Population-based simulations of influenza pandemics: validity and significance for public health policy
Toomas Timpka, Henrik Eriksson, Elin A Gursky, James M Nyce, Magnus Morin, Johan Jenvald, Magnus Strömgren, Einar Holm & Joakim Ekberg
Volume 87, Number 4, April 2009, 305-311
Table 1. Strategic pandemic response framework, based on the Haddon matrix,11 used for planning case-study simulations
| Pandemic timeline | Factors influencing pandemic spread |
|||
|---|---|---|---|---|
| Individual | Physical environment | Social environment | Agent/vector | |
| Pre-event phase: | Immunization status | Community structure: | Pandemic policies | Mapping |
| Underlying risk factors for viral spread | - day care | |||
| - schools | ||||
| Event phase: | Nutritional state | Information infrastructure | Social networking patterns | Infectivity |
| Determinants of viral spread | Quarantine possibilities | Sustainability of social order | ||
| Availability of first-aid kits | ||||
| Post-event phase: | Self-care resources | Health-care facilities | Mobilization of civic resources | Virulence |
| Determination of final severity and consequences of the epidemic | Antiviral medication | Equipment and supplies | Mobilization of industrial response (production of vaccine and antivirals) | |