Analysis of Tuberculosis surveillance data in Oyo State, Nigeria, 2011-2014
Oyindamola Bidemi Yusuf, Junaidu Kabir, Calbeth Chika Odinaka Alaribe
The Pan African Medical Journal. 2018;30 (Supp 1):1. doi:10.11604/pamj.supp.2018.30.1.15273

Create an account  |  Sign in
AFRIKA KOMMT AFRIKA KOMMT
"Better health through knowledge sharing and information dissemination "

Supplement article

Case study

Analysis of Tuberculosis surveillance data in Oyo State, Nigeria, 2011-2014

Cite this: The Pan African Medical Journal. 2018;30 (Supp 1):1. doi:10.11604/pamj.supp.2018.30.1.15273

Received: 21/02/2018 - Accepted: 13/04/2018 - Published: 12/05/2018

Key words: Data analysis, tuberculosis, surveillance, Nigeria

© Oyindamola Bidemi Yusuf et al. The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Available online at: http://www.panafrican-med-journal.com/content/series/30/1/1/full

Corresponding author: Oyindamola Bidemi Yusuf, Department of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Nigeria (bidemiyusuf1@gmail.com)

This article is published as part of the supplement “African Case Studies for Public Health Volume 2” sponsored by African Field Epidemiology Network, (Case Study Design and Development, Rollins School of Public Health, Emory University

Guest editors: Scott JN McNabb, Ghada N Farhat, Casey Daniel Hall, Joseph Asamoah Frimpong, Richard Dicker


Analysis of tuberculosis surveillance data in Oyo State, Nigeria, 2011-2014

Oyindamola Bidemi Yusuf1,&, Junaidu Kabir2, Calbeth Chika Odinaka Alaribe3

 

1Department of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Nigeria, 2Department of Veterinary Public Health and Preventive Medicine, Ahmadu Bello University, Zaria, Nigeria, 3Rollins School of Public Health, Emory University, Atlanta, USA

 

 

&Corresponding author
Oyindamola Bidemi Yusuf, Department of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Nigeria

 

 

Abstract

The role of surveillance in tuberculosis (TB) management and control is imperative to the eradication of the disease. Training of TB focal persons, TB program officers and medical officers involved in data management will help to improve the quality of surveillance data. This case study was developed using data extracted from the Oyo state Integrated Disease Surveillance and Response (IDSR) database on TB from January 2011 to December 2014. The case study aims to evaluate surveillance data with the overall goal of improving data quality for TB control. The training will describe the requirements of routine surveillance as well as procedures for determining the burden of TB and the evaluation of some of the key indices for surveillance data quality. The participants must have prior knowledge of how to analyze and manage data and should be able to complete the exercises in approximately three hours.

 

 

How to use this case study    Down

General instructions: for the purpose of this case study one instructor per 10 participants will be required that will moderate the sessions involving 8-20 participants in a conference or similar room. Participants should sit facing each other while the instructors utilize approaches that provide an opportunity for all participants to contribute. The facilitator asks questions directed at named participants while answers follow discussions involving all or small groups of participants. Time is also given to participants to undertake calculations using laptop computers in generating answers.

 

Audience: medical officers, TB focal persons, and TB program officers working for government at the local, state and national level, private medical practitioners involved in Directly Observed Therapy (DOT) implementation.

 

Prerequisites: previous lectures on principles of surveillance and data analysis and prior training in basic epidemiology and basic knowledge of MS Excel.

 

Materials needed: flip charts, white board with markers, calculators, laptop computer with Microsoft Excel.

 

Level of training and associated public health activity: intermediate.

 

Time required: 3 hours.

 

Language: english.

 

 

Case study material Up    Down

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Acknowledgments Up    Down

We sincerely thank and appreciate the Director, Planning, Research and Statistics, Oyo State ministry of health, Dr. Abass Gbolahan and the TB focal person Mr. Johnson Afolabi for making the data available.

 

 

References Up    Down

  1. Oyo State Ministry of Health. Ministry of Health. 2013. Accessed 11th July, 2004.

  2. Nigeria Federal Ministry of Health. Integrated Disease Surveillance and Response Technical Guidelines. Nigeria Federal Ministry of Health. 2002. Google Scholar

  3. Nigeria Federal Ministry of Health. Integrated Disease Surveillance and Response Technical Guidelines. Nigeria Federal Ministry of Health. March 201. Google Scholar

  4. Federal Republic of Nigeria. Report of First National TB Prevalence Survey. Federal Republic of Nigeria. 2012. Google Scholar

  5. WHO. Global Tuberculosis Report. WHO. 2013. Google Scholar

  6. WHO. Global Tuberculosis Control. WHO. 2011. Google Scholar

  7. WHO. Global Tuberculosis Report. WHO. 2012. Google Scholar

  8. WHO. Global Tuberculosis Report. WHO. 2014. Google Scholar

  9. CDC. Updated Guidelines for Evaluating Public Health Surveillance Systems. July 27, 2001 / 50(RR13);1-35 Accessed September 2004.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


The Pan African Medical Journal articles are archived on Pubmed Central. Access PAMJ archives on PMC here

Current:

Volume 31 (September - December 2018)

Article tools

PDF in process
Log in to comment
Contact the corresponding author
Download to Citation Manager
EndNote
Reference Manager
Zotero
BibTex
ProCite



Rate this article

Altmetric

PAMJ is a member of the Committee on Publication Ethics

PAMJ is published in collaboration with the African Field Epidemiology Network (AFENET)
Currently tracked by: DOAJ, AIM, Google Scholar, AJOL, EBSCO, Scopus, Embase, IC, HINARI, Global Health, PubMed Central, PubMed/Medline, Ulrichsweb, More to come . Member of COPE.

ISSN: 1937-8688. © 2018 - Pan African Medical Journal. All rights reserved