Examining the entire delayed respiratory syncytial virus season in Western Australia

2021 ◽  
pp. archdischild-2021-323375
Author(s):  
David Anthony Foley ◽  
Linny Kimly Phuong ◽  
Joseph Peplinski ◽  
Selina Mei Jy Lim ◽  
Wei Hao Lee ◽  
...  
Keyword(s):  
Respiratory Syncytial Virus ◽  
Western Australia ◽  
Respiratory Syncytial Virus Season ◽  
Syncytial Virus

First-time wheezing in infants during respiratory syncytial virus season: Chest radiograph findings

2002 ◽  
Vol 18 (5) ◽  
pp. 333-336 ◽  
Author(s):  
MIRNA M. FARAH ◽  
LISA B. PADGETT ◽  
DAVID J. McLARIO ◽  
KEVIN M. SULLIVAN ◽  
HAROLD K. SIMON
Keyword(s):  
Respiratory Syncytial Virus ◽  
Chest Radiograph ◽  
Respiratory Syncytial Virus Season ◽  
Syncytial Virus ◽  
First Time

scholarly journals Examining the interseasonal resurgence of respiratory syncytial virus in Western Australia

2021 ◽  
pp. archdischild-2021-322507
Author(s):  
David Anthony Foley ◽  
Linny Kimly Phuong ◽  
Joseph Peplinski ◽  
Selina Mei Lim ◽  
Wei Hao Lee ◽  
...  
Keyword(s):  
Public Health ◽  
Respiratory Syncytial Virus ◽  
Western Australia ◽  
Laboratory Data ◽  
Winter Season ◽  
International Classification Of Diseases ◽  
Early Summer ◽  
Acute Lower Respiratory Infection ◽  
Health Measures ◽  
Syncytial Virus

BackgroundFollowing a relative absence in winter 2020, a large resurgence of respiratory syncytial virus (RSV) detections occurred during the 2020/2021 summer in Western Australia. This seasonal shift was linked to SARS-CoV-2 public health measures. We examine the epidemiology and RSV testing of respiratory-coded admissions, and compare clinical phenotype of RSV-positive admissions between 2019 and 2020.MethodAt a single tertiary paediatric centre, International Classification of Diseases, 10th edition Australian Modification-coded respiratory admissions longer than 12 hours were combined with laboratory data from 1 January 2019 to 31 December 2020. Data were grouped into bronchiolitis, other acute lower respiratory infection (OALRI) and wheeze, to assess RSV testing practices. For RSV-positive admissions, demographics and clinical features were compared between 2019 and 2020.ResultsRSV-positive admissions peaked in early summer 2020, following an absent winter season. Testing was higher in 2020: bronchiolitis, 94.8% vs 89.2% (p=0.01); OALRI, 88.6% vs 82.6% (p=0.02); and wheeze, 62.8% vs 25.5% (p<0.001). The 2020 peak month, December, contributed almost 75% of RSV-positive admissions, 2.5 times the 2019 peak. The median age in 2020 was twice that observed in 2019 (16.4 vs 8.1 months, p<0.001). The proportion of RSV-positive OALRI admissions was greater in 2020 (32.6% vs 24.9%, p=0.01). There were no clinically meaningful differences in length of stay or disease severity.InterpretationThe 2020 RSV season was in summer, with a larger than expected peak. There was an increase in RSV-positive non-bronchiolitis admissions, consistent with infection in older RSV-naïve children. This resurgence raises concern for regions experiencing longer and more stringent SARS-CoV-2 public health measures.

scholarly journals Global Seasonality of Human Seasonal Coronaviruses: A Clue for Postpandemic Circulating Season of Severe Acute Respiratory Syndrome Coronavirus 2?

2020 ◽  
Vol 222 (7) ◽  
pp. 1090-1097 ◽  
Author(s):  
You Li ◽  
Xin Wang ◽  
Harish Nair
Keyword(s):  
Systematic Review ◽  
Influenza Virus ◽  
Respiratory Syncytial Virus ◽  
Severe Acute Respiratory Syndrome ◽  
Influenza Season ◽  
Global Scale ◽  
Weather Data ◽  
Site Specific ◽  
Respiratory Syncytial Virus Season ◽  
Syncytial Virus

Abstract Background The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could recur as seasonal outbreaks, a circulating pattern observed among other preexisting human seasonal coronaviruses (sCoVs). However, little is known about seasonality of sCoVs on a global scale. Methods We conducted a systematic review of data on seasonality of sCoVs. We compared seasonality of sCoVs with influenza virus and respiratory syncytial virus. We modeled monthly activity of sCoVs using site-specific weather data. Results We included sCoV seasonality data in 40 sites from 21 countries. sCoVs were prevalent in winter months in most temperate sites except for China, whereas sCoVs tended to be less seasonal in China and in tropical sites. In temperate sites excluding China, 53.1% of annual sCoV cases (interquartile range [IQR], 34.6%–61.9%) occurred during influenza season and 49.6% (IQR, 30.2%–60.2%) of sCoV cases occurred during respiratory syncytial virus season. Low temperature combined with high relative humidity was associated with higher sCoV activity. Conclusions This is the first study that provides an overview of the global seasonality of sCoVs. Our findings offer clues to the possible postpandemic circulating season of SARS-CoV-2 and add to the knowledge pool necessary for postpandemic preparedness for SARS-CoV-2.

scholarly journals Risk of childhood asthma following infant bronchiolitis during the respiratory syncytial virus season

2013 ◽  
Vol 132 (1) ◽  
pp. 227-229 ◽  
Author(s):  
Kristina M. James ◽  
Tebeb Gebretsadik ◽  
Gabriel J. Escobar ◽  
Pingsheng Wu ◽  
Kecia N. Carroll ◽  
...  
Keyword(s):  
Respiratory Syncytial Virus ◽  
Childhood Asthma ◽  
Respiratory Syncytial Virus Season ◽  
Syncytial Virus

scholarly journals Developing a prediction model to estimate the true burden of respiratory syncytial virus (RSV) in hospitalised children in Western Australia

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Amanuel Tesfay Gebremedhin ◽  
Alexandra B. Hogan ◽  
Christopher C. Blyth ◽  
Kathryn Glass ◽  
Hannah C. Moore
Keyword(s):  
Respiratory Syncytial Virus ◽  
Western Australia ◽  
Predictive Accuracy ◽  
Predictive Performance ◽  
Population Based ◽  
Incidence Rates ◽  
Predictive Values ◽  
Childhood Morbidity ◽  
Syncytial Virus ◽  
Sensitivity Specificity

AbstractRespiratory syncytial virus (RSV) is a leading cause of childhood morbidity, however there is no systematic testing in children hospitalised with respiratory symptoms. Therefore, current RSV incidence likely underestimates the true burden. We used probabilistically linked perinatal, hospital, and laboratory records of 321,825 children born in Western Australia (WA), 2000–2012. We generated a predictive model for RSV positivity in hospitalised children aged < 5 years. We applied the model to all hospitalisations in our population-based cohort to determine the true RSV incidence, and under-ascertainment fraction. The model’s predictive performance was determined using cross-validated area under the receiver operating characteristic (AUROC) curve. From 321,825 hospitalisations, 37,784 were tested for RSV (22.8% positive). Predictors of RSV positivity included younger admission age, male sex, non-Aboriginal ethnicity, a diagnosis of bronchiolitis and longer hospital stay. Our model showed good predictive accuracy (AUROC: 0.87). The respective sensitivity, specificity, positive predictive value and negative predictive values were 58.4%, 92.2%, 68.6% and 88.3%. The predicted incidence rates of hospitalised RSV for children aged < 3 months was 43.7/1000 child-years (95% CI 42.1–45.4) compared with 31.7/1000 child-years (95% CI 30.3–33.1) from laboratory-confirmed RSV admissions. Findings from our study suggest that the true burden of RSV may be 30–57% higher than current estimates.

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