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
National Institute of Virology, Pune, India.
Centers for Disease Control and Prevention, Atlanta, USA.
PLoS One. 2015 May 4;10(5):e0124122. doi: 10.1371/journal.pone.0124122. eCollection 2015.
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.
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.
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.
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.
流感监测是识别新出现/再次出现的毒株以及确定季节性的重要工具。我们描述了2009年至2013年印度不同地区该病毒流行毒株的不同模式。
纳入在药房/医院门诊部出现流感样疾病的10个城市的患者以及患有严重急性呼吸道感染的住院患者。通过实时逆转录聚合酶链反应对鼻咽拭子进行流感病毒检测及亚型分型;使用标准检测方法进行抗原和基因分析。
在44127例流感样疾病/严重急性呼吸道感染病例中,6193例(14.0%)流感病毒检测呈阳性。在德里和勒克瑙(北部)、浦那(西部)、阿拉普扎(西南部)、那格浦尔(中部)、加尔各答(东部)和迪布鲁格尔(东北部)等城市,流感高峰出现在7月至9月,与季风期重合,而钦奈和韦洛尔(东南部)的高峰出现在10月至11月,与这些城市的季风月份重合。在斯利那加(北纬34°最北部的城市),流感流行高峰出现在冬季的1月至3月。多年来流行毒株的模式有所不同:2009年和2010年甲型H1N1pdm09和乙型流感病毒共同流行,2011年H3N2是主要流行毒株,2012年甲型H1N1pdm09和乙型流感病毒再次流行,2013年H3N2毒株再次出现。抗原分析显示,大多数流行病毒与疫苗选用的病毒株相近。
我们的数据表明,印度虽然位于北半球,但具有独特的季节性,这可能与纬度和环境因素有关。虽然具有温带季节性的城市将从9月至10月接种疫苗中受益,但7月至9月季风季节出现高峰的城市将从4月至5月接种疫苗中受益。持续监测对于了解区域和次区域层面流感季节性的地区差异至关重要,尤其是在纬度跨度大的国家。