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Publication : plos computational biology

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Academic Journal

Neural network models for influenza forecasting with associated uncertainty using Web search activity trends.

Authors : Morris, Michael¹ (AUTHOR) ; Hayes, Peter¹ (AUTHOR); Cox, Ingemar J.^1,2 (AUTHOR)

Source: PLoS Computational Biology. 8/28/2023, Vol. 19 Issue 8, p1-23. 23p. 4 Charts, 3 Graphs.

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Academic Journal

Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness.

Authors : Pei, Sen¹ (AUTHOR) ; Shaman, Jeffrey¹ (AUTHOR)

Source: PLoS Computational Biology. 10/22/2020, Vol. 16 Issue 10, p1-19. 19p. 7 Graphs.

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Academic Journal

Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data.

Authors : Rangarajan, Prashant¹ (AUTHOR); Mody, Sandeep K.² (AUTHOR); Marathe, Madhav³ (AUTHOR)

Source: PLoS Computational Biology. 11/21/2019, Vol. 15 Issue 11, p1-24. 24p. 12 Charts, 4 Graphs.

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Academic Journal

Addressing delayed case reporting in infectious disease forecast modeling.

Authors : Beesley, Lauren J.¹ (AUTHOR) ; Osthus, Dave¹ (AUTHOR); Del Valle, Sara Y.¹ (AUTHOR)

Source: PLoS Computational Biology. 6/3/2022, Vol. 18 Issue 6, p1-26. 26p. 1 Diagram, 2 Charts, 3 Graphs.

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Academic Journal

Accurate influenza forecasts using type-specific incidence data for small geographic units.

Authors : Turtle, James¹ (AUTHOR) ; Riley, Pete¹ (AUTHOR); Ben-Nun, Michal¹ (AUTHOR)

Source: PLoS Computational Biology. 7/29/2021, Vol. 17 Issue 7, p1-20. 20p. 1 Color Photograph, 1 Chart, 3 Graphs, 1 Map.

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Academic Journal

Tracking and predicting U.S. influenza activity with a real-time surveillance network.

Authors : Leuba, Sequoia I.¹ (AUTHOR); Yaesoubi, Reza² (AUTHOR); Antillon, Marina^3,4 (AUTHOR)

Source: PLoS Computational Biology. 11/2/2020, Vol. 16 Issue 11, p1-14. 14p. 4 Graphs, 1 Map.

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Academic Journal

Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic tracking.

Authors : McGough, Sarah F.¹ (AUTHOR) ; Johansson, Michael A.² (AUTHOR); Lipsitch, Marc^3,4 (AUTHOR)

Source: PLoS Computational Biology. 4/6/2020, Vol. 16 Issue 4, p1-20. 20p. 3 Charts, 2 Graphs.

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Academic Journal

Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales.

Authors : Olson, Donald R.¹ ; Konty, Kevin J.¹; Paladini, Marc¹

Source: PLoS Computational Biology. Oct2013, Vol. 9 Issue 10, p1-11. 11p.

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Academic Journal

Reappraising the utility of Google Flu Trends.

Authors : Kandula, Sasikiran¹ ; Shaman, Jeffrey¹

Source: PLoS Computational Biology. 8/2/2019, Vol. 15 Issue 8, p1-16. 16p. 3 Charts, 4 Graphs.

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Academic Journal

Forecasting national and regional influenza-like illness for the USA.

Authors : Ben-Nun, Michal¹ ; Riley, Pete¹; Turtle, James¹

Source: PLoS Computational Biology. 5/23/2019, Vol. 15 Issue 5, p1-20. 20p. 3 Color Photographs, 2 Graphs.

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نتائج البحث

فلترة النتائج

Neural network models for influenza forecasting with associated uncertainty using Web search activity trends.

Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness.

Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data.

Addressing delayed case reporting in infectious disease forecast modeling.

Accurate influenza forecasts using type-specific incidence data for small geographic units.

Tracking and predicting U.S. influenza activity with a real-time surveillance network.

Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic tracking.

Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales.

Reappraising the utility of Google Flu Trends.

Forecasting national and regional influenza-like illness for the USA.

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