infectious Diseases. 2020; 95: 192–197.
Nindrea RD, Sari NP, Lazuardi L, Aryandono T. Validation: The use of Google Trends as an alternative data source for COVID-19 surveillance in Indonesia. Asia Pacific Journal of Public Health. 2020; 32(6-7): 368–369.
Maidianto J. Pemakaian obat pada penyakit asma di Apotek Samudra 2 Medan tahun 2018 [Drug use in asthma patients at Samudra 2 Pharmacy, Medan] [Doctoral Dissertation]. Medan: Institut Kesehatan Helvetia; 2018.
Widayanti AW, Green JA, Heydon S, Norris P. Health-seeking behavior of people in Indonesia: A narrative review. Journal of Epidemiology and Global Health. 2020; 10(1): 6–15.
Dewi N, Juliadi D. Faktor Penyebab perilaku penjualan dan pembelian antibiotik tanpa resep dokter [Factors causing over-the-counter antibiotic sale and purchase]. Jurnal Farmasi & Sains Indonesia. 2021; 4(2): 19–25.
Mohammad Ashraf H, Sunderajan T, Pierre L, Kondamudi N, Adeyinka A. Aversion to hospital admission due to fear of COVID infection leading to fatality from diabetic ketoacidosis. Cureus. 2021; 13(2): e20251.
Husnayain A, Fuad A, Lazuardi L. Correlation between Google Trends on dengue fever and national surveillance report in Indonesia. Global Health Action. 2019; 12(1): 1552652.
Wang MY, Tang NJ. The correlation between Google trends and salmonellosis. BMC Public Health. 2021; 21(1): 1575.
Chen JG, Chen JL, Yang YR, Kou LY, Zhu K, Chang YN, et al. Correlation analysis of smell and taste loss with COVID-19 outbreak trend based on big data of internet. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2022; 57(3): 282–288.
Jimenez AJ, Estevez-Reboredo RM, Santed MA, Ramos V. COVID-19 symptom-related Google searches and local COVID-19 incidence in Spain: Correlational study. Journal of Medical Internet Research. 2020; 22(12): e23518.
Abbas M, Morland TB, Hall ES, El-Manzalawy Y. Associations between google search trends for symptoms and covid- 19 confirmed and death cases in the United States. International Journal of Environmental Research and Public Health. 2021; 18(9): 4560.
Puspitasari AD, Prabawati BM, Rosyid AN. Community knowledge and attitude in recognizing asthma symptoms and using medication for asthma attacks: a cross-sectional study. Journal of Basic and Clinical Physiology and Pharmacology. 2021; 32(4): 467–472.
Isnawati A, Gitawati R, Raini M, Alegantina S, Setiawaty V. Indonesia basic health survey: Self-medication profile for diarrhea with traditional medicine. African Health Sciences. 2019; 19(3) :2365–2371.
Budijanto D, Khairani, Kurniawan R, Widiantini W, Mulya D. InfoDATIN: Pusat data dan informasi Kementerian Kesehatan RI [InfoDATIN: Center for data and information, Ministry of Health of the Republic of Indonesia]. Jakarta: Kementerian Kesehatan Republik Indonesia; 2019.
Bennett JE, Stevens GA, Mathers CD, Bonita R, Rehm J, Kruk ME, et al. NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. The Lancet. 2018; 392(10152): 1072–1088.
Purnamasari D. The emergence of non-communicable disease in Indonesia. Acta Medica Indonesiana. 2018; 50(4): 273–274.
Ministry of Health of the Republic of Indonesia. Cetak biru strategi transformasi digital kesehatan 2024 [Digital health
transformation blueprint 2024]. Jakarta: Kementerian Kesehatan Republik Indonesia; 2021.
Sato K, Mano T, Iwata A, Toda T. Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: Potential risk of false-positivity. BMC Medical Research Methodology. 2021; 21(1): 147.
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