Determine Significant Factors Related to Malaria among Pregnant Women in Nigeria by Logistic Regression Analysis

Journal Title: Annals of Biostatistics & Biometric Applications (ABBA) - Year 2019, Vol 1, Issue 4

Abstract

Objectives: Malaria during antenatal period was a major health problem that lead to both mother and child death. The aim of this study is to assess the predictors of malaria during pregnancy among six states of Nigeria based on anti-malarial pill prescribed to pregnant women by the health facility. Methods: The analysis involves chi-square test for independent association between the predictors and risk of malaria diagnosis among the qualitative variables, Mann Whitney u test for quantitative variables and binary logistic regression for the multivariate analysis. Results: The analysis shows that the risk of malaria during pregnancy was significantly associated with Age, IPTp-up take, ITN use, source of energy for lightening, main material use for room’s rooftop and livestock keeping. This shows that, appropriate use of insecticide treated bed nets, optimal IPTp uptake against malaria and other protective measures, teamed with some elements such as sources of energy for lightening and main material for room’s rooftop decreased the incidence of malaria infectious disease among antenatal women. Conclusion: The research suggested that the illiterates and poor women are less probable of using these preventive measures in other to reduce the spread of malaria disease among pregnant women and entire population as whole.

Authors and Affiliations

Keywords

Related Articles

Determine Significant Factors Related to Malaria among Pregnant Women in Nigeria by Logistic Regression Analysis

Objectives: Malaria during antenatal period was a major health problem that lead to both mother and child death. The aim of this study is to assess the predictors of malaria during pregnancy among six states of Nigeria b...

Digital Signal Processing for Analytics in Biostatistics & Biometric Applications

All the biostatistics and biometric applications suffer from the effects of added noise due to their data dependency. The quality of data and impurities due to noise could affect the decisions made based on these dataset...

Postural and Muscular Activity Changes in Camptocormia Patients as a Result of Rehabilitation Treatment with the TPAD Brace

Camptocormia is a postural disease that affects the elderly population and is characterized by the anteflexion of the trunk. Orthopedic medical devices, such as the Thoracic Pelvic Anterior Distractor brace, are used in...

Optimal Designs for M-Allel Crosses in One and Two-Way Setting

Recently authors [1] constructed optimal Block and Row-Column designs for complete diallel cross (CDC) methods by using nested balanced incomplete block designs.In this article we are presenting methodof constructionof t...

Biology: In the Language of the People

As technology and the ability to gather ever-growing amounts of data move further into the realms of biology and human performance, communication and transparency become increasingly important. As scientists, engineers,...

Download PDF file
  • EP ID EP620022
  • DOI 10.33552/ABBA.2019.01.000517
  • Views 62
  • Downloads 0

How To Cite

(2019). Determine Significant Factors Related to Malaria among Pregnant Women in Nigeria by Logistic Regression Analysis. Annals of Biostatistics & Biometric Applications (ABBA), 1(4), 1-7. https://europub.co.uk/articles/-A-620022