Abstract
Many public health initiatives are concerned with making behavioural changes happen at a population level (e.g., community-wide initiatives to change sexual practices to reduce the threat of HIV infection, or physical activity and nutrition campaigns to reduce the number of people who are overweight). The need for a surveillance system to monitor and track changes at this level is clear. In this chapter I discuss how data analysis should contribute to such a system and help make it responsive to the needs of those who use behavioural surveillance data.
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Campostrini, S. (2003). Surveillance Systems and Data Analysis: Continuously Collected Behavioural Data. In: McQueen, D.V., Puska, P. (eds) Global Behavioral Risk Factor Surveillance. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0071-1_6
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DOI: https://doi.org/10.1007/978-1-4615-0071-1_6
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