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Use of GIS to analyze the priority to far edge residents for presumptive treatment to control the spread of malaria
For View 2 it’s assumed that the death cases every month are random external inputs and they infect all the neighbours who have 20% chance of death if not given presumptive treatment and so on. It’s also assumed that presumtive treatment are given to 5 household a day with priority to people in far edges of highest order. The themes are:
- Houses with People affected by Plasmodium Falciparum (one theme every week)
- Houses with People given presumptive treatment with priority to far edge residents (one theme every week)
- Houses with People died after being affected by Plasmodium Falciparum (one theme every month)
For View 3 the assumption is same as view 2 excepting that people for presumptive treatment are chosen randomly. The themes are:
- Houses with People affected by Plasmodium Falciparum (one theme every week)
- Houses with People selected randomly for presumptive treatment (one theme every week)
- Houses with People died after being affected by Plasmodium Falciparum (one theme every month)
At the end of this paper, a View containing Plasmodium Vivax figure for the week 4th-11th April, 2003 has been attached.
Conclusion
By comparing the themes “People affected by Plasmodium Falciparum” for every week between the results in View2 and View3 it’s noted that the number of people affected will be much lesser if priority is given to the far edge residents for presumptive treatment.
At the same time it’s also noted that the rate of decrease is slower in View 3 which suggest that in case of availability of more resources for presumptive treatment and quarantine facility for population of this village, malaria would die out faster in case of random presumptive treatment than in case of far edge presumptive treatment, though the cumulative number of patients will be lesser in the later case.
- S. A. Pandit and R. E. Amritkar. Characterization and control of smallworld networks. Phys. Rev. E, 60:R1119{R1122, 1999.
- Longley P.A., Goodchild M.F., Maguire D.J. and Rhind D.W., Geographic Information Systems and Science , John Wiley $ Sons, Ltd., Chichester, United Kingdom, 2001.
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