Selected article for: "H1N1 influenza and mathematical model"

Author: Liu, Wendi; Tang, Sanyi; Xiao, Yanni
Title: Model Selection and Evaluation Based on Emerging Infectious Disease Data Sets including A/H1N1 and Ebola
  • Document date: 2015_9_15
  • ID: 0j4is0n4_1
    Snippet: Emerging and reemerging infectious diseases such as severe acute respiratory syndrome (SARS) in 2003 [1, 2] , novel influenza (A/H1N1) pandemic in 2009 [3] , and Ebola outbreak in West Africa in 2014 significantly affect public health, economic activity, and population movements. In particular, the 2014 Ebola outbreak in West Africa represents the largest outbreak of Ebola virus to date. Public health interventions have been introduced in all aff.....
    Document: Emerging and reemerging infectious diseases such as severe acute respiratory syndrome (SARS) in 2003 [1, 2] , novel influenza (A/H1N1) pandemic in 2009 [3] , and Ebola outbreak in West Africa in 2014 significantly affect public health, economic activity, and population movements. In particular, the 2014 Ebola outbreak in West Africa represents the largest outbreak of Ebola virus to date. Public health interventions have been introduced in all affected countries and show the great effects on the infection. However, the numbers of infected cases from Ebola show a trend of bouncing back after declining in February 2015. Those indicate that the outbreak patterns of Ebola in West Africa become more and more complex, and hence it is important to determine the best model by employing mathematical models and model selection methods, which can be used to estimate and predict the characteristics of emerging infectious diseases.

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