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Citing this Article

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Published on 08.01.18 in Vol 20, No 1 (2018): January

This paper is in the following e-collection/theme issue:

Works citing "Relationship Between State-Level Google Online Search Volume and Cancer Incidence in the United States: Retrospective Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.8870):

(note that this is only a small subset of citations)

  1. Xu C, Wang Y, Yang H, Hou J, Sun L, Zhang X, Cao X, Hou Y, Wang L, Cai Q, Wang Y. Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study. Journal of Medical Internet Research 2019;21(1):e10677
    CrossRef
  2. Xu C, Yang H, Sun L, Cao X, Hou Y, Cai Q, Jia P, Wang Y. Detecting Lung Cancer Trends by Leveraging Real-World and Internet-Based Data: Infodemiology Study. Journal of Medical Internet Research 2020;22(3):e16184
    CrossRef
  3. . Dijital epidemiyoloji. Türkiye Halk Sağlığı Dergisi 2020;18(2):192
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  4. Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
    CrossRef
  5. Vuong J, Singh A, Falk RH, Merchant R, Dorbala S. Geographic variation in public interest about amyloidosis in the United States and English speaking countries. Amyloid 2020;27(3):210
    CrossRef
  6. Bach RL, Wenz A, Borsci S. Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE 2020;15(6):e0234663
    CrossRef
  7. . Google arama hacmi verileri ile Türkiye’de hastalık farkındalık günlerinin etkinliğinin değerlendirilmesi. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2020;13(2):177
    CrossRef
  8. Memon SA, Razak S, Weber I. Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study. Journal of Medical Internet Research 2020;22(1):e13347
    CrossRef
  9. Zhang Y, Bambrick H, Mengersen K, Tong S, Feng L, Zhang L, Liu G, Xu A, Hu W. Association of sociodemographic factors and internet query data with pertussis infections in Shandong, China. Epidemiology and Infection 2019;147
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  10. Shlykov MA, Ghani KR. EDITORIAL COMMENT. Urology 2018;121:78
    CrossRef
  11. Schliemann D, Htay MNN, Dahlui M, Paramasivam D, Cardwell CR, Ibrahim Tamin NSB, Somasundaram S, Donnelly C, Su TT, Donnelly M. Impact of a mass media campaign on breast cancer symptoms awareness and screening uptake in Malaysia: findings from a quasi-experimental study. BMJ Open 2020;10(8):e036503
    CrossRef
  12. Phillips CA, Hunt A, Salvesen‐Quinn M, Guerra J, Schapira MM, Bailey LC, Merchant RM. Health‐related Google searches performed by parents of pediatric oncology patients. Pediatric Blood & Cancer 2019;66(8)
    CrossRef
  13. Mimura W, Akazawa M. The Association Between Internet Searches and Moisturizer Prescription in Japan: Retrospective Observational Study. JMIR Public Health and Surveillance 2019;5(4):e13212
    CrossRef
  14. Weitzman ER, Magane KM, Chen P, Amiri H, Naimi TS, Wisk LE. Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale. American Journal of Preventive Medicine 2020;58(1):79
    CrossRef
  15. Marcu A, Muller C, Ream E, Whitaker KL. Online Information-Seeking About Potential Breast Cancer Symptoms: Capturing Online Behavior With an Internet Browsing Tracking Tool. Journal of Medical Internet Research 2019;21(2):e12400
    CrossRef
  16. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  17. McDonald L, Simpson A, Graham S, Schultze A, Nordstrom B, Durani P, Mehmud F, Ramagopalan SV. Google searches do not correlate with melanoma incidence in majority English speaking countries. npj Digital Medicine 2018;1(1)
    CrossRef
  18. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
    CrossRef
  19. Park H, Jung H, On J, Park SK, Kang H. Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Healthcare Informatics Research 2018;24(4):253
    CrossRef
  20. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  21. Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Research Protocols 2020;9(7):e16543
    CrossRef
  22. Mavragani A, Ochoa G, Tsagarakis KP. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270
    CrossRef
  23. Vernon E, Gottesman Z, Warren R. The value of health awareness days, weeks and months: A systematic review. Social Science & Medicine 2021;268:113553
    CrossRef
  24. Xu C, Cao Z, Yang H, Gao Y, Sun L, Hou Y, Cao X, Jia P, Wang Y. Leveraging Internet Search Data to Improve the Prediction and Prevention of Noncommunicable Diseases: Retrospective Observational Study. Journal of Medical Internet Research 2020;22(11):e18998
    CrossRef
  25. Whiteman A, Wejnert C, Morris E, Burnett J. Using Search Engine Data to Explore Interest in PrEP and HIV Testing in the United States. AIDS and Behavior 2021;25(3):983
    CrossRef
  26. Meira TM, Prestes J, Gasparello GG, Antelo OM, Pithon MM, Tanaka OM. The effects of images posted to social media by orthodontists on public perception of professional credibility and willingness to become a client. Progress in Orthodontics 2021;22(1)
    CrossRef
  27. Zhang H, Wang Y, Zheng Q, Tang K, Fang R, Wang Y, Sun Q. Research Interest and Public Interest in Melanoma: A Bibliometric and Google Trends Analysis. Frontiers in Oncology 2021;11
    CrossRef
  28. . The Relationship Between Cancer Incidence and Awareness Activities and Google Online Search Volume in Turkey: A Retrospective Research. Acibadem Universitesi Saglik Bilimleri Dergisi 2021;12(2)
    CrossRef
  29. Adelhoefer S, Berning P, Solomon SB, Maybody M, Whelton SP, Blaha MJ, Dzaye O. Decreased public pursuit of cancer-related information during the COVID-19 pandemic in the United States. Cancer Causes & Control 2021;32(6):577
    CrossRef
  30. Yang J, Zhang Y, Xiao Y, Shen S, Su M, Bai Y, Zhou J, Gong P. Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China. International Journal of Environmental Research and Public Health 2021;18(8):4264
    CrossRef
  31. Yao J, Tan CS, Lim N, Tan J, Chen C, Müller-Riemenschneider F. Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults. Scientific Reports 2021;11(1)
    CrossRef
  32. Greiner B, Lee M, Nelson B, Hartwell M. The pink elephant in the room: Declining public interest in breast cancer and the impact of marketing efforts. Journal of Cancer Policy 2021;28:100287
    CrossRef
  33. Hanna K, Arthur M, Welliver C. Erectile dysfunction and prostate diseases are the predominant Google search terms amongst men’s health topics. International Journal of Impotence Research 2022;34(6):552
    CrossRef
  34. Naik H, Johnson MDD, Johnson MR. Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study. Journal of Medical Internet Research 2021;23(6):e27052
    CrossRef
  35. Xu R, Brown P, Baxter N, Sawka AM. Online Public Interest in Cancer During the COVID-19 Pandemic. JCO Clinical Cancer Informatics 2021;(5):695
    CrossRef
  36. Lee EWJ, Bekalu MA, McCloud RF, Viswanath K. Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication. Health Communication 2023;38(2):335
    CrossRef
  37. Salbaş E, Ketenci S. Infodemiology of Bell’s palsy: Tracing the seasonality of facial paralysis. Journal of Back and Musculoskeletal Rehabilitation 2022;35(3):615
    CrossRef
  38. Yang M, Lim MK, Qu Y, Li X, Ni D. Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction. Expert Systems with Applications 2023;213:118873
    CrossRef
  39. Tas F, Erturk K. Using Google as a Source of Information About Breast Cancer. Indian Journal of Surgery 2023;85(2):473
    CrossRef
  40. Cao M, Guan T, Han X, Shen B, Chao B, Liu Y. Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data. BMJ Open 2021;11(12):e054463
    CrossRef
  41. Okunoye B, Ning S, Jemielniak D. Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends. JMIR Formative Research 2022;6(3):e29819
    CrossRef
  42. Kanmodi K, Abolade O, Amzat J, Nnyanzi L. Analysis of Global Search and Research Interests on Dentists Using Infoveillance and Bibliometric Approaches. Oral 2022;3(1):11
    CrossRef
  43. Vasconcellos-Silva PR, Araújo-Jorge TCD. Ciclos de interesse coletivo e tendências das buscas no Google relacionadas a campanhas institucionais sobre o câncer de próstata: promovendo saúde ou doenças?. Ciência & Saúde Coletiva 2021;26(suppl 2):3517
    CrossRef
  44. Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1)
    CrossRef
  45. Kulkarni V, Okoye GA, Garza LA, Wongvibulsin S. Geospatial Heterogeneity of Hidradenitis Suppurativa Searches in the United States: Infodemiology Study of Google Search Data. JMIR Dermatology 2022;5(2):e34594
    CrossRef
  46. Khene Z, Guérin S, Khene F, Pradère B, Roumiguié M, Mathieu R, Pignot G, Massard C, Neuzillet Y, Ploussard G, Bigot P, De la taille A, Rouprêt M, Bensalah K. Online Public Interest in Urological Cancers During the COVID-19 Pandemic: What Can “Dr. Google” Teach Us?. European Urology Open Science 2022;37:73
    CrossRef
  47. Kamiński M, Czarny J, Skrzypczak P, Sienicki K, Roszak M. The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review. Journal of Medical Internet Research 2023;25:e47582
    CrossRef
  48. Javadi V, Kamfar S, Zeinali V, Rahmani K, Moghaddamemami FH. Online information-seeking behavior of Iranian web users on Google about Henoch–Schönlein purpura (HSP): an infodemiology study. BMC Health Services Research 2023;23(1)
    CrossRef
  49. Bachl M, Link E, Mangold F, Stier S. Search Engine Use for Health-Related Purposes: Behavioral Data on Online Health Information-Seeking in Germany. Health Communication 2024;:1
    CrossRef
  50. Tas F, Erturk K. Online public interest in smoking and lung cancer: A comparative study in Google Trends. Journal of Cancer Research and Therapeutics 2023;19(Suppl 2):S614
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.8870):

  1. Roy S, Saha A. Information and Communication Technology for Sustainable Development. 2020. Chapter 38:391
    CrossRef