2020, Number 3
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ABSTRACTCoronavirus disease 2019 has put the world in a health emergency. Searching for information on the Internet largely reflects people's interest in this pandemic.
Objective: Conduct an exploratory analysis of Internet search trends during the 2019 coronavirus disease outbreak.
Methods: Google Trends was used to provide data on the relative volume of Google searches for terms related to 2019 coronavirus disease. The evaluation period was from January 01 to May 17, 2020.
Results: The search term used to know this pandemic was “coronavirus”, the most searched symptom was “fever”, followed by “sore throat” and “cough”, in addition, the interest of users to know the transmission routes of the acute respiratory syndrome coronavirus 2. As for preventive measures, the most searched term was “stay home”, followed by “facial masks”, “social distancing” and “washing hands”.
Conclusions: The results confirmed interest in COVID-19 via Internet. Using information from people's Internet search interest could help formulate health policies to better control the 2019 coronavirus disease outbreak.
Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. J Med Virol. 2020 [access: 13/05/2020];92(4):401-2. Available at: https://www.ncbi.nlm.nih.gov/pubmed/?term=Pneumonia+outbreak+of+unknown+etiology+in+Wuhan%2C+China%3A+the+mystery+and+the+miracle
Coronaviridae Study Group of the International Committee on Taxonomy of Viruses. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat Microbiol. 2020 [access: 15/05/2020];5(4): 536-44. Available in: https://www.nature.com/articles/s41564-020-0695-z
Center for Systems Science and Engineering. Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). CSSE; 2020 [access 02/06/2020]. Available in: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
Dingtao Hu, Xiaoqi Lou, Zhiwei Xu, Nana Meng, Qiaomei Xie, Man Zhang, et al. More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends. J Glob Health. 2020 [access: 15/05/2020];10(1): 011003. Available in: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182392/
Higgins T, Wu A, Sharma D, Illing E, Rubel K, Ting J, et al. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health Surveill. 2020 [access: 18/05/2020]; 6(2):e19702. Available in: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244220/
Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J, Bruce H, et al. First case of 2019 novel coronavirus in the United States. N Engl J Med. 2020;382(10):929-36. Available in: https://www.nejm.org/doi/full/10.1056/NEJMoa2001191?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed
Lyu W, Wehby G. Comparison of estimated rates of coronavirus disease 2019 (COVID-19) in Border Counties in Iowa without a Stay-at-Home Order and Border Counties in Illinois with a Stay-at-Home Order. JAMA Newt Open. 2020 [access: 28/05/2020];3(5):e2011102. Available in: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2766229