Dataset Information

Influenza B in a temperate region of northern India 2010-2016: co-circulation of the two lineages with northern hemispherical seasonality.

ABSTRACT: Scant data exist about the epidemiology of influenza B in India. We set out to address the epidemiology of influenza B in a temperate region of northern India from 2010 to 2016. Outpatient and inpatient surveillance was conducted in patients presenting with acute respiratory infection in a northern Indian hospital from September 2010 till April 2016. After recording clinical data, combined nasal/throat swabs were collected and tested for influenza viruses by real time RT-PCR. Influenza A viruses were further subtyped into A/H3N2 and A/H1N1 whereas influenza B were differentiated into B/Yamagata and B/Victoria. Virus isolation, haemaggglutination inhibition testing, sequencing and phylogenetic analysis was carried out on representative samples. Of the 6879 recruited cases, influenza B was detected in 299 (4.3%). The patients presented with respiratory symptoms of varying duration; cough, fever and nasal discharge being the most common. The peaking of the activity of the circulation showed a correlation with the onset of the winter with reduced temperatures and high dry humidity. B/Victoria lineage was detected in 35.4% (n?=?106/299) whereas 53.8% (n?=?161/299) were B/Yamagata. The circulation in each season was dominated by one lineage which correlated with the vaccine strain, but up to 37% consisted of a different lineage. We conclude that Influenza B exhibits a northern hemispherical seasonality in temperate northern India with co-circulation of the 2 lineages of influenza B. These findings have relevance for vaccine effectiveness and argue for vaccination with a quadrivalent influenza vaccine.

SUBMITTER: Koul PA

PROVIDER: S-EPMC6261902 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Influenza B in a temperate region of northern India 2010-2016: co-circulation of the two lineages with northern hemispherical seasonality.

Koul Parvaiz A PA Potdar Varsha V Showkat Masooma M Mir Hyder H Chadha M S MS

Virusdisease 20180926 4

Scant data exist about the epidemiology of influenza B in India. We set out to address the epidemiology of influenza B in a temperate region of northern India from 2010 to 2016. Outpatient and inpatient surveillance was conducted in patients presenting with acute respiratory infection in a northern Indian hospital from September 2010 till April 2016. After recording clinical data, combined nasal/throat swabs were collected and tested for influenza viruses by real time RT-PCR. Influenza A viruses ...[more]

PMID: 30539062

Similar Datasets

Project description:IntroductionWhile the beneficial effect of vaccination, restrictive measures, and social distancing in reducing mortality due to SARS-CoV-2 is intuitive and taken for granted, seasonality (predictable fluctuation or pattern that recurs or repeats over a one-year period) is still poorly understood and insufficiently taken into consideration. We aimed to examine SARS-CoV-2 seasonality in countries with temperate climate.MethodsWe identified countries with temperate climate and extracted average country temperature data from the National Center for Environmental information and from the Climate Change Knowledge Portal. We obtained mortality and vaccination rates from an open access database. We used the stringency index derived from the Oxford COVID-19 Government Response Tracker to quantify restriction policies. We used Spearman's and rank-correlation non-parametric test coefficients to investigate the association between COVID-19 mortality and temperature values. We employed multivariate regression models to analyze how containment measures, vaccinations, and monthly temperatures affected COVID-19 mortality rates.ResultsThe time series for daily deaths per million inhabitants and average monthly temperatures of European countries and US states with a temperate climate had a negative correlation (p < 0.0001 for all countries, 0.40 < R < 0.86). When running multivariate regression models with country fixed effects, we noted that mortality rates were significantly lower when temperature were higher. Interestingly, when adding an interaction term between monthly temperatures and vaccination rates, we found that as monthly temperatures dropped, the effect of the vaccination campaign on mortality was larger than at higher temperatures.DiscussionDeaths attributed to SARS-CoV-2 decreased during the summer period in temperate countries. We found that the effect of vaccination rates on mortality was stronger when temperatures were lower. Stakeholders should consider seasonality in managing SARS-CoV-2 and future pandemics to minimize mortality, limit the pressure on hospitals and intensive care units while maintaining economic and social activities.

Project description:Aim To establish the prevalence of prescriptions dispensed in early pregnancy by maternal age and area deprivation, for women who gave birth in Northern Ireland (NI) 2011–2016. Study design Population-based linked cohort study. Methods The NI Maternity System (NIMATS) database was used to identify all births to resident mothers in NI between 2011 and 2016. Prescriptions dispensed between the last menstrual period (LMP) and the first antenatal care visit (mean 10.7 weeks) (2010–2016) were extracted from the Enhanced Prescribing Database (EPD) which records all prescriptions dispensed by pharmacists in NI. EPD data were linked to NIMATS using the mother’s Health and Care Number. Maternal deprivation based on the NI Multiple Deprivation Measure 2017 was linked using the mother’s postcode. Results The cohort included 139,687 pregnancies resulting in live or stillbirths to 106,206 women. A medication was dispensed in 63.5% of pregnancies, and in 48.7% of pregnancies excluding supplements (vitamins, iron, and folic acid). Folic acid was the most commonly dispensed medication (33.1%). Excluding supplements, the mean number of medications was 1.1, with 4.2% having ≥5 medications. The most common non-supplement medications were antibiotics (13.1%), antiemetics (8.7%), analgesics (6.9%), hormonal medications (6.9%) and antidepressants (6.1%). Younger women (<20 years) had more antibiotics while older women (40+ years) had more antidepressants, cardiovascular, antihypertensives, anticoagulant medications and thyroxine. The proportion of women living in the most deprived areas with prescriptions for antidepressants, sedatives, tranquilisers, analgesics, and anti-epileptic medications was double the proportion of women with these medications in the least deprived areas. Conclusion Half of all pregnant women in NI were dispensed a non-supplement medication between LMP and the first antenatal care visit. Younger and older mothers and those living in the most deprived areas were more likely to have medications dispensed. More antidepressants were dispensed in areas of social deprivation.

Project description:ImportanceThe World Health Organization recommends that rates of cesarean delivery range from 10% to 15%. India has the largest annual number of births in the world and needs updates of existing estimates.ObjectiveTo provide a new set of estimates of the rates of cesarean delivery and to map regional and socioeconomic disparities within these rates in India.Design, setting, and participantsCross-sectional study primarily based on cross-sectional figures drawn from the fourth round of the National Family and Health Survey conducted from January 20, 2015, through December 4, 2016, by the Indian Institute for Population Sciences in Mumbai. The survey interviewed 699 686 girls and women aged 15 to 49 years and collected information on their last 3 pregnancies since January 2010 (259 627 births). The study population was statistically representative of India's 36 states and Union territories and its 640 districts. The survey also included information on the socioeconomic status of households. The research is based on data tabulations and mapping and on spatial and regression analyses of microdata. Socioeconomic inequalities in access to cesarean deliveries were assessed using the Gini coefficient. Data were analyzed from August to October 2018.Main outcomes and measuresRate of cesarean deliveries by regional and socioeconomic characteristics.ResultsThe cesarean birth rate computed for 699 686 Indian girls and women aged 15 to 49 years (mean [SD] age, 26.8 [5.0] years) was 17.2% (95% CI, 17.1%-17.3%) in 2010 to 2016, which corresponds to an estimated 4.38 million cesarean deliveries per year during the period (95% CI, 4.34-4.41 million) in India. Cesarean birth rates vary widely within the country, with a range of 5.8% (95% CI, 5.1%-6.5%) to 40.1% (95% CI, 38.4%-41.8%) across states and 4.4% (95% CI, 4.3%-4.6%) to 35.9% (35.4%-36.4%) across socioeconomic quintiles. The rate significantly increased from 9.2% (95% CI, 9.1%-9.3%) in 2004 to 2008. According to the recommended 10% to 15% benchmark of cesarean birth rates by the WHO, the estimated deficit of cesarean births in India is 0.5 million per year, whereas the estimated excess of cesarean births is 1.8 million. The overall Gini coefficient of inequality in access to cesarean deliveries is 46.4.Conclusions and relevanceThe rate of cesarean births is increasing in India and has already crossed the World Health Organization threshold of 15%. More research is needed to understand the factors behind the rapid rise of cesarean deliveries among affluent groups and in more developed regions.

Dataset Information

Influenza B in a temperate region of northern India 2010-2016: co-circulation of the two lineages with northern hemispherical seasonality.

Publications

Influenza B in a temperate region of northern India 2010-2016: co-circulation of the two lineages with northern hemispherical seasonality.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets