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Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol
INTRODUCTION: Better characterisation of the epidemiological data on respiratory viral infections among people with acute respiratory tract infection (ARTI) can help to implement efficient strategies to curb the burden of ARTI in Africa. We will conduct a systematic review and meta-analysis to deter...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528219/ https://www.ncbi.nlm.nih.gov/pubmed/31109367 http://dx.doi.org/10.1186/s13643-019-1037-1 |
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author | Kenmoe, Sebastien Bigna, Jean Joel Modiyinji, Abdou Fatawou Simo, Fredy Brice N. Njouom, Richard |
author_facet | Kenmoe, Sebastien Bigna, Jean Joel Modiyinji, Abdou Fatawou Simo, Fredy Brice N. Njouom, Richard |
author_sort | Kenmoe, Sebastien |
collection | PubMed |
description | INTRODUCTION: Better characterisation of the epidemiological data on respiratory viral infections among people with acute respiratory tract infection (ARTI) can help to implement efficient strategies to curb the burden of ARTI in Africa. We will conduct a systematic review and meta-analysis to determine the prevalence and factors associated with respiratory viral infection in people of all ages with ARTI residing in Africa. METHODS: This work will include cross-sectional studies published between January 1, 2000 and December 31, 2017, without any language restriction, on populations residing in African countries. We will consider studies that reported the prevalence of respiratory viruses in people with ARTI confirmed by a polymerase chain reaction technique. We will be searching PubMed, Embase, African Journals Online, Web of Science, and Global Index Medicus. The selection of relevant studies, extraction of data, and evaluation of the quality of the articles will be carried out independently by two review authors, and the discrepancies will be resolved by consensus or intervention of a third author. The heterogeneity of the studies will be assessed using the χ(2) test on Cochrane’s Q statistic. Publication bias will be assessed by the Egger test. Studies will be pooled using a random-effect meta-analysis model. Results will be presented by age group and sub-region of Africa. Using meta-regression models, we will identify factors associated with viral infections in people with ARTI. DISCUSSION: This systematic review and meta-analysis is based on published data and therefore does not require ethical approval. This work will serve as a basis for the development of strategies for prevention and control ARTI in Africa and will also serve to identify data gaps and guide future investigations. The final report will be published in peer-reviewed journals as a scientific article and presented in workshops, conferences, and scientific conferences. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42018088261. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-019-1037-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6528219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65282192019-05-28 Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol Kenmoe, Sebastien Bigna, Jean Joel Modiyinji, Abdou Fatawou Simo, Fredy Brice N. Njouom, Richard Syst Rev Protocol INTRODUCTION: Better characterisation of the epidemiological data on respiratory viral infections among people with acute respiratory tract infection (ARTI) can help to implement efficient strategies to curb the burden of ARTI in Africa. We will conduct a systematic review and meta-analysis to determine the prevalence and factors associated with respiratory viral infection in people of all ages with ARTI residing in Africa. METHODS: This work will include cross-sectional studies published between January 1, 2000 and December 31, 2017, without any language restriction, on populations residing in African countries. We will consider studies that reported the prevalence of respiratory viruses in people with ARTI confirmed by a polymerase chain reaction technique. We will be searching PubMed, Embase, African Journals Online, Web of Science, and Global Index Medicus. The selection of relevant studies, extraction of data, and evaluation of the quality of the articles will be carried out independently by two review authors, and the discrepancies will be resolved by consensus or intervention of a third author. The heterogeneity of the studies will be assessed using the χ(2) test on Cochrane’s Q statistic. Publication bias will be assessed by the Egger test. Studies will be pooled using a random-effect meta-analysis model. Results will be presented by age group and sub-region of Africa. Using meta-regression models, we will identify factors associated with viral infections in people with ARTI. DISCUSSION: This systematic review and meta-analysis is based on published data and therefore does not require ethical approval. This work will serve as a basis for the development of strategies for prevention and control ARTI in Africa and will also serve to identify data gaps and guide future investigations. The final report will be published in peer-reviewed journals as a scientific article and presented in workshops, conferences, and scientific conferences. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42018088261. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-019-1037-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-20 /pmc/articles/PMC6528219/ /pubmed/31109367 http://dx.doi.org/10.1186/s13643-019-1037-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Protocol Kenmoe, Sebastien Bigna, Jean Joel Modiyinji, Abdou Fatawou Simo, Fredy Brice N. Njouom, Richard Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol |
title | Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol |
title_full | Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol |
title_fullStr | Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol |
title_full_unstemmed | Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol |
title_short | Epidemiology of respiratory viral infections in people with acute respiratory tract infections in Africa: the VARIAFRICA systematic review and meta-analysis protocol |
title_sort | epidemiology of respiratory viral infections in people with acute respiratory tract infections in africa: the variafrica systematic review and meta-analysis protocol |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528219/ https://www.ncbi.nlm.nih.gov/pubmed/31109367 http://dx.doi.org/10.1186/s13643-019-1037-1 |
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