Modeling uncertainties in workforce disruptions from influenza pandemics using dynamic input-output analysis.

摘要: Influenza pandemic is a serious disaster that can pose significant disruptions to the workforce and associated economic sectors. This article examines impact of influenza on availability within an interdependent set We introduce simulation model based dynamic input-output capture propagation consequences through National Capital Region (NCR). The analysis conducted in this 2009 H1N1 data. Two metrics were used assess impacts sectors: (i) inoperability, which measures percentage gap between as-planned output actual sector, (ii) loss, quantifies monetary value degraded output. inoperability loss generate two different rankings critical Results show most sectors terms are related hospitals health-care providers. On other hand, critically ranked with total production outputs NCR such as federal government agencies. Therefore, policy recommendations relating potential mitigation recovery strategies should take into account balance metrics.