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THE NUMERICAL FORECAST OF PANDEMIC SPREADING: THE CASE STUDY OF THE 2009 A/H1N1 PDM

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Notes

  1. 1.

    These findings were published in September 2009: Duygu Balcan, Hao Hu, Bruno Gonçalves, Paolo Bajardi, Chiara Poletto, José J Ramasco, Daniela Paolotti, Nicola Perra, Michele Tizzoni, Wouter Van den Broeck, Vittoria Colizza, and Alessandro Vespignani, “Seasonal transmission potential and activity peaks of the new influenza A (H1N1): a Monte Carlo likelihood analysis based on human mobility,” BMC medicine 7, 45 (2009).

  2. 2.

    A full technical analysis of the results of GLEAM and their comparison with empirical data can be found in: Michele Tizzoni, Paolo Bajardi, Chiara Poletto, José J Ramasco, Duygu Balcan, Bruno Gonçalves, Nicola Perra, Vittoria Colizza, and Alessandro Vespignani, “Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1 pdm,” BMC Medicine 10, 165(2012).

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Pastore y Piontti, A., Perra, N., Rossi, L., Samay, N., Vespignani, A. (2019). THE NUMERICAL FORECAST OF PANDEMIC SPREADING: THE CASE STUDY OF THE 2009 A/H1N1 PDM. In: Charting the Next Pandemic. Springer, Cham. https://doi.org/10.1007/978-3-319-93290-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-93290-3_5

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