• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Asian Journal of Epidemiology
  2. Vol 10 (1), 2017
  3. 32-36
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Asian Journal of Epidemiology

Year: 2017 | Volume: 10 | Issue: 1 | Page No.: 32-36
DOI: 10.3923/aje.2017.32.36

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 156

Authors


Noer Bahry Noor

Country: Indonesia

A.A. Arsunan

Country: Indonesia

Ni Made Rai Marleni

Country: Indonesia

Anwar  Mallongi

Anwar Mallongi

LiveDNA: 62.16355

Keywords


  • joint pain
  • diarrhea
  • microscopic test
  • clinical symptoms
  • malaria diagnosis
  • Algorithm
Research Article

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 Anwar  Mallongi's LiveDNA
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.
PDF Fulltext XML References Citation

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

Related Articles

Household-based Antenatal Care Monitoring Model (An Intervention Study in the Coastal Area of Palu City)

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved