
	Asian Journal of Epidemiology
	Year: 2017 \| Volume: 10 \| Issue: 1 \| Page No.: 32-36 DOI: 10.3923/aje.2017.32.36

Algorithm Malaria Diagnosis as a Result of the Comparison Between Clinical Symptoms and Microscopy Test in the Population Central Sulawesi Province

Noer Bahry Noor, A.A. Arsunan, Ni Made Rai Marleni and Anwar Mallongi

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.

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How to cite this article:

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.

DOI: 10.3923/aje.2017.32.36

URL: https://scialert.net/abstract/?doi=aje.2017.32.36

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