Display options
Cite
Paintsil EK, Omari-Sasu AY, Addo MG, et al. Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana. Malar Res Treat. 2019;2019:1486370doi: 10.1155/2019/1486370.
Paintsil, E. K., Omari-Sasu, A. Y., Addo, M. G., & Boateng, M. A. (2019). Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana. Malaria research and treatment, 20191486370. https://doi.org/10.1155/2019/1486370
Paintsil, Ellis Kobina, et al. "Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana." Malaria research and treatment vol. 2019 (2019): 1486370. doi: https://doi.org/10.1155/2019/1486370
Paintsil EK, Omari-Sasu AY, Addo MG, Boateng MA. Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana. Malar Res Treat. 2019 May 21;2019:1486370. doi: 10.1155/2019/1486370. eCollection 2019. PMID: 31263541; PMCID: PMC6556344.
Copy Download .nbib Format: NLM
Share it on

Malar Res Treat. 2019 May 21;2019:1486370. doi: 10.1155/2019/1486370. eCollection 2019.

Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana.

Malaria research and treatment

Ellis Kobina Paintsil, Akoto Yaw Omari-Sasu, Matthew Glover Addo, Maxwell Akwasi Boateng

Affiliations

  1. Kumasi Centre for Collaborative Research in Tropical Medicine, KNUST, Kumasi, Ghana.
  2. Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  3. Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  4. Faculty of Engineering, Ghana Technology University College, Ghana.

PMID: 31263541 PMCID: PMC6556344 DOI: 10.1155/2019/1486370

Abstract

Malaria is the leading cause of morbidity in Ghana representing 40-60% of outpatient hospital attendance with about 10% ending up on admission. Microscopic examination of peripheral blood film remains the most preferred and reliable method for malaria diagnosis worldwide. But the level of skills required for microscopic examination of peripheral blood film is often lacking in Ghana. This study looked at determining the extent to which haematological parameters and demographic characteristics of patients could be used to predict malaria infection using logistic regression. The overall prevalence of malaria in the study area was determined to be 25.96%; nonetheless, 45.30% of children between the ages of 5 and 14 tested positive. The binary logistic model developed for this study identified age, haemoglobin, platelet, and lymphocyte as the most significant predictors. The sensitivity and specificity of the model were 77.4% and 75.7%, respectively, with a PPV and NPV of 52.72% and 90.51%, respectively. Similar to RDT this logistic model when used will reduce the waiting time and improve the diagnosis of malaria.

References

  1. Trop Med Int Health. 2001 Dec;6(12):986-91 - PubMed
  2. Nature. 2002 Feb 7;415(6872):680-5 - PubMed
  3. Malar J. 2008 Feb 18;7:33 - PubMed
  4. Diagn Microbiol Infect Dis. 2009 May;64(1):20-6 - PubMed
  5. Malar J. 2010 Dec 13;9 Suppl 3:S4 - PubMed
  6. Malar Res Treat. 2012;2012:405981 - PubMed
  7. BMJ. 2012 Jul 24;345:e4389 - PubMed
  8. Glob J Health Sci. 2012 Jun 15;4(4):139-48 - PubMed
  9. Malar Res Treat. 2013;2013:308069 - PubMed
  10. Mem Inst Oswaldo Cruz. 2014 Aug;109(5):569-76 - PubMed
  11. Trop Med Int Health. 2014 Nov;19(11):1294-309 - PubMed
  12. Sci Rep. 2015 Nov 12;5:16656 - PubMed
  13. Malar J. 2016 Jul 15;15:363 - PubMed
  14. Malar J. 2016 Sep 06;15:454 - PubMed
  15. Malar J. 2017 May 6;16(1):189 - PubMed
  16. Trop Med Health. 2017 Oct 23;45:25 - PubMed
  17. Malar J. 2018 Jun 8;17(1):228 - PubMed
  18. Res Rep Trop Med. 2018 Jun 20;9:95-101 - PubMed
  19. Malar J. 2018 Aug 13;17(1):292 - PubMed
  20. Malar J. 2019 Feb 21;18(1):46 - PubMed

Publication Types