Prevalence and seasonality of six respiratory viruses during five consecutive epidemic seasons in Belgium

Ramaekers, Kaat; Keyaerts, Els; Rector, Annabel; Borremans, A.; Beuselinck, Kurt; Lagrou, Katrien; Ranst, Marc Van

doi:10.1016/j.jcv.2017.07.011

Cited by 34 publications

(41 citation statements)

References 35 publications

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“…The proportion of hMPV‐positive swabs that were also found to be positive for other respiratory viruses was 9.2%, which is similar to what has been previously reported in epidemiological studies conducted in Japan, Hong Kong and Canada in different combinations of other respiratory viruses . Usually hMPV infections are reported during winter‐spring and rainy seasons in temperate and tropical climates, respectively . The number of hMPV‐positive cases was highest in January 2015 (30.4%, n = 72) and September 2015 (22.6%, n = 43), months that coincide with the winter and rainy monsoon seasons, respectively.…”

Section: Discussionsupporting

confidence: 83%

“…23,27,28 Usually hMPV infections are reported during winter-spring and rainy seasons in temperate and tropical climates, respectively. 29 The number of hMPV-positive cases was highest in January 2015 (30.4%, n = 72) and September 2015 (22.6%, n = 43), months that coincide with the winter and rainy monsoon seasons, respectively. By contrast, there were only two hMPV-positive cases between January and August 2016.…”

Section: Discussionmentioning

confidence: 91%

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Genetic characterization of human metapneumovirus identified through community and facility‐based surveillance of infants in Dhaka, Bangladesh

Rahman

Sumiya

Sahabuddin

et al. 2018

Journal of Medical Virology

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Background Acute respiratory infection (ARI) is a leading cause of morbidity and mortality in children in low and middle‐income countries. Human metapneumovirus (hMPV) is one of the most common viral etiological agents for ARIs in children. Objectives In this study, we explored the genotypic diversity and the epidemiology of hMPV among infants in Dhaka, Bangladesh. Study Design Between December 2014 and August 2016, a total of 3810 mid‐turbinate nasal swab samples were collected from infants (0 to 6 months of age) who met clinical ARI criteria, as a part of a prospective ARI cohort study. hMPV was detected using polymerase chain reaction, and genotyped by sequencing and phylogenetic analysis. Results hMPV was identified in 206 (5.4%) nasal swab specimens. One‐tenth of the hMPV‐positive swabs (n = 19) were also positive for other respiratory viruses. hMPV activity peaked in January and September in 2015; however, no seasonal pattern of hMPV infection was detected. Phylogenetic analyses of the N and F gene‐fragments revealed that the hMPV strains circulating in Dhaka, Bangladesh, belonged to three genotypes: A2b, A2c, and B1. Genotype A (57%) was the predominant hMPV genotype circulating in Bangladesh during the study period. Conclusion This study describes both the epidemiology of hMPV infection and its genotypic strain diversity in Dhaka, Bangladesh.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 91%

Genetic characterization of human metapneumovirus identified through community and facility‐based surveillance of infants in Dhaka, Bangladesh

Rahman

Sumiya

Sahabuddin

et al. 2018

Journal of Medical Virology

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“…Influenza A is a leading cause of acute lower respiratory tract infection, particularly in the elderly. 15,16 By contrast, in our study its contribution to RSC was low, especially among the elderly. In children, influenza was not associated to RSC, consistently with its low to marginal role in SARI in this age group.…”

Section: Discussioncontrasting

confidence: 94%

“…This is not an unexpected finding, since the categories of symptoms included in AMPDS triage codes are very broad, resulting in high background noise. 16 Nevertheless, variability in RSC above this high baseline was associated with trends of common respiratory viruses, pointing at their potential usefulness to monitor the respiratory season overall (ie irrespective of the causative pathogen), as previously shown by its association with ILI. 12 The different viruses potentially involved in RSC, their individual trends, and their seasonal variation in severity would make it challenging to design indicators and models that will allow us to prospectively use RSC data for situational awareness for specific viruses separately.…”

Section: Re Sultsmentioning

confidence: 72%

“…year, and our model associated this to RSV, consistent with its earlier presentation in the season. 13,16,25 RSV is the leading cause of SARI in young children 13,[17][18][19]23 and has been highly associated to SARI syndromes in emergency departments 6,14 and ambulances. 10,18 The differences between office and out-of-office hours likely reflect that ambulance calls in these two time frames are distinct populations, probably with a different share of clinical pictures and severity.…”

Section: Discussionmentioning

confidence: 99%

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Ambulance dispatch calls attributable to influenza A and other common respiratory viruses in the Netherlands (2014‐2016)

Monge

Duijster

Kommer

et al. 2020

Influenza Resp Viruses

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Background: Ambulance dispatches could be useful for syndromic surveillance of severe respiratory infections. We evaluated whether ambulance dispatch calls of highest urgency reflect the circulation of influenza A virus, influenza B virus, respiratory syncytial virus (RSV), rhinovirus, adenovirus, coronavirus, parainfluenzavirus and human metapneumovirus (hMPV). Methods:We analysed calls from four ambulance call centres serving 25% of the population in the Netherlands (2014)(2015)(2016). The chief symptom and urgency level is recorded during triage; we restricted our analysis to calls with the highest urgency and identified those compatible with a respiratory syndrome. We modelled the relation between respiratory syndrome calls (RSC) and respiratory virus trends using binomial regression with identity link function. Results:We included 211 739 calls, of which 15 385 (7.3%) were RSC. Proportion of RSC showed periodicity with winter peaks and smaller interseasonal increases.Overall, 15% of RSC were attributable to respiratory viruses (20% in out-of-office hour calls). There was large variation by age group: in <15 years, only RSV was associated and explained 11% of RSC; in 15-64 years, only influenza A (explained 3% of RSC); and in ≥65 years adenovirus explained 9% of RSC, distributed throughout the

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Comparison of Common Respiratory Virus Peak Incidence Among Varying Age Groups in Rhode Island, 2012-2016

2020

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Although children and young adults appear to drive the spread of influenza virus and respiratory syncytial virus (RSV) in community settings, 1-3 this issue remains unclear. 4 We assessed the seasonality of respiratory viral infections with respect to age in 1 locale. Methods The study was approved by the Rhode Island Hospital institutional review board and was granted a waiver of informed consent because it involves the use of secondary data. This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline. This cross-sectional case series involved detection of respiratory viruses among different age groups in Rhode Island. Data were derived from respiratory specimens sent to the Lifespan Microbiology Laboratory from inpatients and outpatients assessed at a Lifespan facility, which was licensed for 1165 beds and 757 380 outpatient visits in 2017, as well as patient specimens from other outpatient facilities throughout Rhode Island. All respiratory viruses positively identified in the laboratory by use of the respiratory viral panel and rapid influenza or RSV tests were reviewed. Adenovirus, coronavirus (not coronavirus disease 2019), influenza, parainfluenza, RSV, and human metapneumovirus were included for analysis. The weekly number of positive tests between January 2012 and December 2016 was extracted to construct a longitudinal case series for 4 age groups: 0 to 4 years, 5 to 17 years, 18 to 64 years, and 65 years and older. Analyses were performed using R Studio statistical software version 1.2.503 (R Project for Statistical Computing). Data analysis was performed from December 2018 to April 2019. Time series analysis and cross-correlation analysis were applied to determine the detection of respiratory viruses in the age group with the highest incidence and its correlation with detection in different age groups. Statistical significance was set at P < .05 and was calculated with linear regression and 2-sided Fisher exact tests. Results A total of 6733 respiratory viruses were detected and were predominantly detected in the following weeks: adenovirus, multiple peaks; coronavirus, weeks 50 to 7 (560 of 677 cases [83%]); influenza virus, weeks 50 to 9 (1487 of 1825 cases [84%]); parainfluenza virus, multiple weeks; RSV, weeks 48 to 11 (2198 of 2278 cases [97%]); and human metapneumovirus, weeks 1 to 17 (950 of 1017 cases [93%]) (Figure). With the exception of influenza virus, which first started in the 18-to 64-year age group, most respiratory virus infections occurred in the 0-to 4-year age group before other age groups, including peak detection of the coronavirus (Table). The Table shows the number and percentage of total cases, the lagged period (in weeks) with respect to the reference age group (ie, 0-4 years for adenovirus), and their mean (SE) correlation coefficients with statistical significance. In the 65 years and older age group, peak detection of influenza virus, parainfluenza virus, and human metapneumovirus occurred 3 weeks after peak detec...

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Prevalence and seasonality of six respiratory viruses during five consecutive epidemic seasons in Belgium

Cited by 34 publications

References 35 publications

Genetic characterization of human metapneumovirus identified through community and facility‐based surveillance of infants in Dhaka, Bangladesh

Genetic characterization of human metapneumovirus identified through community and facility‐based surveillance of infants in Dhaka, Bangladesh

Ambulance dispatch calls attributable to influenza A and other common respiratory viruses in the Netherlands (2014‐2016)

Comparison of Common Respiratory Virus Peak Incidence Among Varying Age Groups in Rhode Island, 2012-2016

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