scholarly journals Extending influenza surveillance to detect non-influenza respiratory viruses of public health relevance: analysis of surveillance data, 2015-2019, Belgium

Author(s):  
Lorenzo Subissi ◽  
Nathalie Bossuyt ◽  
Marijke Reynders ◽  
Michèle Gérard ◽  
Nicolas Dauby ◽  
...  

AbstractBACKGROUNDSeasonal influenza-like illness (ILI) affects millions of people yearly. Severe acute respiratory infections (SARI), mainly caused by influenza, are a leading cause of hospitalisation and mortality. Increasing evidence indicates that non-influenza respiratory viruses (NIRVs) also contribute to the burden of SARI. In Belgium, SARI surveillance by a network of sentinel hospitals is ongoing since 2011.AIMHere, we report the results of using in-house multiplex PCRs for the detection of a flexible panel of viruses in respiratory ILI and SARI samples and the estimated incidence rates of SARI associated to each virus.METHODSILI was defined as an infection with onset of fever and cough or dyspnoea. SARI was defined as an infection requiring hospitalization with onset of fever and cough or dyspnoea within the previous 10 days. Samples were collected during four winter seasons and tested by multiplex RT-qPCRs for influenza virus and NIRVs. Using catchment population estimates, incidence rates of SARI associated to each virus were calculated.RESULTSOne third of the SARI cases were positive for NIRVs, reaching 49.4% among children under fifteen. In children under five, incidence rates of NIRV-associated SARI were double that of influenza (103.4 versus 57.6 per 100000 person-months), with NIRV co-infections, respiratory syncytial viruses, human metapneumoviruses and picornaviruses contributing the most (33.1, 13.6, 15.8 and 18.2 per 100000 person-months, respectively).CONCLUSIONEarly testing for NIRVs could be beneficial to clinical management of SARI patients, especially in children under five, for whom the burden of NIRV-associated disease exceeds that of influenza.

2021 ◽  
Vol 26 (38) ◽  
Author(s):  
Lorenzo Subissi ◽  
Nathalie Bossuyt ◽  
Marijke Reynders ◽  
Michèle Gérard ◽  
Nicolas Dauby ◽  
...  

Background Seasonal influenza-like illness (ILI) affects millions of people yearly. Severe acute respiratory infections (SARI), mainly influenza, are a leading cause of hospitalisation and mortality. Increasing evidence indicates that non-influenza respiratory viruses (NIRV) also contribute to the burden of SARI. In Belgium, SARI surveillance by a network of sentinel hospitals has been ongoing since 2011. Aim We report the results of using in-house multiplex qPCR for the detection of a flexible panel of viruses in respiratory ILI and SARI samples and the estimated incidence rates of SARI associated with each virus. Methods We defined ILI as an illness with onset of fever and cough or dyspnoea. SARI was defined as an illness requiring hospitalisation with onset of fever and cough or dyspnoea within the previous 10 days. Samples were collected in four winter seasons and tested by multiplex qPCR for influenza virus and NIRV. Using catchment population estimates, we calculated incidence rates of SARI associated with each virus. Results One third of the SARI cases were positive for NIRV, reaching 49.4% among children younger than 15 years. In children younger than 5 years, incidence rates of NIRV-associated SARI were twice that of influenza (103.5 vs 57.6/100,000 person-months); co-infections with several NIRV, respiratory syncytial viruses, human metapneumoviruses and picornaviruses contributed most (33.1, 13.6, 15.8 and 18.2/100,000 person-months, respectively). Conclusion Early testing for NIRV could be beneficial to clinical management of SARI patients, especially in children younger than 5 years, for whom the burden of NIRV-associated disease exceeds that of influenza.


2015 ◽  
Vol 14 (4) ◽  
pp. 36-40
Author(s):  
Z. Sh. Nurmatov

Introduction: Review of official reports for the last 10 years revealed that up to 5% of the country population suffers from acute respiratory infections (ARI) annually. The study aimed to research the actual incidence by analyzing the prevailing behaviors in populations with respiratory symptoms.Methods: The prospective behavioral study was conducted at the outpatient clinic No 1 in Bishkek, with the number of catchment population aged above 18 totaling 25,057. Selection of respondents was based on systematic sampling. Every hundredth resident was selected from the electronic database of the catchment population. 224 people above 18 were actually enrolled in the study. The survey continued from November 2012 to April 2013. Except for the first interview, all follow-up interviews were done over the phone. For the purposes of the study, individuals in the study group were considered cases if they exhibited symptoms of ARI, according to the WHO Regional Office for Europe guidance for sentinel influenza surveillance in humans (2011). The survey results data analysis was performed using the Epi Info statistical software.Results: From November 2012, to April 2013, 61.2% (224) of the observed population became ill. 46.7% were ill with ARI once, 40.1% – 2 – 3 times, 11.7% – 4 – 7 times, as a result 137 people got sick a total of 307 times (136,161 per 100,000 population), only 75 cases sought medical attention (24.6%). The incidence rates in the observed group of patients with ARI (75/305) who sought medical care per 100,000 population comprised 33,482.1. According to the routine surveillance in 2012 – 2013 epidemic season, there were 34,637 cases of ARI (3,826.9 per 100,000 population). In the fall, the incidence totaled 36.8%, in winter – 20.2% and in spring 29.1%. The incidence rates by age group, gender, and presence of children in the family did not have statistically significant differences. The most frequent symptoms were as follows: cough (64.6%), rhinitis (61.0%), headache (58.1%), and sore throat (50.1%).Conclusions: In the 2012 – 2013 epidemic season, the incidence of ARI in the observed population was 35.6 times higher than the registered incidence in Bishkek, which indicates the low rate of seeking care. 


2019 ◽  
Vol 12 (2) ◽  
pp. 74-79
Author(s):  
R. Koirala

 Introduction: Acute Respiratory Infection (ARI) is one of the leading causes of morbidity and mortality in under five-year children. Risk factors include age, sex, socio‐economic status, indoor air pollution, passive smoking, lack of basic health services, and lack of awareness. In this study, we aimed to determine the associated risk factors of ARI in children under five-years of age. Methods: We carried out a hospital-based descriptive cross-sectional study in the peak period of of November 2017 to February 2018. The study was conducted in Fishtail Hospital and Research Center (FHRC), Pokhara, Nepal. Non probability, purposive sampling technique was used and a structural interview was taken for data collection. The tool comprised of two main parts. Part I- questions related to socio-demographic variables of mother and baby. Part II- questions related to risk factors of ARI. The collected data was analyzed using Statistical Package for Social Science (SPSS) software, version 16. The Chi Square statistic is used for testing relationships between categorical variables. Results: In total of 302 children visited to FHRC with the symptoms of ARI, only 188 (63%) were diagnosed as ARI. The most common symptoms were fever (42.2%), cough (35.7%), running nose (34.1%), difficulty in breathing (28.5%) and chest in drawing (11.6%). The age of children with ARI ranged from one to sixty month with the mean age of 21.46 ±13.52. Among 188 children, 51% were males whereas 49%were females. There were no statistically differences of children weight at birth among ARI. Our results revealed environmental and social factors associated with ARI. Conclusions: The risk factors significantly associated with ARI were malnutrition, exposure to wood smoke and mosquito coil and contact with person having ARI. Reducing these conditions may reduce the morbidity and mortality associated with ARI in children.


2004 ◽  
Vol 49 (3) ◽  
pp. 222-228 ◽  
Author(s):  
Mariana Viegas ◽  
Paola R. Barrero ◽  
Alberto F. Maffey ◽  
Alicia S. Mistchenko

Sign in / Sign up

Export Citation Format

Share Document