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Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016
BACKGROUND: Influenza A virus (IAV) remains an important global public health threat with limited epidemiological information available from low-and-middle-income countries. The major objective of this study was to describe the proportions, temporal and spatial distribution, and demographic and clin...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734537/ https://www.ncbi.nlm.nih.gov/pubmed/34991508 http://dx.doi.org/10.1186/s12879-021-07021-7 |
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author | Hasan, Saima Webby, Richard J. Iqbal, Muhammad Rashid, Hamad Bin Ahmad, Mansur-ud-Din Nazir, Jawad DeBeauchamp, Jennifer Sadiq, Shakera Chaudhry, Mamoona |
author_facet | Hasan, Saima Webby, Richard J. Iqbal, Muhammad Rashid, Hamad Bin Ahmad, Mansur-ud-Din Nazir, Jawad DeBeauchamp, Jennifer Sadiq, Shakera Chaudhry, Mamoona |
author_sort | Hasan, Saima |
collection | PubMed |
description | BACKGROUND: Influenza A virus (IAV) remains an important global public health threat with limited epidemiological information available from low-and-middle-income countries. The major objective of this study was to describe the proportions, temporal and spatial distribution, and demographic and clinical characteristics of IAV positive patients with influenza like illness (ILI) and severe acute respiratory illness (SARI) in Lahore, Pakistan. METHODS: Prospective surveillance was established in a sentinel hospital from October 2015 to May 2016. All eligible outpatients and inpatients with ILI or SARI were enrolled in the study. Nasal and/or throat swabs were collected along with clinico-epidemiological data. Samples were tested by real-time RT-PCR (rRT-PCR) to identify IAV and subtype. The descriptive analysis of data was done in R software. RESULTS: Out of 311 enrolled patients, 284 (91.3%) were ILI and 27 (8.7%) were SARI cases. A distinct peak of ILI and SARI activity was observed in February. Fifty individuals (16%) were positive for IAV with peak positivity observed in December. Of 50 IAV, 15 were seasonal H3N2, 14 were H1N1pdm09 and 21 were unable to be typed. The majority of IAV positive cases (98%) presented with current or history of fever, 88% reported cough and 82% reported sore throat. The most common comorbidities in IAV positive cases were hepatitis C (4%), obesity (4%) and tuberculosis (6%). The highest incidence of patients reporting to the hospital was seen three days post symptoms onset (66/311) with 14 of these (14/66) positive for IAV. CONCLUSION: Distinct trends of ILI, SARI and IAV positive cases were observed which can be used to inform public health interventions (vaccinations, hand and respiratory hygiene) at appropriate times among high-risk groups. We suggest sampling from both ILI and SARI patients in routine surveillance as recommended by WHO. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-07021-7. |
format | Online Article Text |
id | pubmed-8734537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87345372022-01-07 Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 Hasan, Saima Webby, Richard J. Iqbal, Muhammad Rashid, Hamad Bin Ahmad, Mansur-ud-Din Nazir, Jawad DeBeauchamp, Jennifer Sadiq, Shakera Chaudhry, Mamoona BMC Infect Dis Research BACKGROUND: Influenza A virus (IAV) remains an important global public health threat with limited epidemiological information available from low-and-middle-income countries. The major objective of this study was to describe the proportions, temporal and spatial distribution, and demographic and clinical characteristics of IAV positive patients with influenza like illness (ILI) and severe acute respiratory illness (SARI) in Lahore, Pakistan. METHODS: Prospective surveillance was established in a sentinel hospital from October 2015 to May 2016. All eligible outpatients and inpatients with ILI or SARI were enrolled in the study. Nasal and/or throat swabs were collected along with clinico-epidemiological data. Samples were tested by real-time RT-PCR (rRT-PCR) to identify IAV and subtype. The descriptive analysis of data was done in R software. RESULTS: Out of 311 enrolled patients, 284 (91.3%) were ILI and 27 (8.7%) were SARI cases. A distinct peak of ILI and SARI activity was observed in February. Fifty individuals (16%) were positive for IAV with peak positivity observed in December. Of 50 IAV, 15 were seasonal H3N2, 14 were H1N1pdm09 and 21 were unable to be typed. The majority of IAV positive cases (98%) presented with current or history of fever, 88% reported cough and 82% reported sore throat. The most common comorbidities in IAV positive cases were hepatitis C (4%), obesity (4%) and tuberculosis (6%). The highest incidence of patients reporting to the hospital was seen three days post symptoms onset (66/311) with 14 of these (14/66) positive for IAV. CONCLUSION: Distinct trends of ILI, SARI and IAV positive cases were observed which can be used to inform public health interventions (vaccinations, hand and respiratory hygiene) at appropriate times among high-risk groups. We suggest sampling from both ILI and SARI patients in routine surveillance as recommended by WHO. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-07021-7. BioMed Central 2022-01-06 /pmc/articles/PMC8734537/ /pubmed/34991508 http://dx.doi.org/10.1186/s12879-021-07021-7 Text en © The Author(s) 2022 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 Hasan, Saima Webby, Richard J. Iqbal, Muhammad Rashid, Hamad Bin Ahmad, Mansur-ud-Din Nazir, Jawad DeBeauchamp, Jennifer Sadiq, Shakera Chaudhry, Mamoona Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 |
title | Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 |
title_full | Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 |
title_fullStr | Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 |
title_full_unstemmed | Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 |
title_short | Sentinel surveillance for influenza A viruses in Lahore District Pakistan in flu season 2015–2016 |
title_sort | sentinel surveillance for influenza a viruses in lahore district pakistan in flu season 2015–2016 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734537/ https://www.ncbi.nlm.nih.gov/pubmed/34991508 http://dx.doi.org/10.1186/s12879-021-07021-7 |
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