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Abstract

This paper describes a new priority setting method for identifying critical information gaps in a multisector system. This method characterizes the information structure of the system using graph-theoretical concepts. Its applica­tion is illustrated in the context of malaria research in Tanzania. This illustration reveals two critical pathways, EVHA and EVHPA, which warrant better understanding. The first suggests that malaria research should generate information on the effects of environmental changes (E) on vector ecology (V) and then on the effects of V on human health (H) and then on the effects of H on agriculture (A). Interpreted likewise, the second pathway points to the additional need for information on the effects of socioeconomic conditions (P) on A.

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