A method for cross-sector priority setting
Tóm tắt
This study proposes a new priority setting method for identifying critical information gaps in a multisector system. The method uses graph-theoretical concepts and principles of systems theory in characterizing the underlying information structure of the system. Its application is illustrated in the context of malaria control in Tanzania, drawing on the findings of a workshop held in October 2003 in Dar es Salaam. The workshop identified two critical pathways, EVHA and EVHPA, which warrant better understanding. The first suggests that the 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 additionally points to the need for information on the effects of socioeconomic conditions (P) on A.
Tài liệu tham khảo
Alston JM, Norton G, Pardey P (1995) Science under scarcity: principles and practice for agricultural research evaluation and priority setting. Ithaca: Cornell University Press
Arrow JK (1986) The value of and demand for information. In: McGuire CB, Radner R (eds), Decision and organization, 2nd edn. Minnesota: University of Minnesota Press
Clyde DF (1987) Recent trends in the epidemiology and control of malaria. Epidemiol Rev 9:21–243
Freeman LC (2000) Using available graph theoretic or molecular modeling programs in social network analysis (unpublished)
Gallup JL, Sachs JD (2001) The economic burden of malaria. Am J Trop Med Hyg 64:85–96
Hudson JA (1992) Rock engineering systems: theory and practice. London: Horwood
Janssen W (1995) Priority setting as a practical tool for research management. In: Bosch M, Preuss H-JA (eds) Management issues in national agricultural research systems: concepts, instruments, experiences. Hamburg: LIT
Krier JP, Baker JR (eds) (1980) Parasitic protozoa, vol 7, 2nd edn. New York, Academic
Murota K (1987) Systems analysis by graphs and matroids: structural solvability and controlability. Springer, Berlin Heidelberg New York
Panvisavas S (2001) Poverty and malaria: a study in a Thai-Myanmar border area. Southeast Asian J Trop Med Public Health 32:608–614
Saaty T, Vargas L (1994) Decision making in economic, political, social and technological environments with the AHP. Pittsburgh: University of Pittsburgh
Sachs J, Malaney P (2002) The economic and social burden of malaria. Nature 416:581
Sharma SK, Pradhan P, Padhi DM (2001) Socio-economic factors associated with malaria in a tribal area of Orissa. Indian J Public Health 45:93–98
Temel T (2003) Proceedings of workshop: Tanzania. A joint ISNAR-SIMA Report. The Hague, Netherlands: ISNAR
Temel T, Maru A (2004) A systems approach to malaria control: institutional perspective. Forthcoming in Health Policy
Temel T (2004) Malaria from the gap: need for cross-sectoral cooperation. Acta Tropica 89:249–259
Theodorakopoulou I, Kalaitzandonakes N (2001) Structure of public-private knowledge networks in plant biotechnology: an EU-US comparison. In: Wolf S, Zilberman D (eds) Knowledge generation and technical change: institutional innovation in agriculture. Boston: Kluwer
Wolf S, Zilberman D, Wu S, Just D (2001) Institutional relations in agricultural information systems. In: Wolf S, Zilberman D (eds) Knowledge generation and technical change: institutional innovation in agriculture. Boston: Kluwer