Version 1
: Received: 29 July 2019 / Approved: 30 July 2019 / Online: 30 July 2019 (14:40:53 CEST)
How to cite:
Adenomon, M.O.; Obazee, O.F.; Vance, E. Impact of Socio-Economic Factors and Indwelling Mosquito Control on Malaria Prevalence among Pregnant Women in Nigeria Using Logistic Regression Model. Preprints2019, 2019070341. https://doi.org/10.20944/preprints201907.0341.v1
Adenomon, M.O.; Obazee, O.F.; Vance, E. Impact of Socio-Economic Factors and Indwelling Mosquito Control on Malaria Prevalence among Pregnant Women in Nigeria Using Logistic Regression Model. Preprints 2019, 2019070341. https://doi.org/10.20944/preprints201907.0341.v1
Adenomon, M.O.; Obazee, O.F.; Vance, E. Impact of Socio-Economic Factors and Indwelling Mosquito Control on Malaria Prevalence among Pregnant Women in Nigeria Using Logistic Regression Model. Preprints2019, 2019070341. https://doi.org/10.20944/preprints201907.0341.v1
APA Style
Adenomon, M.O., Obazee, O.F., & Vance, E. (2019). Impact of Socio-Economic Factors and Indwelling Mosquito Control on Malaria Prevalence among Pregnant Women in Nigeria Using Logistic Regression Model. Preprints. https://doi.org/10.20944/preprints201907.0341.v1
Chicago/Turabian Style
Adenomon, M.O., Osazee Femi Obazee and Eric Vance. 2019 "Impact of Socio-Economic Factors and Indwelling Mosquito Control on Malaria Prevalence among Pregnant Women in Nigeria Using Logistic Regression Model" Preprints. https://doi.org/10.20944/preprints201907.0341.v1
Abstract
Malaria is endemic in Nigeria and remains a major public health problem, taking its greatest toll on children under age 5 and pregnant women, although it is preventable, treatable, and curable. This study investigates the Impact of socio-economic factors and indoor mosquito control on malaria prevalent among pregnant women in Nigeria using logistic regression. To achieve this, secondary data obtained from 2015 Nigeria Malaria Indicator survey, executed by the National Malaria Elimination Programme (NMEP) and the National Population Commission (NPopC), with a nationally representative sample of more than 8,000 consisting of 7,745 households. The results from the logistic regression with odds ratio revealed that pregnant women are more like to be affected by malaria fever (though not significant) compared to women that are not pregnant. The income levels of the household does not significant reduce the incidence of malaria fever among pregnant women in Niger. Concerning the malaria presenting measure, only dwelling sprayed by private company significantly reduce the incidence of malaria fever among pregnant women (P-value=0.020<0.05) compared to dwelling sprayed by government and NGOs and also to Insecticide Treated Net. Also pregnant women in the urban centers are less likely to have malaria fever compared to pregnant women in rural communities in Nigeria. Also, pregnant women with atleast a secondary school level of education are less likely to be affected by malaria fever compared to pregnant women with no formal education. The fitted logistic model passed the goodness-of-test fit; the classification test for the logistic model was correctly classified at about 67.02%. Therefore, this study recommends that government and NGOs should intensify their efforts in the area of dwelling spraying, awareness campaign of the danger of malaria fever among pregnant women and infants, engaged in effective distribution of insecticide treated net in order to reduce the incidence of malaria fever among pregnant women living in rural communities in Nigeria.
Keywords
malaria; indwelling malaria control; insecticide treated net (ITN); pregnancy; socio-economic; logistic regression; odds ratio
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
