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      Clinical surveillance of the influenza A(H1N1)2009 pandemic through the network of sentinel general practitioners

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          Abstract

          Introduction Since the 1950s, sentinel surveillance networks with general practitioners (GPs) have been progressively implemented and involved in influenza surveillance, e.g. in the UK, the Netherlands, Belgium, France, Portugal and Spain. Since 1988, several collaborative European studies with sentinel networks aimed at stimulating influenza surveillance all over Europe and harmonising the surveillance activities [1-3]. In Belgium, a sentinel network specifically dedicated to influenza surveillance, with the participation of about 40 GPs, was initiated in 1985 [4,5] and has participated in various European influenza related projects. Since autumn 2007, this network is integrated into the network of the Sentinel General Practitioners (SGPs) existing since 1979 and responsible for the surveillance of many other health problems [6-8]. Since then, the SGPs have been continuously involved in the clinical and virological influenza surveillance [9]. As the SGPs network is not appropriate for the detection of sporadic cases, during the containment phase of the A(H1N1)2009 (from week 14 till week 28), a comprehensive surveillance of all suspected cases of A(H1N1)2009 virus among travellers returning from the USA, Mexico or other countries at risk, was carried out by all Belgian physicians. As of week 29, the start of the mitigation phase, the SGPs were the most important tool for the clinical as well as the virological influenza surveillance. The latter was reinforced with the purpose of following up the A(H1N1)2009 virus circulation in the general population [10]. The main purposes of this influenza surveillance are the early detection of an influenza epi-demic, the study of the intensity and duration of the epidemic and the identification of the circulating viruses. The virological surveillance component is outlined elsewhere in this issue [10]. This article details the clinical surveillance activities of the SGPs from week 14, at the appearance of the A(H1N1)2009 virus, until week 53 of 2009. Method The SGPs are a nationwide sentinel surveillance network of about 160 voluntarily participating GPs homogeneously spread over the country. They are as representative as possible of all GPs in Belgium [11]. Besides the number of acute respiratory infections by age group, the GPs reported weekly, on a standardised paper form, every patient with an influenza-like illness (ILI). The general criteria for ILI were: sudden onset of symptoms, high fever, respiratory (i.e. cough, sore throat) and systemic symptoms (headache, muscular pain). For every patient, age group (< 5, 5-14, 15-64, 65-84, 85+), hospitalisation, antiviral treatment (as of week 35), delivery of absence from work certificate, and seasonal and pandemic vaccination status (as of week 42) were recorded. Reported ILIs were analysed on a weekly basis for inclusion in the "Weekly Epidemiological Report Influenza" [12]. This included the weekly reported incidence of ILI for the whole country, the three regions and separate age groups, as well as the weekly reported incidence of ILI-related hospitalisations, of ILI patients who have had antiviral treatment or have been vaccinated for seasonal flu for separate age groups and of ILI patients for whom work certificates were provided. The estimated number of A(H1N1)2009 related cases in the general population was also included in the weekly report. The latter was derived from the percentage of A(H1N1)2009-positive ILI cases. Data management, statistical analysis and reporting were carried out by the Scientific Institute of Public Health (WIV-ISP), using STATA Version 10 and LaTeX Project software. Data on vaccination status and work certificates are not presented in this article. For practical reasons, the data of week 52 and week 53 were analysed together. Since no patient lists per GP exist in Belgium, the average population coverage per GP was estimated on the basis of the total Belgian population, divided by the total number of practising GPs in the country. The latter was based on figures from the National Institute of Sickness and Invalidity Insurance (NISII) [11]. Thus, the average population coverage per GP was estimated at 953 inhabitants per GP. The weekly global population coverage was derived from the total number of participating GPs multiplied by 953. The age distribution of this estimated population was assumed to be similar to the national population. A baseline threshold was calculated using the Moving Epidemics Method (MEM) proposed by the European Influenza Surveillance Scheme (EISS) baseline working group [13]. In principle, each influenza season is mathematically divided into a pre-epidemic, epidemic and a post-epidemic period. The proposed baseline threshold is then calculated, i.e. the upper 95% confidence limit of the geometric mean of the peak pre-epidemic values. The baseline threshold calculation was based on 5 peak values per influenza season, in 9 historical seasons 2000/01-2008/09. The baseline threshold is a conservative value that demarcates the start of the influenza epidemic. When the weekly incidence rate drops below the post-epidemic baseline, the epidemic period is considered to have come to an end. For practical purposes, the pre- and post-epidemic baseline values were considered the same. Based on this model and using two-sided tests, the baseline threshold was estimated at 141.37 ILI patients seen in general practice per 100,000 inhabitants per week. In the framework of this surveillance, the criteria used to define the epidemic influenza period were: weekly incidence rate of ILI patients seen in general practice above the baseline threshold; > 20% positive specimens among nasopharyngeal swabs taken in ILI patients; and signs of influenza activity in neighbouring countries. Results In the period from week 14 until week 53, between 111 and 162 GPs participated in the weekly clinical influenza surveillance. The weekly incidence of ILI patients seen in general practice per 100,000 inhabitants exceeded the baseline threshold for the first time in week 40 (beginning of October 2009) with an incidence of 173/100,000 inhabitants (95% CI: 152-196). The incidence rate remained above the baseline threshold until week 49 (at the beginning of December). According to the above-mentioned criteria the influenza epidemic period lasted 10 weeks, from the beginning of October until the beginning of December. The epidemic peaked in week 44, with an incidence of 769/100,000 inhabitants (95%CI: 725-815). This peak value is significantly lower (p < 0.05) than the A(H3N2) seasonal peak in week 4 of 2009 (844/100,000 inhabitants (95%CI: 808-880). The peak value in week 44 coincided with a peak in the percentage of A(H1N1)2009 virus-positive swabs [10]. Based on this percentage the extrapolated number of A(H1N1)2009 cases in the general population in week 44 was estimated at 46,848 (95% CI:43,331-50,641). Figure 1 Sentinel General Practitioners, incidence of ILI patients in general practice, 2009. In the course of this epidemic period, the most affected age group was the 5-14-year olds, followed by the < 5-year olds. People aged 65 years and above were considerably less affected. Figure 2 Sentinel General Practitioners, incidence of ILI patients in general practice by age group, 2009. In the course of the epidemic period between week 40 and 49, the weekly hospitalisation rate for ILI patients seen in general practice fluctuated between 0 and 2%. The weekly percentage of ILI patients with antiviral treatment, recorded as of week 35, varied between 1 and 13%. Discussion The network of SGPs has proven to be an important source of information in the influenza surveillance of the A(H1N1)2009. The SGPs provided information on the start, the duration and the peak of the epidemic period. Most of the affected persons were children aged < 15 years. Few ILI patients seen in general practice were hospitalised or got antiviral treatment. Table 1 Sentinel General Practitioners, ILI patients with antiviral treatment by age group, 2009 Week 0-4 5-14 15-64 65-84 85+ tot # #t % # #t % # #t % # #t % # #t % # #t % 2009w35 6 0 0 11 0 0 71 1 1 5 0 0 2 0 0 95 1 1 2009w36 7 0 0 12 1 8 84 10 12 4 1 25 0 0 107 12 11 2009w37 12 1 8 22 0 0 115 6 5 10 1 10 0 0 159 8 5 2009w38 10 1 10 31 2 6 120 7 6 9 1 11 2 0 0 172 11 6 2009w39 15 1 7 39 0 0 159 8 5 13 2 15 1 0 0 227 11 5 2009w40 16 0 0 38 0 0 188 9 5 11 2 18 1 0 0 254 11 4 2009w41 21 3 14 67 1 1 238 19 8 13 3 23 1 0 0 340 26 8 2009w42 45 8 18 151 5 3 340 22 6 20 2 10 2 0 0 558 37 7 2009w43 67 5 7 328 27 8 573 61 11 32 4 13 2 0 0 1002 97 10 2009w44 107 8 7 346 9 3 637 39 6 35 3 9 3 0 0 1128 59 5 2009w45 97 4 4 202 5 2 456 26 6 22 4 18 2 1 50 779 40 5 2009w46 40 5 13 116 4 3 348 18 5 20 3 15 1 0 0 525 30 6 2009w47 44 6 14 82 3 4 265 11 4 12 0 0 1 0 0 405 20 5 2009w48 46 0 0 76 3 4 191 9 5 18 5 28 1 0 0 332 17 5 2009w49 26 2 8 46 1 2 127 4 3 15 1 7 4 0 0 219 8 4 2009w50 17 2 12 38 0 0 122 6 5 13 1 8 1 0 0 191 9 5 2009w51 19 4 21 9 1 11 85 11 13 9 0 0 2 0 0 124 16 13 2009w52 6 0 0 10 0 0 89 2 2 31 2 6 2 0 0 138 4 3 # = number of ILIs reported; #t = number of ILI patients treated with antivirals reported; % = percentage of ILI patients treated with antivirals (#/100 ILIs) Strengths of the SGPs' influenza surveillance The SGPs have a long experience in public health surveillance. The highly motivated partici-pating GPs are a guarantee for the quality of the participation and of the recorded data. The clinical influenza surveillance data are corroborated by the virological data originating from the same patients [10]. The continuous weekly influenza monitoring year after year enables to respond to the influenza surveillance purposes previously outlined and to compare consecutive influenza seasons as to the intensity and duration of the epidemics and the type of circulating viruses. Weaknesses One weakness is the denominator problem caused by the absence of patient lists per GP. Only a crude estimation of the denominator population can be made. Further, sensitivity or completeness of the ILI recording is hampered by the fact that the surveillance only concerns patients visiting the GP and does not include ILI patients visiting other health care providers or not consulting at all. Both weaknesses, however, do not hamper studying the trend in ILI incidence. Finally, the weekly reporting frequency hinders the daily follow-up of the situation, desirable in an epidemic period. This does not refrain the SGPs from playing a crucial role in the clinical as well as in the virological influenza surveillance in this A(H1N1)2009 pandemic.

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          Most cited references6

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          Influenza activity in Europe during eight seasons (1999–2007): an evaluation of the indicators used to measure activity and an assessment of the timing, length and course of peak activity (spread) across Europe

          Background The European Influenza Surveillance Scheme (EISS) has collected clinical and virological data on influenza since 1996 in an increasing number of countries. The EISS dataset was used to characterise important epidemiological features of influenza activity in Europe during eight winters (1999–2007). The following questions were addressed: 1) are the sentinel clinical reports a good measure of influenza activity? 2) how long is a typical influenza season in Europe? 3) is there a west-east and/or south-north course of peak activity ('spread') of influenza in Europe? Methods Influenza activity was measured by collecting data from sentinel general practitioners (GPs) and reports by national reference laboratories. The sentinel reports were first evaluated by comparing them to the laboratory reports and were then used to assess the timing and spread of influenza activity across Europe during eight seasons. Results We found a good match between the clinical sentinel data and laboratory reports of influenza collected by sentinel physicians (overall match of 72% for +/- 1 week difference). We also found a moderate to good match between the clinical sentinel data and laboratory reports of influenza from non-sentinel sources (overall match of 60% for +/- 1 week). There were no statistically significant differences between countries using ILI (influenza-like illness) or ARI (acute respiratory disease) as case definition. When looking at the peak-weeks of clinical activity, the average length of an influenza season in Europe was 15.6 weeks (median 15 weeks; range 12–19 weeks). Plotting the peak weeks of clinical influenza activity reported by sentinel GPs against the longitude or latitude of each country indicated that there was a west-east spread of peak activity (spread) of influenza across Europe in four winters (2001–2002, 2002–2003, 2003–2004 and 2004–2005) and a south-north spread in three winters (2001–2002, 2004–2005 and 2006–2007). Conclusion We found that: 1) the clinical data reported by sentinel physicians is a valid indicator of influenza activity; 2) the length of influenza activity across the whole of Europe was surprisingly long, ranging from 12–19 weeks; 3) in 4 out of the 8 seasons, there was a west-east spread of influenza, in 3 seasons a south-north spread; not associated with type of dominant virus in those seasons.
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            Tool for validation of the network of sentinel general practitioners in the Belgian health care system.

            Morbidity registration by a network of sentinel general practitioners (SGPs) in Belgium raises a number of problems related to possible biases in the network procedure, such as unequal geographical distribution, non-participation of a segment of the target population of practitioners and difficulties in the estimation of the denominator population at risk for the health problems under study. Through the application of two hierarchical clustering procedures, the initial number of 43 districts in the country has been reduced to 15 homogeneous district clusters. These represent the new geographical framework from which the geographical spread of the network is checked. This network is subsequently corrected for such socio-demographic parameters as age, sex and occupation in order to match more closely the total population of Belgian general practitioners (GPs). The population covered by the network is estimated on the basis of the annual number of patient contacts. Application of the described procedures should result in a network allowing valid estimations for a number of health issues as seen by Belgian GPs.
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              Five years of sentinel surveillance of acute respiratory infections (1985-1990): the benefits of an influenza early warning system.

              For the last five years, the Brussels Institute of Hygiene and Epidemiology has been involved in the surveillance of acute respiratory infections (ARI). The four indicators used (number of encounters of ARI by GP's/100 encounters, virus isolations, absenteeism and mortality) are discussed. A regression procedure is applied to the data collected by a sentinel network of general practitioners (GP's). This procedure permits the baseline to be visualized and an epidemic threshold to be determined in order to recognize early an influenza outbreak. The traditional use of flu-like illnesses as an indicator might be improved by the addition of non-specific ARI which are more precocious, especially in children. The criteria for an accurate definition of an influenza epidemic are discussed. The same mathematical model can be used for the analysis of mortality linked with an outbreak. It shows that the last epidemic in the winter 1989-1990 was responsible for about 4900 deaths directly or indirectly related to influenza.
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                Author and article information

                Journal
                Arch Public Health
                Arch Public Health
                Archives of Public Health
                BioMed Central
                0778-7367
                2049-3258
                2010
                20 August 2010
                : 68
                : 2
                : 62-67
                Affiliations
                [1 ]Scientific Institute of Public Health, Brussels, Belgium
                Article
                0778-7367-68-2-62
                10.1186/0778-7367-68-2-62
                3463021
                7a15e7f4-8054-4957-b07a-a01fadf10c63
                Copyright ©2010 Van Casteren et al.
                History
                Categories
                Research

                Public health
                family practice,influenza a virus,sentinel surveillance,influenza,h1n1 subtype
                Public health
                family practice, influenza a virus, sentinel surveillance, influenza, h1n1 subtype

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