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Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia
BACKGROUND: While southern Africa experiences among the highest mortality rates from respiratory infections, the burden of influenza and respiratory syncytial virus (RSV) in rural areas is poorly understood. METHODS: We implemented facility-based surveillance in Macha, Zambia. Outpatients and inpati...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453466/ https://www.ncbi.nlm.nih.gov/pubmed/34548020 http://dx.doi.org/10.1186/s12879-021-06677-5 |
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author | Loevinsohn, Gideon Hamahuwa, Mutinta Sinywimaanzi, Pamela Fenstermacher, Katherine Z. J. Shaw-Saliba, Kathryn Pekosz, Andrew Monze, Mwaka Rothman, Richard E. Simulundu, Edgar Thuma, Philip E. Sutcliffe, Catherine G. |
author_facet | Loevinsohn, Gideon Hamahuwa, Mutinta Sinywimaanzi, Pamela Fenstermacher, Katherine Z. J. Shaw-Saliba, Kathryn Pekosz, Andrew Monze, Mwaka Rothman, Richard E. Simulundu, Edgar Thuma, Philip E. Sutcliffe, Catherine G. |
author_sort | Loevinsohn, Gideon |
collection | PubMed |
description | BACKGROUND: While southern Africa experiences among the highest mortality rates from respiratory infections, the burden of influenza and respiratory syncytial virus (RSV) in rural areas is poorly understood. METHODS: We implemented facility-based surveillance in Macha, Zambia. Outpatients and inpatients presenting with influenza-like illness (ILI) underwent testing for influenza A, influenza B, and RSV and were prospectively followed for 3 to 5 weeks to assess clinical course. Log-binomial models assessed correlates of infection and clinical severity. RESULTS: Between December 2018 and December 2019, 17% of all outpatients presented with ILI and 16% of inpatients were admitted with an acute respiratory complaint. Influenza viruses and RSV were detected in 17% and 11% of outpatient participants with ILI, and 23% and 16% of inpatient participants with ILI, respectively. Influenza (July–September) and RSV (January-April) prevalence peaks were temporally distinct. RSV (relative risk [RR]: 1.78; 95% confidence interval [CI] 1.51–2.11), but not influenza, infection was associated with severe disease among patients with ILI. Underweight patients with ILI were more likely to be infected with influenza A (prevalence ratio [PR]: 1.72; 95% CI 1.04–2.87) and to have severe influenza A infections (RR: 2.49; 95% CI 1.57–3.93). CONCLUSIONS: Populations in rural Zambia bear a sizeable burden of viral respiratory infections and severe disease. The epidemiology of infections in this rural area differs from that reported from urban areas in Zambia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06677-5. |
format | Online Article Text |
id | pubmed-8453466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84534662021-09-21 Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia Loevinsohn, Gideon Hamahuwa, Mutinta Sinywimaanzi, Pamela Fenstermacher, Katherine Z. J. Shaw-Saliba, Kathryn Pekosz, Andrew Monze, Mwaka Rothman, Richard E. Simulundu, Edgar Thuma, Philip E. Sutcliffe, Catherine G. BMC Infect Dis Research BACKGROUND: While southern Africa experiences among the highest mortality rates from respiratory infections, the burden of influenza and respiratory syncytial virus (RSV) in rural areas is poorly understood. METHODS: We implemented facility-based surveillance in Macha, Zambia. Outpatients and inpatients presenting with influenza-like illness (ILI) underwent testing for influenza A, influenza B, and RSV and were prospectively followed for 3 to 5 weeks to assess clinical course. Log-binomial models assessed correlates of infection and clinical severity. RESULTS: Between December 2018 and December 2019, 17% of all outpatients presented with ILI and 16% of inpatients were admitted with an acute respiratory complaint. Influenza viruses and RSV were detected in 17% and 11% of outpatient participants with ILI, and 23% and 16% of inpatient participants with ILI, respectively. Influenza (July–September) and RSV (January-April) prevalence peaks were temporally distinct. RSV (relative risk [RR]: 1.78; 95% confidence interval [CI] 1.51–2.11), but not influenza, infection was associated with severe disease among patients with ILI. Underweight patients with ILI were more likely to be infected with influenza A (prevalence ratio [PR]: 1.72; 95% CI 1.04–2.87) and to have severe influenza A infections (RR: 2.49; 95% CI 1.57–3.93). CONCLUSIONS: Populations in rural Zambia bear a sizeable burden of viral respiratory infections and severe disease. The epidemiology of infections in this rural area differs from that reported from urban areas in Zambia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06677-5. BioMed Central 2021-09-21 /pmc/articles/PMC8453466/ /pubmed/34548020 http://dx.doi.org/10.1186/s12879-021-06677-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Loevinsohn, Gideon Hamahuwa, Mutinta Sinywimaanzi, Pamela Fenstermacher, Katherine Z. J. Shaw-Saliba, Kathryn Pekosz, Andrew Monze, Mwaka Rothman, Richard E. Simulundu, Edgar Thuma, Philip E. Sutcliffe, Catherine G. Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia |
title | Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia |
title_full | Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia |
title_fullStr | Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia |
title_full_unstemmed | Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia |
title_short | Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia |
title_sort | facility-based surveillance for influenza and respiratory syncytial virus in rural zambia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453466/ https://www.ncbi.nlm.nih.gov/pubmed/34548020 http://dx.doi.org/10.1186/s12879-021-06677-5 |
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