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Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
Analysis of existing health data is often used as a cost-effective and time-efficient means to provide evidence to inform important public health decisions. However, the accuracy of the resultant decisions largely depends on the quality of the accessible data, and how the data are processed, analyze...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379546/ https://www.ncbi.nlm.nih.gov/pubmed/30858920 http://dx.doi.org/10.11604/pamj.supp.2018.30.1.15272 |
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author | Kuonza, Lazarus Rugare Nakale, Tuyakula Sitao, Sinesia Lucinda Jose Hall, Casey Daniel |
author_facet | Kuonza, Lazarus Rugare Nakale, Tuyakula Sitao, Sinesia Lucinda Jose Hall, Casey Daniel |
author_sort | Kuonza, Lazarus Rugare |
collection | PubMed |
description | Analysis of existing health data is often used as a cost-effective and time-efficient means to provide evidence to inform important public health decisions. However, the accuracy of the resultant decisions largely depends on the quality of the accessible data, and how the data are processed, analyzed, interpreted and reported. This case study, based on an actual secondary data analysis that was conducted by a trainee of the South African Field Epidemiology Training Programme during April 2017, was designed to provide a classroom simulation of practical considerations that should be taken into account when planning an analysis of a secondary dataset. The case study is ideally suited to reinforce principles already covered in lectures or in background reading assignments. |
format | Online Article Text |
id | pubmed-6379546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-63795462019-03-11 Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 Kuonza, Lazarus Rugare Nakale, Tuyakula Sitao, Sinesia Lucinda Jose Hall, Casey Daniel Pan Afr Med J Case Study Analysis of existing health data is often used as a cost-effective and time-efficient means to provide evidence to inform important public health decisions. However, the accuracy of the resultant decisions largely depends on the quality of the accessible data, and how the data are processed, analyzed, interpreted and reported. This case study, based on an actual secondary data analysis that was conducted by a trainee of the South African Field Epidemiology Training Programme during April 2017, was designed to provide a classroom simulation of practical considerations that should be taken into account when planning an analysis of a secondary dataset. The case study is ideally suited to reinforce principles already covered in lectures or in background reading assignments. The African Field Epidemiology Network 2018-05-18 /pmc/articles/PMC6379546/ /pubmed/30858920 http://dx.doi.org/10.11604/pamj.supp.2018.30.1.15272 Text en © Lazarus Rugare Kuonza et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Case Study Kuonza, Lazarus Rugare Nakale, Tuyakula Sitao, Sinesia Lucinda Jose Hall, Casey Daniel Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 |
title | Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 |
title_full | Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 |
title_fullStr | Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 |
title_full_unstemmed | Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 |
title_short | Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 |
title_sort | conducting a secondary data analysis to estimate the incidence of congenital syphilis in south africa, 2010 - 2016 |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379546/ https://www.ncbi.nlm.nih.gov/pubmed/30858920 http://dx.doi.org/10.11604/pamj.supp.2018.30.1.15272 |
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