Download e-book for iPad: Modelling in Public Health Research: How Mathematical by E. Mansnerus

Risk Management

By E. Mansnerus

This e-book analyses the improvement and use of mathematical types in public healthiness learn and coverage. by means of introducing a existence cycle metaphor, the writer presents a special standpoint on how mathematical modelling options have elevated our realizing of the governance of infectious dangers in society.

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Example text

In the previous section, I introduced Hoover’s account of economic models that inspire us to think about how models are related, how they form ‘kinship relations’ and why this is a useful way to look at modelling work. As a notion, kinship can be easily thought of as an anthropological concept, a way to organise human histories. But in our daily lives we relate to our families, we name our next of kin, and we become aware of family histories through stories, traditions, habits or inheritance. Something tells us that we belong to a kin – whether that is a positive or a negative experience is another matter.

All these questions point to the underlying concern of model-based evidence: reliability. Just like an instrument is evaluated not only based on the successful measures it is capable of producing but also on the basis of the ‘instrument maker’, the reliability of model-based evidence depends on the credibility of the modeller as well as the validity of the data, model design and parameterisation (Boumans, 2004). This is what Boumans (2004) discusses as instrumental reliability in relation to the ‘instrument maker’.

He remains on a fairly general level in his use of an anthropological metaphor, and my interest is in using the metaphor in a more detailed manner, expanding it to depict how communication happens within family relations. The process by which a family tree of the Good-night kiss model emerges and what forms of relatedness can be identified through the kinship lineage of models give us an idea of the characteristics of modelbased outcomes and show us why modelling methods can be useful when disseminating evidence.

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