To introduce systems biology as a conceptual framework for research in family medicine, based on empirical data from a case study on the prediction of influenza vaccination outcomes. This concept is primarily oriented towards planning preventive interventions and includes systematic data recording, a multi-step research protocol and predictive modelling.

Factors known to affect responses to influenza vaccination include older age, past exposure to influenza viruses, and chronic diseases; however, constructing useful prediction models remains a challenge, because of the need to identify health parameters that are appropriate for general use in modelling patients’ responses.

The sample consisted of 93 patients aged 50–89 years (median 69), with multiple medical conditions, who were vaccinated against influenza. Literature searches identified potentially predictive health-related parameters, including age, gender, diagnoses of the main chronic ageing diseases, anthropometric measures, and haematological and biochemical tests. By applying data mining algorithms, patterns were identified in the data set. Candidate health parameters, selected in this way, were then combined with information on past influenza virus exposure to build the prediction model using logistic regression.

A highly significant prediction model was obtained, indicating that by using a systems biology approach it is possible to answer unresolved complex medical uncertainties. Adopting this systems biology approach can be expected to be useful in identifying the most appropriate target groups for other preventive programmes.

Emergency medical services (EMS) personnel play an integral role during the national response to a pandemic event. To help ensure their health and safety, especially during the early stages of an outbreak, knowledge and adherence with personal protective equipment (PPE) and infection control strategies will be essential.

The objective of this study was to assess the effectiveness of a multi-method, pandemic preparedness training intervention using a pre-/post-test design.

A convenience sample of 129 EMS personnel participated in a training program on pandemic preparedness. Training consisted of an educational intervention with a focus on the routes of transmission of the influenza virus, proper use of respiratory PPE, agency policies regarding infection control practices, and seasonal influenza vaccination. This was followed by a skill-based drill on respirator fit-checking and proper respirator donning and doffing procedures.

Pre-/post-test results indicate a significant increase in knowledge and behavioral intentions with respect to respirator use, vaccination with seasonal influenza vaccine, and willingness to report to duty during a pandemic.

This method was effective in increasing knowledge and compliance intentions in EMS healthcare personnel. Further research should focus on whether training results in behavior modification.