44. MONITORING COMMUNITY INTEREST IN DENGUE FEVER THROUGH GOOGLE TRENDS: A DESCRIPTIVE STUDY IN SPACE AND TIME
Main Article Content
Abstract
Objective: Describe the trend of searching for information about dengue fever in Vietnam in the period 2024-2025 by space and time using the Google Trends tool.
Subjects and methods: The descriptive study uses secondary data from the Google Trends platform, analyzing Vietnamese keywords related to dengue fever searched by users in Vietnam from August 2024 to July 2025. Data were processed using Excel, analyzed by SVI by month and by locality.
Results: The search index increased in November 2024 (SVI: 95), decreased to the lowest level in April 2025 (SVI: 29), then increased again in July 2025. Hai Phong, Dak Nong, and Quang Binh were localities with high search levels. The most popular keywords were “Dengue fever” (100), “having Dengue fever” (93), while keywords related to treatment and testing had lower indexes (18-21).
Conclusion: Search trends reflect seasonal and geographical community interest, showing the potential for applying Google Trends as a complementary tool in epidemiological surveillance and public health communication in Vietnam.
Article Details
Keywords
Google Trends, Dengue fever, epidemiological surveillance, online search, risk communication, spatio-temporal analysis.
References
[2] Yang Shihao, Kou Samuel C, Lu Fred et al. Advances in using Internet searches to track dengue. PLOS Computational Biology, 2017, 13 (7).
[3] El-Metwally Ashraf. Google Search Trend of Dengue fever in developing Countries in 2013-2014: An Internet-Based Analysis. Journal of Health Informatics in Developing Countries, 2015, 9 (1).
[4] An Dao Thi Minh, Rocklöv Joacim. Epidemiology of dengue fever in Hanoi from 2002 to 2010 and its meteorological determinants. Global Health Action, 2014, 7 (1), p. 23074-23074.
[5] Thi Diem Phuong Le, Thi Tuyet Hanh Tran, Sinh Nam Vu. Climate Variability and Dengue Hemorrhagic Fever in Ba Tri District, Ben Tre Province, Vietnam during 2004-2014. AIMS Public Health, 2016, 3 (4), p. 769-780.
[6] Van Tuan Le, Thi Tuyet Van Nguyen, Thi Tuyet Nga Phan et al. Seasonal Distribution of Dengue Fever in the Central Highlands Region, Vietnam (2010- 2015). American Journal of Epidemiology and Infectious Disease, 2017, 5 (1), p. 8-13.
[7] T,G Rebecca, Michael A.J, Mauricio S, John S.B. Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends. PLOS Neglected Tropical Diseases, 2014, 8 (2).
[8] Cuong Quoc Hoang, Nguyen Thanh Vu, Cazelles Bernard et al. Spatiotemporal Dynamics of Dengue Epidemics, Southern Vietnam. Emerging Infectious Diseases, 2013, 19 (6), p. 945-953.
[9] Hoang V.T, Kuzin A.A, Zobov A.E et al. Experience in conducting an epidemiological analysis of Dengue incidence in the Socialist Republic of Vietnam using geographic information systems. Journal Infectology, 2023, 15 (3), p. 128-135
[10] Nguyen Luong Thi, Le Huy Xuan, Nguyen Dong Thanh et al. Impact of Climate Variability and Abundance of Mosquitoes on Dengue Transmission in Central Vietnam. International Journal of Environmental Research and Public Health, 2020, 17 (7), p. 2453.
[11] Nguyen Hai Tuan, Khuê Phạm Minh, Thien Phung Chi et al. Application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023. Deleted Journal, 2024, 34 (4), p. 98-103.
[12] Mood Batool Sharifi, Mardani Masoud. Dengue: A Re-Emerging Disease. Archives of Clinical Infectious Diseases, 2016, 12 (1), p. 1-5.
[13] Alageeli Mohammed, Madkhali Ali Hadi Yahya, Bajawi Ammar et al. Global prevalence of Dengue fever: a comprehensive systematic review (2016-2024). International Journal of Medicine in Developing Countries, 2024, 8 (11), 3286-3294.
[14] Silva Ilaydiany Oliveira, Gouveia Fabio Castro. A busca de informação sobre Dengue NA web: um estudo webmétrico, 2017.