Essays on Epidemiological Analysis in Malaria Program Implementation Case Study

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The paper 'Epidemiological Analysis in Malaria Program Implementation" is a good example of a medical science case study. Malaria kills over one million people globally each year, and other studies suggest the number to be 2.7 million people dying from the epidemic each year (WHO, 2008). From the WHO reports, approximately 90% of Malaria caused deaths globally in a year happen where malaria programs are inadequate. In this case, the establishment of programs is necessary to develop better approaches and contain the epidemic salvaging the situation from extremes and implementing future controls.

This paper looks into the use of epidemiological data on malaria to facilitate the evolution, definition and refinement of malaria programs. Identifying geographic risk factors related to malaria, understanding the spatial distribution of the disease as well as the populace at risk is the necessary steps toward facilitating programs for annual and effective malaria control. The current epidemiological data presented from research worldwide is of use in highlighting the respective issues of concern (Bautista, 2006; Hung et al, 2005; Ronald et al, 2006; John et al, 2006). The evolution of a malaria management program requires informed decision-making.

This can only happen by exploiting the available data on the disease from well-researched epidemiologic researches (Bautista, 2006; WHO, 2008). The 21st-century experiences many health needs yet with remarkably few resources in handling the Malaria epidemic. It is expedient that data on epidemiological research sources for malaria increase in number over the years, which are why in the past 10– 15 years there has been the considerable establishment of malaria programs globally (Hung et al, 2005; John et al, 2006; WHO, 2008). National policymakers globally always have a problem in knowing the right approaches to develop in facilitating the best program to enhance the success and facilitate a better intervention of controlling the epidemic.

With this in mind, it is apparent that the epidemiologic data from much researches done previously remains relevant for ministries of health and other partisan organizations in starting up malaria programs (Cohen et al, 2008).

References

Avellino, P. et al. (2008). “Genetic epidemiology of susceptibility to malaria: not only academic exercises” Malaria Journal 50(1-2):147-50

Bautista, C. (2006). Epidemiology and spatial analysis of malaria in the northern Peruvian Amazon. American Journal of Tropical Medicine and Hygiene, 75:216-222.

Cohen, M.J. et al. (2008). “Topography-derived wetness indices are associated with household-level malaria risk in two communities in the western Kenyan highlands” Malaria Journal 7:40

Daniel, H. (2008). “Quantitative urban classification for malaria epidemiology in sub-Saharan Africa” Malaria Journal, 7(1)34

Deressa, W. et al. (2006). “The distribution and magnitude of malaria in Oromo, Ethiopia” Ethiopia Journal of Health Development 18(3):164-170

Hung, L. et al (2005). Epidemiology of forest malaria in central Vietnam: a large scale cross-sectional survey. Malaria Journal 4:58.

John, C.C. et al. (2006). “Malaria hotspot areas in a highland Kenya site are consistent in epidemic and non-epidemic years and are associated with ecological factors” Malaria Journal 5:78

Keating, J. et al. (2005). “Self-reported malaria and mosquito avoidance in relation to household risk factors in a Kenyan coastal city” Journal of Bio-sociological Sciences 37:761–771

Moffett A. et al. (2007). “Malaria in Africa: Vector Species' Niche Models and Relative Risk Maps” PLoS ONE, 2(9):e824.

Negash, K. et al. (2005). “Malaria epidemics in the highlands of Ethiopia” East African Medical Journal 82:186-192

Ronald, L. et al. (2006). “Malaria and anemia among children in two communities of Kumasi, Ghana: a cross-sectional survey” Malaria Journal 5:105

Rosen, D. et al. (2008). “A census-weighted, spatially stratified household sampling strategy for urban malaria epidemiology” Malaria Journal 2008, 7(1)39

WHO (2008). “World Malaria Report 2008: A Billion-dollar Moment for Centuries Old Disease” from, http://docs.google.com/viewer?a=v&q=cache:GP- ItOTlfxMJ:indianpediatrics.net/dec2008/985.pdf

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