Socio-economic status as predictors of malaria transmission in KwaZulu-Natal, South Africa. A retrospective study.

Afr Health Sci

Biostatistics, Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Howard College Campus, Durban, 4041, South Africa.

Published: June 2022

AI Article Synopsis

Article Abstract

Background: Understanding the socioeconomic status that influences malaria transmission in KwaZulu-Natal, South Africa is vital in creating policies and strategies to combat malaria transmission, improve socioeconomic conditions and strengthen the malaria elimination campaign.

Objectives: To determine the relationship between socioeconomic status and malaria incidence in KwaZulu-Natal, South Africa.

Methods: Socioeconomic information (gender, age, no formal education, no electricity, no toilet facilities, unemployment) and malaria data for 2011 were obtained from Statistics South Africa and the malaria control program of KwaZulu-Natal, South Africa respectively. The analysis was conducted employing the Bayesian multiple regression model.

Results: The obtained posterior samples show that all the variables employed in this study were significant and positive predictors of malaria disease at 95% credible interval. The low socioeconomic status that exhibited the strongest association with malaria risk was lack of toilet facilities (odd ratio =12.39; 95% credible interval = 0.61, 24.36). This was followed by no formal education (odd ratio =11.11; 95% credible interval = 0.51, 24.10) and lack of electricity supply (odd ratio =8.94; 95% credible interval = 0.31, 23.21) respectively.

Conclusions: Low socioeconomic status potentially sustains malaria transmission and burden. As an implication, poverty alleviation and malaria intervention resources should be incorporated side by side into the socioeconomic framework to attain zero malaria transmission.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652696PMC
http://dx.doi.org/10.4314/ahs.v22i2.24DOI Listing

Publication Analysis

Top Keywords

malaria transmission
20
kwazulu-natal south
16
south africa
16
socioeconomic status
16
95% credible
16
credible interval
16
malaria
12
odd ratio
12
predictors malaria
8
transmission kwazulu-natal
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!