Abstract
This article details a correction to the article: Ndukwe, Y.E., Obiezue, R.N.N., Aguzie, I.O.N., Anunobi, J.T. and Okafor, F.C., 2019. Mapping of Urinary Schistosomiasis in Anambra State, Nigeria. Annals of Global Health, 85(1), p. 52. DOI: http://doi.org/10.5334/aogh.2393
Corrigendum
It has come to the authors’ attention that there are three sections of Ndukwe et al. [1] that need to be corrected:
In the statistical analysis section, the sentence beginning ‘Mixed-effect logistic regression model…’ is corrected to:
Binary logistic regression model was used to estimate the odds of infection with Schistosoma haematobium in relation to demographic and water contact activities.
In the statistical analysis section, the sentence beginning ‘Univariate logistic regression was used…’ is corrected to:
Bivariate logistic regression was used to estimate the crude odd ratios of infection associated with twelve variables (see Supplementary File 2).
In the statistical analysis section, the sentence beginning ‘“Age group” and “occupation” played similar roles…’ is corrected to:
“Age group” and “occupation” played similar roles in the multivariate logistic regression model, which we understood to mean that the significant crude odds of infection in some age groups from our bivariate models may be due to occupation of people in those age groups.
Contributor Information
Rose N.N. Obiezue, Email: rose.obiezue@unn.edu.ng.
Ifeanyi Oscar N. Aguzie, Email: ifeanyi.aguzie@unn.edu.ng.
Competing Interests
The authors have no competing interests to declare.
References
- 1.Ndukwe YE, Obiezue RNN, Aguzie ION, Anunobi JT and Okafor FC. 2019. Mapping of Urinary Schistosomiasis in Anambra State, Nigeria. Annals of Global Health. 85(1): 52 DOI: 10.5334/aogh.2393 [DOI] [PMC free article] [PubMed] [Google Scholar]