School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Department of Nutrition, Faculty of Health Sciences, Universitas Negeri Surabaya, Surabaya, Indonesia.
F1000Res. 2023 Aug 29;12:804. doi: 10.12688/f1000research.134366.2. eCollection 2023.
The COVID-19 pandemic has grown to be a serious issue on a global scale. Dental care is one of the industries affected by COVID-19. The surveillance utilizing lifetime data, however, is still not clear. The purpose of this study was to use Google Trends (GT) analysis to examine symptom trends and challenges during the COVID-19 outbreak in Indonesia. Covid-19 cases retrieve from Our World in Data. The cases were collected between 1 April 2021-30 September 2021. The GT was used to discover Indonesian relative search volume (RSVs) covering the timeframe of the first outbreak covid-19 pandemic in Indonesia on 1 March 2020 until 13 February 2022. The duration of the search was chosen to reflect the relative popularity of the keywords "symptoms and dentistry practice challenge-related terms" and "coronavirus". We observed that there was a significant and positive correlation between the COVID-19 daily case using GT RSV data and the COVID-19 case from Our World in Data. The COVID-19 daily case had a strong correlation with search terms related to symptoms (such as fever, sore throat, flu, toothache, and cough), drugs (such as ibuprofen, paracetamol, demacolin, bodrex, and antibiotic), and health management (such as self-isolation and telemedicine). Using GT may be helpful to observe the current symptoms trends as well as its challenge tendencies as a surveillance tool for a continuing pandemic like COVID-19. GT should be considered and used as it has the potential to be a powerful digital epidemiology tool that can provide more insight into disease dynamics.
新型冠状病毒肺炎（COVID-19）大流行已成为全球范围内的严重问题。牙科护理是受 COVID-19 影响的行业之一。然而，利用终生数据进行监测的情况尚不清楚。本研究旨在使用谷歌趋势（GT）分析来研究 COVID-19 在印度尼西亚爆发期间的症状趋势和挑战。从 Our World in Data 检索 COVID-19 病例。这些病例收集于 2021 年 4 月 1 日至 2021 年 9 月 30 日。GT 用于发现印度尼西亚相对搜索量（RSV），涵盖了 2020 年 3 月 1 日印度尼西亚 COVID-19 大流行第一波爆发至 2022 年 2 月 13 日的时间框架。选择搜索时间以反映关键词“症状和牙科实践挑战相关术语”和“冠状病毒”的相对流行度。我们观察到，使用 GT RSV 数据的 COVID-19 每日病例与 Our World in Data 的 COVID-19 病例之间存在显著正相关。COVID-19 每日病例与与症状（如发烧、喉咙痛、流感、牙痛和咳嗽）、药物（如布洛芬、对乙酰氨基酚、 demacolin、bodrex 和抗生素）和健康管理（如自我隔离和远程医疗）相关的搜索词具有很强的相关性。使用 GT 可能有助于观察当前的症状趋势及其作为 COVID-19 等持续大流行的监测工具的挑战趋势。GT 应该被考虑和使用，因为它有可能成为一种强大的数字流行病学工具，可以更深入地了解疾病动态。
