Influenza Sentinel Surveillance Research Articles

Surveillance and laboratory detection for non-polio enteroviruses in the European Union/European Economic Area, 2016.

Enteroviruses (EVs) cause severe outbreaks of respiratory and neurological disease as illustrated by EV-D68 and EV-A71 outbreaks, respectively. We have mapped European laboratory capacity for identification and characterisation of non-polio EVs to improve preparedness to respond to (re)-emerging EVs linked to severe disease. An online questionnaire on non-polio EV surveillance and laboratory detection was submitted to all 30 European Union (EU)/European Economic Area (EEA) countries. Twenty-nine countries responded; 26 conducted laboratory-based non-polio EV surveillance, and 24 included neurological infections in their surveillance. Eleven countries have established specific surveillance for EV-D68 via sentinel influenza surveillance (n = 7), typing EV-positive respiratory samples (n = 10) and/or acute flaccid paralysis surveillance (n = 5). Of 26 countries performing non-polio EV characterisation/typing, 10 further characterised culture-positive EV isolates, whereas the remainder typed PCR-positive but culture-negative samples. Although 19 countries have introduced sequence-based EV typing, seven still rely entirely on virus isolation. Based on 2015 data, six countries typed over 300 specimens mostly by sequencing, whereas 11 countries characterised under 50 EV-positive samples. EV surveillance activity varied between EU/EEA countries, and did not always specifically target patients with neurological and/or respiratory infections. Introduction of sequence-based typing methods is needed throughout the EU/EEA to enhance laboratory capacity for the detection of EVs.

A Smart Card-Based Electronic School Absenteeism System for Influenza-Like Illness Surveillance in Hong Kong: Design, Implementation, and Feasibility Assessment.

BackgroundSchool-aged children have the highest incidence of respiratory virus infections each year, and transmission of respiratory viruses such as influenza virus can be a major concern in school settings. School absenteeism data have been employed as a component of influenza surveillance systems in some locations. Data timeliness and system acceptance remain as key determinants affecting the usefulness of a prospective surveillance system.ObjectiveThe aim of this study was to assess the feasibility of implementing an electronic school absenteeism surveillance system using smart card–based technology for influenza-like illness (ILI) surveillance among a representative network of local primary and secondary schools in Hong Kong.MethodsWe designed and implemented a surveillance system according to the Protocol for a Standardized information infrastructure for Pandemic and Emerging infectious disease Response (PROSPER). We employed an existing smart card–based education and school administration platform for data capture, customized the user interface, and used additional back end systems built for other downstream surveillance steps. We invited local schools to participate and collected absenteeism data by the implemented system. We compared temporal trend of the absenteeism data with data from existing community sentinel and laboratory surveillance data.ResultsWe designed and implemented an ILI surveillance system utilizing smart card–based attendance tracking approach for data capture. We implemented the surveillance system in a total of 107 schools (including 66 primary schools and 41 secondary schools), covering a total of 75,052 children. The system successfully captured information on absences for 2 consecutive academic years (2012-2013 and 2013-2014). The absenteeism data we collected from the system reflected ILI activity in the community, with an upsurge in disease activity detected up to 1 to 2 weeks preceding other existing surveillance systems.ConclusionsWe designed and implemented a novel smart card technology–based school absenteeism surveillance system. Our study demonstrated the feasibility of building a large-scale surveillance system riding on a routinely adopted data collection approach and the use of simple system enhancement to minimize workload implication and enhance system acceptability. Data from this system have potential value in supplementing existing sentinel influenza surveillance for situational awareness of influenza activity in the community.

Pandemic-related health behavior: repeat episodes of influenza-like illness related to the 2009 H1N1 influenza pandemic.

The Houston Health Department (HHD) in Texas tracks influenza-like illness (ILI) in the community through its Influenza Sentinel Surveillance Program, which began in 2008. After the influenza A(H1N1) pandemic (pH1N1) in 2009, investigators sought to assess the feasibility of this program as a non-traditional data source for tracking and monitoring care-seeking activities. Through the process of characterizing and describing patients who had 'return visits', or who were considered the heaviest ILI-related care-utilizers, the investigators sought to understand the strengths and limitations of this data source. Data used for this study were obtained from a multispecialty clinic in Houston, Texas between August 2008 and January 2011 across three phases: pre-pH1N1, pH1N1, and post-pH1N1. The data, which comprised of 4047 patient visits, yielded 150 return visits. We found an increase in the number of visits for ILI and proportion of return visits during the pandemic phase (pH1N1), as well as differences in the likelihood of a return visit between genders and age groups. More broadly, the findings of this study provide important considerations for future research and expose important gaps in using surveillance data to assess sick-role behaviors.

Evaluation of the influenza sentinel surveillance system in Madagascar, 2009-2014.

ProblemEvaluation of influenza surveillance systems is poor, especially in Africa.ApproachIn 2007, the Institut Pasteur de Madagascar and the Malagasy Ministry of Public Health implemented a countrywide system for the prospective syndromic and virological surveillance of influenza-like illnesses. In assessing this system’s performance, we identified gaps and ways to promote the best use of resources. We investigated acceptability, data quality, flexibility, representativeness, simplicity, stability, timeliness and usefulness and developed qualitative and/or quantitative indicators for each of these attributes.Local settingUntil 2007, the influenza surveillance system in Madagascar was only operational in Antananarivo and the observations made could not be extrapolated to the entire country.Relevant changesBy 2014, the system covered 34 sentinel sites across the country. At 12 sites, nasopharyngeal and/or oropharyngeal samples were collected and tested for influenza virus. Between 2009 and 2014, 177 718 fever cases were detected, 25 809 (14.5%) of these fever cases were classified as cases of influenza-like illness. Of the 9192 samples from patients with influenza-like illness that were tested for influenza viruses, 3573 (38.9%) tested positive. Data quality for all evaluated indicators was categorized as above 90% and the system also appeared to be strong in terms of its acceptability, simplicity and stability. However, sample collection needed improvement.Lessons learntThe influenza surveillance system in Madagascar performed well and provided reliable and timely data for public health interventions. Given its flexibility and overall moderate cost, this system may become a useful platform for syndromic and laboratory-based surveillance in other low-resource settings.

Enhancement of the Influenza Surveillance System in the Russian Federation: the Main Results of the Sentinel Surveillance for Influenza and other Acute Respiratory Viral Infections

Existing influenza surveillance system is constantly improved to obtain comprehensive information for understanding of continuously changing situation with the influenza, which is a consequence of the highest variability of the pathogen, its ability to reassortment and the imminence of emergence a new shift-variants of the virus that could cause the next pandemic events. For this purpose, since the 2010 - 2011 epidemic season, in addition to the traditional surveillance system (TS) a new well standardized sentinel surveillance system (SS) for rapid clinical and epidemiological data obtaining was introduced in Russia. A total 7812 hospitalized patients with severe acute respiratory infection (SARI) and 9854 outpatients with influenza-like illness and acute respiratory infection (ILI/ARI) were investigated during the 6-year period in SS. Percent of SARI among all hospitalized patients ranged from 1.7 to 3.1%; about 5.3 - 7.5% SARI patients were placed in the Intensive Care Unit. Etiological monitoring using PCR showed influenza spread trends in SS similar to those registered in the TS: a clear predominance of influenza A (H1N1) pdm09 among SARI and ILI/ARI in 2010 - 2011 and 2015 - 2016 epidemic seasons, influenza A (H3N2) in the epidemic seasons 2011 - 2012 and 2014 - 2015, the co-circulation of these pathogens in 2012 - 2013, 2013 - 2014 seasons in Russia. SARI caused by influenza B virus were detected less frequently than influenza A but increased influenza B activity was registered in the epidemic of 2014 -2015, when Yamagata lineage changed suddenly for the Victorian one. The average frequency of influenza diagnosis among SARI between the seasons varied in the range 12.5 - 27.1%, at the peak of the epidemic it reached 44.8 - 73.5% and was the highest during the season with active circulation of influenza A (H1N1) pdm09 virus. The rate of influenza diagnosis among ILI/ARI has always been lower than that among SARI. Studies have also shown the importance of rhinovirus, RS-virus and parainfluenza infections in SARI development. The frequency of registration of coronaviruses, metapneumovirus and bocavirus infection was very low in SARI and ILI/ARI. It was found that in all studied seasons most of SARI patients with influenza have not been vaccinated. Among ILI/ARI outpatients with influenza, the frequency of vaccinated individuals for the entire period of the study was estimated as 10.1%, which was 4.2 times higher than that in SARI, where only 2.4% of patients were vaccinated. In addition, it was found that for all six seasons the SARI patients with influenza were treated with antivirals drugs 2 times less often compared to outpatients. Analysis of data on concomitant diseases and conditions in SARI patients with influenza confirmed the leading role of pregnancy as a risk factor for hospitalization in all influenza epidemics, irrespective of their etiology. In addition, diabetes and cardiovascular disease were recognized as risk factors for influenza associated SARI development.

Pilot study to harmonize the reported influenza intensity levels within the Spanish Influenza Sentinel Surveillance System (SISSS) using the Moving Epidemic Method (MEM).

The intensity of annual Spanish influenza activity is currently estimated from historical data of the Spanish Influenza Sentinel Surveillance System (SISSS) using qualitative indicators from the European Influenza Surveillance Network. However, these indicators are subjective, based on qualitative comparison with historical data of influenza-like illness rates. This pilot study assesses the implementation of Moving Epidemic Method (MEM) intensity levels during the 2014-2015 influenza season within the 17 sentinel networks covered by SISSS, comparing them to historically reported indicators. Intensity levels reported and those obtained with MEM at the epidemic peak of the influenza wave, and at national and regional levels did not show statistical difference (P = 0·74, Wilcoxon signed-rank test), suggesting that the implementation of MEM would have limited disrupting effects on the dynamic of notification within the surveillance system. MEM allows objective influenza surveillance monitoring and standardization of criteria for comparing the intensity of influenza epidemics in regions in Spain. Following this pilot study, MEM has been adopted to harmonize the reporting of intensity levels of influenza activity in Spain, starting in the 2015-2016 season.

Sentinel surveillance for influenza in Oman, January 2008-June 2013

Background: Acute respiratory infections, including influenza, comprise a leading cause of morbidity and mortality globally. Influenza surveillance provides important information to inform policy on influenza control and vaccination. While the epidemiology of influenza has been well characterized in western countries, few data exist on influenza epidemiology in the Eastern Mediterranean Region. We describe the epidemiology of influenza virus in Oman. Methods: Using syndromic case definitions and protocols, patients from four regional hospitals in Oman were enrolled in a descriptive prospective study to characterize the burden of severe acute respiratory infections (SARI) and influenza. Patients meeting the SARI case definition provided demographic information as well as oropharyngeal and nasopharyngeal swabs. Specimens were tested for influenza A and influenza B. Influenza A viruses were subtyped using RT-PCR. Results: From January 2008 through June 2013, a total of 5,147 cases were enrolled and tested for influenza. Influenza strains were detected in 8% of cases for whom samples were available. Annual incidence rates ranged from 0.5 to 15.4 cases of influenza-associated SARI per 100,000 population. The median age of influenza patients was 6 years with children 0–2 years accounting for 34% of all influenza-associated hospitalizations. By contrast, the median age of non-influenza SARI cases was 1 year, with children 0–2 years comprising 59% of SARI. Compared to non-influenza SARI cases, a greater proportion of influenza cases had pre-existing chronic conditions and underwent ventilation during hospitalization. Conclusions: Influenza virus is associated with a substantial proportion of SARI in Oman. Influenza in Oman approximately follows northern hemisphere seasonality, with major peaks in October to December and a lesser peak around April. The burden of influenza was greatest in children and the elderly. Future efforts should examine the burden of influenza in other potential risk groups such as pregnant women to inform interventions including targeted vaccination.

Dynamic patterns of circulating influenza virus from 2005 to 2012 in Shandong Province, China.

To identify circulating emerging/reemerging viral strains and epidemiological trends, an influenza sentinel surveillance network was established in Shandong Province, China, in 2005. Nasal and/or throat swabs from patients with influenza-like-illness were collected at sentinel hospitals. Influenza viruses were detected by reverse transcription polymerase chain reaction (RT-PCR) or virus isolation. From October 2005 to March 2012, 7763 (21.44%) of 36,209 swab samples were positive for influenza viruses, including 5221 (67.25%) influenza A and 2542 (32.75%) influenza B. While the influenza viruses were detected year-round, their type/subtype distribution varied significantly. Peak influenza activity was observed from November to February. The proportion of laboratory-confirmed influenza cases was highest among participants aged 0-4years (14.97%) in the 2005-2009 and 2010-2012 influenza seasons and the positivity rate of influenza A(H1N1)pdm09 was highest in the 15 to 24year age group during the 2009-2010 influenza season. Genetic analysis of hemagglutinin (HA) and neuraminidase (NA) genes revealed that the viruses matched seasonal influenza vaccine strains in general, with some amino acid mutations. Influenza A(H1N1)pdm09 strains isolated in Shandong Province were characterized by an S203T mutation that is specific to clade 7 isolates. This report illustrates that the Shandong Provincial influenza surveillance system was sensitive in detecting influenza virus variability by season and by genetic composition. This system will help official public health target interventions such as education programs and vaccines.

Influenza surveillance in five consecutive seasons during post pandemic period: results from National Influenza Center, Turkey

Influenza surveillance provides data about the characteristics of influenza activity, types, sub-types and antigenic properties of the influenza viruses in circulation in a region. Surveillance also provides for the preparation against potential influenza pandemics with the identification of the genetic properties of viruses and the mutant strains that could pose a threat. In this study, data in the scope of national influenza surveillance carried out by National Influenza Center, Turkey for five consecutive influenza seasons between 2010-2015, following the A(H1N1)pdm09 virus pandemic, have been presented and evaluated. A total of 15.149 respiratory samples, including 8.894 sentinel and 6.255 non-sentinel specimens, during 2010-2015 influenza seasons, within the periods between September and May, were evaluated in our center. All samples were tested using real-time reverse transcriptase PCR (rRT-PCR) for the presence of influenza virus types and subtypes. Within the sentinel influenza surveillance, the samples that were detected negative for influenza viruses, have also been tested for the other respiratory viruses (respiratory syncytial virus, rhinoviruses, paramyxoviruses, coronaviruses) using the same technique. Further analysis, including virus isolation by cell culture inoculation and antigenic characterization by hemagglutination inhibiton test were performed for the samples found positive for influenza A and B viruses. Selected representative virus isolates have been sent to WHO reference laboratory for the sequence analysis. In the study, influenza virus positivity rates detected for all of the samples (sentinel+non-sentinel) were as follows; 34% (779/2316) in 2010-11 season; 25% (388/1554) in 2011-12; 20% (696/3541) in 2012-13; 23% (615/2678) in 2013-14; and 26% (1332/5060) in 2014-15. When all the samples were considered for influenza A and B viruses, the positivity rates for the seasons of 2010-11; 2011-12; 2012-13; 2013-14; 2014-15 were determined as follows; 49.9% and 50.1%, 71.6% and 28.4%; 98.3% and 1.7%; 73.6% and 26.4%; 48.1% and 51.9%, respectively. The frequency of respiratory viruses detected only in sentinel samples other than influenza, were found as follows; 10% (148/1435) in 2010-11; 18% (175/963) in 2011-12; 23% (415/1768) in 2012-13; 22% (468/2108) in 2013-14; and 21% (546/2620) in 2014-15 seasons. When the distribution of influenza virus subtypes were considered, the detection rates of A(H1N1)pdm09 and A(H3N2) viruses in all of the samples were 55% and 45%; 0% and 100%; 95% and 5%; 2% and 98%; and 79% and 21% in the seasons of 2010-11; 2011-12; 2012-13; 2013-14; and 2014-15, respectively. For B/Victoria and B/Yamagata lineages, those rates in the same order of seasons were found as 15% and 85%; 98% and 2%; 0% and 100%; 16% and 84%; and 2% and 98%, respectively. When the data were evaluated, for 2010-2011 and 2014-2015 seasons, cocirculation of influenza A and B were observed within the same periods and similar proportions, but the peak activity occurred 7-8 weeks later for 2014-2015 season. For both seasons, A(H1N1)pdm09 viruses were predominant for non-sentinel, while A(H3N2) viruses were predominant for sentinel detections. During 2011-2012 and 2013-2014 seasons, influenza activity presented similar profile; predominance of A(H3N2) and B viruses observed while A(H1N1)pdm09 virus detections remained low. In contrast, for the 2012-2013 season, A(H1N1)pdm09 viruses were predominant and the detection of A(H3N2) and B viruses remained low. For the seasons in which A(H3N2) was predominant, the peak activity seen earlier than the other seasons. For all seasons, A(H1N1)pdm09 viruses in circulation were antigenically compatible with the vaccine virus, while A(H3N2) viruses were compatible for three seasons (2010-11, 2012-13, 2013-14) and incompatible in two seasons (2011-12, 2014-15). Influenza B viruses were determined as antigenically compatible with the vaccine viruses in all except 2010-2011 season. Predominance of B/Victoria lineage were observed during 2011-2012 season while the rest of the majority were B/Yamagata. The positivity rates of other respiratory viruses which were also analyzed in the scope of sentinel influenza surveillance were similar to influenza positivity for all seasons except 2010-2011. This fact has emphasized that, those viruses were also responsible for influenza-like illness especially during the early and late phases of the season. In conclusion, monitoring of the antigenic and genetic characteristics of influenza viruses by surveillance studies is essential for the early detection of potential pandemic variants as well as to ensure similarities among the circulating strains and the corresponding vaccine strains.

Capacity of the national influenza surveillance system in Afghanistan, a chronic conflict setting

Influenza surveillance is needed to monitor potential public health threats from the emergence of novel influenza viruses. This study assessed the capacity and performance of the national influenza surveillance system in Afghanistan from 2007 to 2014. Data were collected by review of hospital registers and the National Influenza Centre (NIC) database, interviews with influenza focal points at 9 influenza sentinel surveillance sites and the Centre staff, and observation of the sites. Out of 6900 specimens collected, influenza virus was detected in 253 (3.6%), predominantly H1N1 (63%); most of these cases were detected during the 2009 pandemic. The NIC had the capacity for virus isolation and PCR identification and performed reasonably until 2011 when support of the Naval American Medical Research Unit 3 was withdrawn. The limitations identified in the system indicated the need for: more complete data, improved technical competence and trained human resources, updating of the infrastructure/facilities, and the presence of standard operating procedures throughout surveillance.

Sentinel surveillance for influenza among severe acute respiratory infection and acute febrile illness inpatients at three hospitals in Ghana.

BackgroundInfluenza epidemiology in Africa is generally not well understood. Using syndrome definitions to screen patients for laboratory confirmation of infection is an established means to effectively conduct influenza surveillance.MethodsTo compare influenza‐related epidemiologic data, from October 2010 through March 2013, we enrolled hospitalized severe acute respiratory infection (SARI; fever with respiratory symptoms) and acute febrile illness (AFI; fever without respiratory or other localizing symptoms) patients from three referral hospitals in Ghana. Demographic and epidemiologic data were obtained from enrolled patients after which nasopharyngeal and oropharyngeal swabs were collected, and processed by molecular methods for the presence of influenza viruses.ResultsOf 730 SARI patients, 59 (8%) were influenza positive; of 543 AFI patients, 34 (6%) were positive for influenza. Both SARI and AFI surveillance yielded influenza A(H3N2) (3% versus 1%), A(H1N1)pdm09 (2% versus 1%), and influenza B (3% versus 4%) in similar proportions. Data from both syndromes show year‐round influenza transmission but with increased caseloads associated with the rainy seasons.ConclusionsAs an appreciable percentage of influenza cases (37%) presented without defined respiratory symptoms, and thus met the AFI but not the SARI definition, it is important to consider broader screening criteria (i.e., AFI) to identify all laboratory‐confirmed influenza. The identified influenza transmission seasonality has important implications for the timing of related public health interventions.

Influenza vaccine effectiveness in Italy: Age, subtype-specific and vaccine type estimates 2014/15 season

The 2014/15 influenza season in Europe was characterised by the circulation of influenza A(H3N2) viruses with an antigenic and genetic mismatch from the vaccine strain A/Texas/50/2012(H3N2) recommended for the Northern hemisphere for the 2014/15 season. Italy, differently from other EU countries where most of the subtyped influenza A viruses were H3N2, experienced a 2014/15 season characterized by an extended circulation of two influenza viruses: A(H1N1)pdm09 and A(H3N2), that both contributed substantially to morbidity.Within the context of the existing National sentinel influenza surveillance system (InfluNet) a test-negative case-control study was established in order to produce vaccine effectiveness (VE) estimates. The point estimates VE were adjusted by age group (<5; 5–15; 15–64; 65+ years), the presence of at least one chronic condition, target group for vaccination and need help for walking or bathing. In Italy, adjusted estimates of the 2014/15 seasonal influenza VE against medically attended influenza-like illness (ILI) laboratory-confirmed as influenza for all age groups were 6.0% (95%CI: −36.5 to 35.2%), 43.6% (95%CI: −3.7 to 69.3%), −84.5% (95%CI: (−190.4 to −17.2%) and 50.7% (95% CI: −2.5 to 76.3%) against any influenza virus, A(H1N1)pdm09, A(H3N2) and B, respectively. These results suggest evidence of good VE against A(H1N1)pdm09 and B viruses in Italy and evidence of lack of VE against A(H3N2) virus due to antigenic and genetic mismatch between circulating A(H3N2) and the respective 2014/15 vaccine strain.

Clinical presentation, management and outcomes of influenza in Africa: systematic review, 2009-2014

Background: This paper aims to review the effectiveness of diagnostic and management of influenza in Africa, specifically mortality, treatment and outcomes. Methods & Materials: In two times, we searched the online databases PubMed™ and Scopus™ for articles and abstracts published in English and French between January 2003 and December 2014, with the following terms :(influenza OR flu) AND (clinical) AND (management OR outcomes) AND (Africa) at the first time, and online databases of internationals conferences for the abstract who do not meet the consent of the editor of scientific journals at the second time. Cross- sectional, longitudinal studies and randomized clinical trial on influenza were selected when clinical, management and outcomes were reported. Results: Patients with influenza were more likely to present with fever as initial and main symptom, followed by shortness of breathing, cough, muscle & joint pain, sore throat, hemoptysis, dyspnea, and gastrointestinal complaints (vomiting and diarrhea), pneumonic infiltrations in the chest. For the diagnostic nasal secretions were collected in patients presenting with flu syndrome and follow-up by laboratory identification of viruses was performed by the ELISA technique using anti-A and anti-B monoclonal antibodies (immunocapture) and by isolation on MDCK cells, quantitative real-time polymerase chain reaction (qRT-PCR) assay of the upper respiratory tract is used increasingly to diagnose lower respiratory tract infections. Amongst samples analyzed for influenza; 1–45% had laboratory-confirmed influenza infections; including influenza virus A (H3N2) type, A (H1N1) type, A (H5N1) type and influenza virus B. All confirmed cases received oseltamivir in any setting. Among groups known to be at high risk of influenza-associated complications, Included age<5 years, asthma, cardiac disease, pregnancy, diabetes mellitus, active pulmonary tuberculosis and chronic malnutrition. Mortality rate was 28 – 68.4%. Female sex, age>15 years, and receiving the first dose of oseltamivir>2 days after illness onset, non vaccination against the virus the circulating influenza, cardiovascular complications and ventilatory associated pneumonia were identified as mortality predicting factors. Conclusion: The classic presentation of influenza in Africa is most often confused with malaria, low technical platforms limit the detection of virus in the samples. The progressive creation of influenza sentinel surveillance system will improve care in Africa.

Waning protection of influenza vaccine against mild laboratory confirmed influenza A(H3N2) and B in Spain, season 2014–15

IntroductionThe 2014/15 influenza season in Spain was dominated by the circulation of drifted A(H3N2) and co-circulation of B viruses. We present the final estimates of influenza vaccine effectiveness (IVE) against confirmed influenza A(H3N2) and B its evolution along the season and with time since vaccination. MethodsWe used data collected on influenza like illness patients (ILI), systematically swabbed for the presence of influenza viruses within the Spanish Influenza Sentinel Surveillance System (SISS) and a restricted observational study (cycEVA). We used a test negative case–control design to compare influenza confirmed cases with negative controls. We estimated the IVE through a logistic regression model adjusting for potential confounders. The evolution of IVE was studied in early and late stages of the epidemic, and in different time intervals between receiving influenza vaccination and the onset of symptoms. ResultsAt the end of the season we have found low and moderate IVE point estimates against influenza A(H3N2) and B, respectively, in all ages and target groups for vaccination. An IVE decreased from an early value of 37% to a late of −76% against influenza A(H3N2), and similarly, 84% vs −4% against Influenza B. When the onset of symptoms occurred more than three months after vaccination, the decrease of IVE was slower and milder against influenza B than against influenza A(H3N2). No significant change in the percentage of circulating drifted influenza A(H3N2) strains belonging to the 3c.2a and 3c.3a clades could be identified through the season. ConclusionsIn a season dominated by drifted A(H3N2) circulating virus, the vaccine offered little or no protection against A(H3N2) infection but had a moderate protective effect against influenza B. Efforts should be put in developing influenza vaccines that maintain their protective capabilities throughout the season and could stimulate a potentially broad immune response against diverse influenza strains.

Evaluation of National Influenza Sentinel Surveillance System in Nigeria, Jan-Dec 2014

National Influenza Sentinel Surveillance (NISS) was established in Nigeria in 2006 to monitor influenza occurrence in humans in Nigeria and provide a foundation for detecting outbreaks of novel strains of influenza. The evaluation was conducted to assess the performance of the surveillance system from January to December 2014 and identify factors affecting the performance. The system was determined to be useful, flexible, acceptable, and simple. However, timeliness and stability need to be strengthened.

Viral and bacterial etiology of severe acute respiratory illness among children < 5 years of age without influenza in Niger.

BackgroundGlobally, pneumonia is the leading cause of morbidity and mortality in children, with the highest burden experienced in sub-Saharan Africa and Asia. However, there is a dearth of information on the etiology of severe acute respiratory illness (SARI) in Africa, including Niger.MethodsWe implemented a retrospective study as part of national influenza sentinel surveillance in Niger. We randomly selected a sample of nasopharyngeal specimens collected from children <5 years of age hospitalized with SARI from January 2010 through December 2012 in Niger. The samples were selected from individuals that tested negative by real-time reverse transcription polymerase chain reaction (rRT-PCR) for influenza A and B virus. The samples were analyzed using the Fast Track Diagnostic Respiratory Pathogens 21plus Kit (BioMérieux, Luxemburg), which detects 23 respiratory pathogens including 18 viral and 5 bacterial agents.ResultsAmong the 160 samples tested, 138 (86 %) tested positive for at least one viral or bacterial pathogen; in 22 (16 %) sample, only one pathogen was detected. We detected at least one respiratory virus in 126 (78 %) samples and at least one bacterium in 102 (64 %) samples. Respiratory syncytial virus (56/160; 35 %), rhinovirus (47/160; 29 %) and parainfluenza virus (39/160; 24 %) were the most common viral pathogens detected. Among bacterial pathogens, Streptococcus pneumoniae (90/160; 56 %) and Haemophilus influenzae type b (20/160; 12 %) predominated.ConclusionsThe high prevalence of certain viral and bacterial pathogens among children <5 years of age with SARI highlights the need for continued and expanded surveillance in Niger.

Prospective Behavioral Study of Patients with Acute Respiratory Infections

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.

Influenza Sentinel Surveillance among Patients with Influenza-Like-Illness and Severe Acute Respiratory Illness within the Framework of the National Reference Laboratory, Niger, 2009-2013.

BackgroundLittle is known about the epidemiology of influenza in Africa, including Niger. We documented the epidemiology of seasonal and pandemic influenza among outpatients with influenza-like-illness (ILI) and inpatients with severe acute respiratory illness (SARI) presenting at selected sentinel sites in Niger from April 2009 through April 2013.MethodsPatients meeting the ILI or the SARI case definitions and presenting at the outpatient or inpatient departments of selected sentinel sites were enrolled. Epidemiological data and nasopharyngeal swabs were collected. The respiratory samples were tested by real-time reverse transcription polymerase chain reaction.ResultsFrom April 2009 to April 2013, laboratory results were obtained from 1176 ILI and 952 SARI cases, of which 146 (12%) and 54 (6%) tested positive for influenza virus, respectively. The influenza positivity rate was highest in the 5-14 year age-group (32/130; 24% among ILI patients and 6/61; 10% among SARI patients) followed by the 1-4 year age-group (69/438; 16% among ILI patients and 32/333; 9% among SARI patients). Of the 200 influenza positive cases 104 (52%) were A(H1N1)pdm09, 62 (31%) were A(H3N2) and 34 (17%) were B. Influenza viruses were detected predominantly from November to April with peak viral activity observed in February.ConclusionsThe Niger sentinel surveillance system allowed to monitor the circulation of seasonal influenza as well as the introduction and spread of influenza A(H1N1)pdm09 in the country. Continuous influenza surveillance is needed to better understand the epidemiology of seasonal influenza and monitor the emergence of influenza strains with pandemic potential.

Estimating influenza vaccine effectiveness in Spain using sentinel surveillance data.

We aimed to estimate influenza vaccine effectiveness (VE) against laboratory-confirmed influenza during three influenza seasons (2010/11 to 2012/2013) in Spain using surveillance data and to compare the results with data obtained by the cycEVA study, the Spanish component of the Influenza Monitoring Vaccine Effectiveness (I-MOVE) network. We used the test-negative case–control design, with data from the Spanish Influenza Sentinel Surveillance System (SISS) or from the cycEVA study. Cases were laboratory-confirmed influenza patients with the predominant influenza virus of each season, and controls were those testing negative for any influenza virus. We calculated the overall and age-specific adjusted VE. Although the number of patients recorded in the SISS was three times higher than that in the cycEVA study, the quality of information for important variables, i.e. vaccination status and laboratory results, was high in both studies. Overall, the SISS and cycEVA influenza VE estimates were largely similar during the study period. For elderly patients (> 59 years), the SISS estimates were slightly lower than those of cycEVA, and estimates for children (0–14 years) were higher using SISS in two of the three seasons studied. Enhancing the SISS by collecting the date of influenza vaccination and reducing the percentage of patients with incomplete information would optimise the system to provide reliable annual influenza VE estimates to guide influenza vaccination policies.

Implementation of influenza-like illness sentinel surveillance in Togo.

BackgroundThe emergence of avian influenza A/H5N1 in 2003 as well as the pandemic influenza A (H1N1) pdm09 highlighted the need to establish influenza sentinel surveillance in Togo. The Ministry of Health decided to introduce Influenza to the list of diseases with epidemic potential. By April 2010, Togo was actively involved in influenza surveillance. This study aims to describe the implementation of ILI surveillance and results obtained from April 2010 to December 2012.MethodsTwo sites were selected based on their accessibility and affordability to patients, their adequate specimen storage capacity and transportation system. Patients with ILI presenting at sentinel sites were enrolled by trained medical staff based on the World Health Organization (WHO) case definitions. Oropharyngeal and nasopharyngeal samples were collected and they were tested at the National Influenza Reference Laboratory using a U.S. Centers for Disease Control and Prevention (CDC) validated real time RT-PCR protocol. Laboratory results and epidemiological data were reported weekly and shared with all sentinel sites, Ministry of Health, Division of Epidemiology, WHO and CDC/NAMRU-3.ResultsFrom April 2010 to December 2012, a total of 955 samples were collected with 52% of the study population aged between 0 and 4 years. Of the 955 samples, 236 (24.7%) tested positive for influenza viruses; with 136 (14.2%) positive for influenza A and 100 (10.5%) positive for influenza B. The highest influenza positive percentage (30%) was observed in 5–14 years old and patients aged 0–4 and >60 years had the lowest percentage (20%). Clinical symptoms such as cough and rhinorrhea were associated more with ILI patients who were positive for influenza type A than influenza type B. Influenza viruses circulated throughout the year with the positivity rate peaking around the months of January, May and again in October; corresponding respectively to the dry-dusty harmattan season and the long and then the short raining season. The pandemic A (H1N1) pdm09 was the predominantly circulating strain in 2010 while influenza B was the predominantly circulating strain in 2011. The seasonal A/H3N2 was observed throughout 2012 year.ConclusionsThis study provides information on influenza epidemiology in the capital city of Togo.