Abstract: Background and Objective: Malaria is a contagious disease that is still a public health problem in the world, including in Indonesia. The aims of the study was make algorithm of malaria diagnosis as a result of the comparison between clinical symptoms and microscopic test. Methodology: The study was observational with cross sectional study. The population is the whole population in Tinombo Puskesmas. The sample is suspected malaria March-April 2016. A sample of 142 people were examined clinically and microscopically. Test used chi square and logistic regression. Results: The results showed that the variable clinical symptoms associated with the microscopic examination is fever (p = 0.001), chills (p = 0.000) and joint pain (p = 0.005). Multivariate logistic regression test with in getting the symptoms of chills, diarrhea and joint pain as an algorithm with sensitivity (74.28%) and specificity (85.98%). Conclusion: Algorithm of Malaria is an alternative in early diagnosis for endemic areas who have limited facilities of microscopic laboratory examination.
Noer Bahry Noor, A.A. Arsunan, Ni Made Rai Marleni and Anwar Mallongi, 2017. Algorithm Malaria Diagnosis as a Result of the Comparison Between Clinical Symptoms and Microscopy Test in the Population Central Sulawesi Province. Asian Journal of Epidemiology, 10: 32-36.
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