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. 2013 Dec 27;8(12):e84121. doi: 10.1371/journal.pone.0084121

Table 1. Parameter and data sources.

parameter Distribution of assumption factors* Data source
Seasonal influenza (2007–2009 Seasons) H1N1 Influenza 2009 (2009–2010 Season)
Direct costs
Direct medical costs
 Medical costs of inpatient and outpatient Total medical cost HIRA data HIRA data
 Stockpile antivirals Total cost of antiviral - NHIC data
Direct non-medical costs
 Transport costs of inpatient Number of visits to inpatient HIRA data HIRA data
Return fare Normal (Mean  = 19.2, SD = 1.92) KNHNES KNHNES
 Transport costs of outpatient Number of visits to outpatient HIRA data HIRA data
Return fare Normal (Mean  = 15.5, SD = 1.55) KNHNES KNHNES
Indirect costs
Productivity losses due to morbidity of inpatient Number of visits to inpatient & Duration of hospitalization HIRA data HIRA data
Average daily earnings & Employment-population ratio KOSIS data KOSIS data
Productivity losses due to morbidity of outpatient Number of visits to outpatient HIRA data HIRA data
Duration of sick leave Seasonal influenza: Uniform (Range: 0.5–4.5); H1N1 Influenza 2009: Negative binomial (Probability  = 0.7166, Shape  = 5) Literature review Mailing survey
Average daily earnings & Employment-population ratio KOSIS data KOSIS data
Productivity losses of caregiver Duration of sick leave Seasonal influenza: Uniform (Range: 0.5–4.5); H1N1 Influenza 2009: Negative binomial (Probability  = 0.7166, Shape  = 5) Literature review Mailing survey
Female average daily earnings & Employment-population ratio KOSIS data KOSIS data
Productivity losses due to premature mortality Mortality data KOSIS data KCDC surveillance data
Life expectancy & Average annual earnings KOSIS data KOSIS data
Prevention strategy
Execution of the budget Execution of the budget regarding pandemic (H1N1) 2009 - KNAB
Protective equipment Price of prevention equipment Uniform (Range: 0.47–4.7) - Literature review
Probability of purchasing Normal (Mean  = 0.325, SD = 0.03) - Literature review

*Uncertainty of the data was explored through probabilistic sensitivity analysis using Monte Carlo simulation.