Google Trends as a predictive tool in the era of COVID-19: a scoping review

被引：6
|
作者：
Zayed, Berlanty A. [1 ]
Talaia, Ahmed M. [1 ]
Gaaboobah, Mohamed A. [1 ]
Amer, Samar M. [1 ]
Mansour, Fotouh R. [2 ,3 ]
机构：
[1] Tanta Univ, Tanta Student Res Acad, Fac Med, Tanta 31111, Egypt
[2] Tanta Univ, Fac Pharm, Dept Pharmaceut Analyt Chem, Tanta 31111, Egypt
[3] Tanta Univ, Med Campus, Tanta 31111, Egypt
来源：
POSTGRADUATE MEDICAL JOURNAL | 2023年 / 99卷 / 1175期
关键词：
Google Trends; COVID-19; prediction; outbreak; pandemic; SEARCH TRENDS; OUTBREAK; DISEASE;
D O I：
10.1093/postmj/qgad012
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Google Trends has been extensively used in different sectors from finance to tourism, the economy, fashion, the fun industry, the oil trade, and healthcare. This scoping review aims to summarize the role of Google Trends as a monitoring and a predicting tool in the COVID-19 pandemic. Inclusion criteria for this scoping review were original English-language peer-reviewed research articles on the COVID-19 pandemic conducted in 2020 using Google Trends as a search tool. Articles that were in a language other than English, were only in abstract form, or did not discuss the role of Google Trends during the COVID-19 pandemic were excluded. According to these criteria, a total of 81 studies were included to cover the period of the first year after the emergence of the crisis. Google Trends can potentially help health authorities to plan and control pandemics earlier and to decrease the risk of infection among people.
引用
收藏
页码：962 / 975
页数：14
相关论文
共 50 条
  • [21] Adapting obstetric and neonatal services during the COVID-19 pandemic: a scoping review
    Gold, Shira
    Clarfield, Lauren
    Johnstone, Jennie
    Diambomba, Yenge
    Shah, Prakesh S.
    Whittle, Wendy
    Abbasi, Nimrah
    Arzola, Cristian
    Ashraf, Rizwana
    Biringer, Anne
    Chitayat, David
    Czikk, Marie
    Forte, Milena
    Franklin, Tracy
    Jacobson, Michelle
    Keunen, Johannes
    Kingdom, John
    Lapinsky, Stephen
    MacKenzie, Joanne
    Maxwell, Cynthia
    Preisman, Mary
    Ryan, Greg
    Selk, Amanda
    Sermer, Mathew
    Silversides, Candice
    Snelgrove, John
    Watts, Nancy
    Young, Beverly
    De Castro, Charmaine
    D'Souza, Rohan
    BMC PREGNANCY AND CHILDBIRTH, 2022, 22 (01)
  • [22] Clinical Predictive Models for COVID-19: Systematic Study
    Schwab, Patrick
    Schutte, August DuMont
    Dietz, Benedikt
    Bauer, Stefan
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (10)
  • [23] COVID-19 and Laparoscopic Surgery: Scoping Review of Current Literature and Local Expertise
    de Leeuw, Robert Adrianus
    Burger, Nicole Birgit
    Ceccaroni, Marcello
    Zhang, Jian
    Tuynman, Jurriaan
    Mabrouk, Mohamed
    Soldevila, Pere Barri
    Bonjer, Hendrik Jaap
    Ankum, Pim
    Huirne, Judith
    JMIR PUBLIC HEALTH AND SURVEILLANCE, 2020, 6 (02):
  • [24] Infection Control in the Era of COVID-19: A Narrative Review
    Shbaklo, Nour
    Lupia, Tommaso
    De Rosa, Francesco G.
    Corcione, Silvia
    ANTIBIOTICS-BASEL, 2021, 10 (10):
  • [25] The Management of Acute Colonic Diverticulitis in the COVID-19 Era: A Scoping Review
    Cirocchi, Roberto
    Nascimbeni, Riccardo
    Burini, Gloria
    Boselli, Carlo
    Barberini, Francesco
    Davies, Justin
    Di Saverio, Salomone
    Cassini, Diletta
    Amato, Bruno
    Binda, Gian Andrea
    Bassotti, Gabrio
    MEDICINA-LITHUANIA, 2021, 57 (10):
  • [26] Point-of-care ultrasound in the COVID-19 era: A scoping review
    Yau, Olivia
    Gin, Ken
    Luong, Christina
    Jue, John
    Abolmaesumi, Purang
    Tsang, Michael
    Nair, Parvathy
    Tsang, Teresa S. M.
    ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES, 2021, 38 (02): : 329 - 342
  • [27] The COVID-19 infodemic in Brazil: trends in Google search data
    Harb, Maria da Penha
    Veiga e Silva, Lena
    Vijaykumar, Nandamudi
    da Silva, Marcelino Silva
    Lisboa Frances, Carlos Renato
    PEERJ, 2022, 10
  • [28] GOOGLE TRENDS CONFIRMS COVID-19 IMPACT ON TOURIST INDUSTRY
    Menzel, Sybille
    Springer, Steffen
    Zieger, Michael
    Strzelecki, Artur
    TOURISM CULTURE & COMMUNICATION, 2023, 23 (2-3): : 97 - 102
  • [29] Predicting Electricity Consumption in Microgrid-Based Educational Building Using Google Trends, Google Mobility, and COVID-19 Data in the Context of COVID-19 Pandemic
    Wasesa, Meditya
    Andariesta, Dinda Thalia
    Afrianto, Mochammad Agus
    Haq, Irsyad Nashirul
    Pradipta, Justin
    Siallagan, Manahan
    Leksono, Edi
    Iskandar, Budi Permadi
    Putro, Utomo Sarjono
    IEEE ACCESS, 2022, 10 : 32255 - 32270
  • [30] An Infodemiological Analysis of Google Trends in COVID-19 Outbreak: Predict Case Numbers and Attitudes of Different Societies
    Doganer, Adem
    Zhang, Zuopeng
    JOURNAL OF DATABASE MANAGEMENT, 2021, 32 (02) : 1 - 19
12345