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Citing this Article

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Published on 06.11.17 in Vol 19, No 11 (2017): November

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

Works citing "Subregional Nowcasts of Seasonal Influenza Using Search Trends"

Sasikiran Kandula, Daniel Hsu, Jeffrey Shaman

J Med Internet Res 2017 (Nov 06); 19(11):e370 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7486):

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

  1. Kim M, Yune S, Chang S, Jung Y, Sa SO, Han HW. The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study. JMIR mHealth and uHealth 2019;7(10):e14276
    CrossRef
  2. Kandula S, Shaman J. Near-term forecasts of influenza-like illness. Epidemics 2019;27:41
    CrossRef
  3. Osthus D, Daughton AR, Priedhorsky R, Broniatowski DA. Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited. PLOS Computational Biology 2019;15(2):e1006599
    CrossRef
  4. Kandula S, Shaman J, Segata N. Reappraising the utility of Google Flu Trends. PLOS Computational Biology 2019;15(8):e1007258
    CrossRef
  5. 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
  6. Kandula S, Pei S, Shaman J. Improved forecasts of influenza-associated hospitalization rates with Google Search Trends. Journal of The Royal Society Interface 2019;16(155):20190080
    CrossRef
  7. Reich NG, McGowan CJ, Yamana TK, Tushar A, Ray EL, Osthus D, Kandula S, Brooks LC, Crawford-Crudell W, Gibson GC, Moore E, Silva R, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J, Pitzer VE. Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.. PLOS Computational Biology 2019;15(11):e1007486
    CrossRef
  8. Lutz CS, Huynh MP, Schroeder M, Anyatonwu S, Dahlgren FS, Danyluk G, Fernandez D, Greene SK, Kipshidze N, Liu L, Mgbere O, McHugh LA, Myers JF, Siniscalchi A, Sullivan AD, West N, Johansson MA, Biggerstaff M. Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples. BMC Public Health 2019;19(1)
    CrossRef
  9. Kandula S, Yamana T, Pei S, Yang W, Morita H, Shaman J. Evaluation of mechanistic and statistical methods in forecasting influenza-like illness. Journal of The Royal Society Interface 2018;15(144):20180174
    CrossRef
  10. 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
  11. Lu FS, Hattab MW, Clemente CL, Biggerstaff M, Santillana M. Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. Nature Communications 2019;10(1)
    CrossRef
  12. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  13. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  14. Yan Y, Jebara T, Abernathey R, Goes J, Gomes H, Añel JA. Robust learning algorithms for capturing oceanic dynamics and transport of Noctiluca blooms using linear dynamical models. PLOS ONE 2019;14(6):e0218183
    CrossRef
  15. Kolff CA, Scott VP, Stockwell MS. The use of technology to promote vaccination: A social ecological model based framework. Human Vaccines & Immunotherapeutics 2018;14(7):1636
    CrossRef
  16. Talaei-Khoei A, Wilson JM, Kazemi S. Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment. JMIR Public Health and Surveillance 2019;5(1):e11357
    CrossRef
  17. Pei S, Shaman J, Del Valle SY. Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness. PLOS Computational Biology 2020;16(10):e1008301
    CrossRef
  18. Miliou I, Xiong X, Rinzivillo S, Zhang Q, Rossetti G, Giannotti F, Pedreschi D, Vespignani A, Viboud C. Predicting seasonal influenza using supermarket retail records. PLOS Computational Biology 2021;17(7):e1009087
    CrossRef
  19. GÜNALAN E, ÇONAK . CAN ONLINE DIETITIAN BE A NOVEL TREND OF POST-PANDEMIC ERA IN TURKEY?. Acibadem Universitesi Saglik Bilimleri Dergisi 2022;13(3)
    CrossRef
  20. Lin C, Yousefi S, Kahoro E, Karisani P, Liang D, Sarnat J, Agichtein E. Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation. JMIR Formative Research 2022;6(12):e23422
    CrossRef
  21. Reich NG, Brooks LC, Fox SJ, Kandula S, McGowan CJ, Moore E, Osthus D, Ray EL, Tushar A, Yamana TK, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States. Proceedings of the National Academy of Sciences 2019;116(8):3146
    CrossRef
  22. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130
    CrossRef
  23. Jung S, Moon J, Park S, Hwang E. Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. IEEE Journal of Biomedical and Health Informatics 2022;26(2):922
    CrossRef
  24. Kandula S, Olfson M, Gould MS, Keyes KM, Shaman J, Zhu L. Hindcasts and forecasts of suicide mortality in US: A modeling study. PLOS Computational Biology 2023;19(3):e1010945
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.7486):

  1. Spitzberg BH, Tsou M, Jung C. The Handbook of Applied Communication Research. 2020. :163
    CrossRef
  2. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
    CrossRef
  3. Adiga A, Lewis B, Levin S, Marathe MV, Poor HV, Ravi SS, Rosenkrantz DJ, Stearns RE, Venkatramanan S, Vullikanti A, Wang L. Artificial Intelligence in Covid-19. 2022. Chapter 9:193
    CrossRef