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Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing

BACKGROUND: Influenza surveillance is an important tool to identify emerging/reemerging strains, and defining seasonality. We describe the distinct patterns of circulating strains of the virus in different areas in India from 2009 to 2013. METHODS: Patients in ten cities presenting with influenza li...

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Autores principales: Chadha, Mandeep S., Potdar, Varsha A., Saha, Siddhartha, Koul, Parvaiz A., Broor, Shobha, Dar, Lalit, Chawla-Sarkar, Mamta, Biswas, Dipankar, Gunasekaran, Palani, Abraham, Asha Mary, Shrikhande, Sunanda, Jain, Amita, Anukumar, Balakrishnan, Lal, Renu B., Mishra, Akhilesh C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418715/
https://www.ncbi.nlm.nih.gov/pubmed/25938466
http://dx.doi.org/10.1371/journal.pone.0124122
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author Chadha, Mandeep S.
Potdar, Varsha A.
Saha, Siddhartha
Koul, Parvaiz A.
Broor, Shobha
Dar, Lalit
Chawla-Sarkar, Mamta
Biswas, Dipankar
Gunasekaran, Palani
Abraham, Asha Mary
Shrikhande, Sunanda
Jain, Amita
Anukumar, Balakrishnan
Lal, Renu B.
Mishra, Akhilesh C.
author_facet Chadha, Mandeep S.
Potdar, Varsha A.
Saha, Siddhartha
Koul, Parvaiz A.
Broor, Shobha
Dar, Lalit
Chawla-Sarkar, Mamta
Biswas, Dipankar
Gunasekaran, Palani
Abraham, Asha Mary
Shrikhande, Sunanda
Jain, Amita
Anukumar, Balakrishnan
Lal, Renu B.
Mishra, Akhilesh C.
author_sort Chadha, Mandeep S.
collection PubMed
description BACKGROUND: Influenza surveillance is an important tool to identify emerging/reemerging strains, and defining seasonality. We describe the distinct patterns of circulating strains of the virus in different areas in India from 2009 to 2013. METHODS: Patients in ten cities presenting with influenza like illness in out-patient departments of dispensaries/hospitals and hospitalized patients with severe acute respiratory infections were enrolled. Nasopharangeal swabs were tested for influenza viruses by real-time RT-PCR, and subtyping; antigenic and genetic analysis were carried out using standard assays. RESULTS: Of the 44,127 ILI/SARI cases, 6,193 (14.0%) were positive for influenza virus. Peaks of influenza were observed during July-September coinciding with monsoon in cities Delhi and Lucknow (north), Pune (west), Allaphuza (southwest), Nagpur (central), Kolkata (east) and Dibrugarh (northeast), whereas Chennai and Vellore (southeast) revealed peaks in October-November, coinciding with the monsoon months in these cities. In Srinagar (Northern most city at 34°N latitude) influenza circulation peaked in January-March in winter months. The patterns of circulating strains varied over the years: whereas A/H1N1pdm09 and type B co-circulated in 2009 and 2010, H3N2 was the predominant circulating strain in 2011, followed by circulation of A/H1N1pdm09 and influenza B in 2012 and return of A/H3N2 in 2013. Antigenic analysis revealed that most circulating viruses were close to vaccine selected viral strains. CONCLUSIONS: Our data shows that India, though physically located in northern hemisphere, has distinct seasonality that might be related to latitude and environmental factors. While cities with temperate seasonality will benefit from vaccination in September-October, cities with peaks in the monsoon season in July-September will benefit from vaccination in April-May. Continued surveillance is critical to understand regional differences in influenza seasonality at regional and sub-regional level, especially in countries with large latitude span.
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spelling pubmed-44187152015-05-12 Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing Chadha, Mandeep S. Potdar, Varsha A. Saha, Siddhartha Koul, Parvaiz A. Broor, Shobha Dar, Lalit Chawla-Sarkar, Mamta Biswas, Dipankar Gunasekaran, Palani Abraham, Asha Mary Shrikhande, Sunanda Jain, Amita Anukumar, Balakrishnan Lal, Renu B. Mishra, Akhilesh C. PLoS One Research Article BACKGROUND: Influenza surveillance is an important tool to identify emerging/reemerging strains, and defining seasonality. We describe the distinct patterns of circulating strains of the virus in different areas in India from 2009 to 2013. METHODS: Patients in ten cities presenting with influenza like illness in out-patient departments of dispensaries/hospitals and hospitalized patients with severe acute respiratory infections were enrolled. Nasopharangeal swabs were tested for influenza viruses by real-time RT-PCR, and subtyping; antigenic and genetic analysis were carried out using standard assays. RESULTS: Of the 44,127 ILI/SARI cases, 6,193 (14.0%) were positive for influenza virus. Peaks of influenza were observed during July-September coinciding with monsoon in cities Delhi and Lucknow (north), Pune (west), Allaphuza (southwest), Nagpur (central), Kolkata (east) and Dibrugarh (northeast), whereas Chennai and Vellore (southeast) revealed peaks in October-November, coinciding with the monsoon months in these cities. In Srinagar (Northern most city at 34°N latitude) influenza circulation peaked in January-March in winter months. The patterns of circulating strains varied over the years: whereas A/H1N1pdm09 and type B co-circulated in 2009 and 2010, H3N2 was the predominant circulating strain in 2011, followed by circulation of A/H1N1pdm09 and influenza B in 2012 and return of A/H3N2 in 2013. Antigenic analysis revealed that most circulating viruses were close to vaccine selected viral strains. CONCLUSIONS: Our data shows that India, though physically located in northern hemisphere, has distinct seasonality that might be related to latitude and environmental factors. While cities with temperate seasonality will benefit from vaccination in September-October, cities with peaks in the monsoon season in July-September will benefit from vaccination in April-May. Continued surveillance is critical to understand regional differences in influenza seasonality at regional and sub-regional level, especially in countries with large latitude span. Public Library of Science 2015-05-04 /pmc/articles/PMC4418715/ /pubmed/25938466 http://dx.doi.org/10.1371/journal.pone.0124122 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Chadha, Mandeep S.
Potdar, Varsha A.
Saha, Siddhartha
Koul, Parvaiz A.
Broor, Shobha
Dar, Lalit
Chawla-Sarkar, Mamta
Biswas, Dipankar
Gunasekaran, Palani
Abraham, Asha Mary
Shrikhande, Sunanda
Jain, Amita
Anukumar, Balakrishnan
Lal, Renu B.
Mishra, Akhilesh C.
Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing
title Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing
title_full Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing
title_fullStr Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing
title_full_unstemmed Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing
title_short Dynamics of Influenza Seasonality at Sub-Regional Levels in India and Implications for Vaccination Timing
title_sort dynamics of influenza seasonality at sub-regional levels in india and implications for vaccination timing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418715/
https://www.ncbi.nlm.nih.gov/pubmed/25938466
http://dx.doi.org/10.1371/journal.pone.0124122
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