Naslov
Modelling Influenza Vaccination Outcomes

Autori
Trtica-Majnaric, Ljiljana ; Sarlija, Natasa ; Vitale, Branko

Izvornik
World Journal of Vaccines (2160-5815) 02 (2012), 01; 12-20

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
nfluenza Vaccination Outcome ; Modeling ; The Health-Status ; Systems Biology ; Logistic Regression ; Vaccination Protocols

Sažetak
Modelling response to influenza vaccination can improve our understanding of how proposed factors, older age, past exposure to influenza viruses, and health disorders, used together, affect antibody production after influenza vaccination. Knowledge about this may be important when planning influenza vaccination protocols. This problem will be em- phasized especially in the future, when many alternative vaccines and vaccination approaches are likely to be allowed for a routine use. A major difficulty, in modelling response to influenza vaccination, is how to identify health para- meters, suitable for general use. To deal with the complexity of this task, we reached out for the concept of a systems biology and machine learning methods. Based on this approach, we showed that it is possible to construct useful models of influenza vaccination outcomes. In addition, by varying criteria for definition of the model’s outcome measure, that is, of low antibody response to influenza vaccination, we showed that a set of health parameters, albeit limited, are necessary for model to achieve a wider practical use.

Izvorni jezik
Engleski

POVEZANOST RADA