Spatial Analysis of Tuberculosis and Risk Factors at the Lowest Administrative Level in Nigeria

Olusoji J. Daniel; Olusola A. Adejumo; Adekunle D. Alabi; Janet O. Bamidele; Kolawole S. Oritogun

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Published: 2024-04-23

Keywords:

Tuberculosis, Socioeconomic Indices, Bayesian, Mapping

Olusoji J. Daniel

Department of Community Medicine and Primary Care, Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State; Department of Community Medicine and Primary Care, Faculty of Clinical Sciences, Olabisi OnabanjoUniversity Sagamu Campus, Ogun Stat

Olusola A. Adejumo

Dept. of Community Health, Lagos State University Teaching Hospital Ikeja, Lagos

Adekunle D. Alabi

Janet O. Bamidele

Department of Community Medicine and Primary Care, Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State.

Kolawole S. Oritogun

Department of Community Medicine and Primary Care, Faculty of Clinical Sciences, Olabisi OnabanjoUniversity Sagamu Campus, Ogun State

Abstract

BACKGROUND

Few studies have utilized modern techniques of spatial data analysis to understand the distribution of tuberculosis (TB) and its possible predictors. In 2013, an estimated 9 million new TB cases and 1.5 million deaths occurred worldwide, out of which 360,000 deaths were HIV related.

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Issue

Vol. 35 No. 1 (2022): The African Journal of Health Sciences

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Articles

How to Cite

Spatial Analysis of Tuberculosis and Risk Factors at the Lowest Administrative Level in Nigeria. (2024). African Journal of Health Sciences, 35(1), 70-82. https://ojs.ajhsjournal.or.ke/index.php/home/article/view/331

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