title: [Mathematical modeling of the novel influenza A (H1N1) virus and evaluation of the epidemic response strategies in the Republic of Korea].
abstract: OBJECTIVE
  The pandemic of novel influenza A (H1N1) virus has required decision-makers to act in the face of the substantial uncertainties. In this study, we evaluated the potential impact of the pandemic response strategies in the Republic of Korea using a mathematical model.
  
  
  METHODS
  We developed a deterministic model of a pandemic (H1N1) 2009 in a structured population using the demographic data from the Korean population and the epidemiological feature of the pandemic (H1N1) 2009. To estimate the parameter values for the deterministic model, we used the available data from the previous studies on pandemic influenza. The pandemic response strategies of the Republic of Korea for novel influenza A (H1N1) virus such as school closure, mass vaccination (70% of population in 30 days), and a policy for anti-viral drug (treatment or prophylaxis) were applied to the deterministic model.
  
  
  RESULTS
  The effect of two-week school closure on the attack rate was low regardless of the timing of the intervention. The earlier vaccination showed the effect of greater delays in reaching the peak of outbreaks. When it was no vaccination, vaccination at initiation of outbreak, vaccination 90 days after the initiation of outbreak and vaccination at the epidemic peak point, the total number of clinical cases for 400 days were 20.8 million, 4.4 million, 4.7 million and 12.6 million, respectively. The pandemic response strategies of the Republic of Korea delayed the peak of outbreaks (about 40 days) and decreased the number of cumulative clinical cases (8 million).
  
  
  CONCLUSIONS
  Rapid vaccination was the most important factor to control the spread of pandemic influenza, and the response strategies of the Republic of Korea were shown to delay the spread of pandemic influenza in this deterministic model.
authors.affiliation: Department of Preventive Medicine, Yonsei University College of Medicine, Korea.
authors.forename: Mina
authors.initials: M
authors.lastname: Suh
authors.forename: Jeehyun
authors.initials: J
authors.lastname: Lee
authors.forename: Hye Jin
authors.initials: HJ
authors.lastname: Chi
authors.forename: Young Keun
authors.initials: YK
authors.lastname: Kim
authors.forename: Dae Yong
authors.initials: DY
authors.lastname: Kang
authors.forename: Nam Wook
authors.initials: NW
authors.lastname: Hur
authors.forename: Kyung Hwa
authors.initials: KH
authors.lastname: Ha
authors.forename: Dong Han
authors.initials: DH
authors.lastname: Lee
authors.forename: Chang Soo
authors.initials: CS
authors.lastname: Kim
mesh_terms: D000998:Antiviral Agents / Q000627:therapeutic use; D004189:Disaster Planning / Q000458:organization & administration*; D004196:Disease Outbreaks; D006291:Health Policy; D006801:Humans; D017589:Immunization Programs / Q000458:organization & administration; D053118:Influenza A Virus, H1N1 Subtype; D007251:Influenza, Human / Q000188:drug therapy / Q000453:epidemiology* / Q000517:prevention & control; D008962:Models, Theoretical; D011790:Quarantine / Q000458:organization & administration; D056910:Republic of Korea / Q000453:epidemiology
chemical_list: D000998:Antiviral Agents