Overview of the winter wave of 2009 pandemic influenza A(H1N1)v in Vojvodina, Serbia
Identifieur interne : 000990 ( Pmc/Corpus ); précédent : 000989; suivant : 000991Overview of the winter wave of 2009 pandemic influenza A(H1N1)v in Vojvodina, Serbia
Auteurs : Vladimir Petrovi ; Zorica Šeguljev ; Gorana Osi ; Mioljub Risti ; Jasminka Nedeljkovi ; Nataša Dragni ; Snežana UkropinaSource :
- Croatian Medical Journal [ 0353-9504 ] ; 2011.
Abstract
To analyze the epidemiological data for pandemic influenza A(H1N1)v in the Autonomous Province of Vojvodina, Serbia, during the season of 2009/2010 and to assess whether including severe acute respiratory illness (SARI) hospitalization data to the surveillance system gives a more complete picture of the impact of influenza during the pandemic.
From September 2009 to September 2010, the Institute of Public Health of Vojvodina conducted sentinel surveillance of influenza-like illnesses and acute respiratory infections in all hospitalized patients with SARI and virological surveillance of population of Vojvodina according to the European Centers for Disease Control technical document.
The pandemic influenza outbreak in the province started in October 2009 (week 44) in students who had returned from a school-organized trip to Prague, Bratislava, and Vienna. The highest incidence rate was 1090 per 100 000 inhabitants, found in the week 50. The most affected age group were children 5-14 years old. A total of 1591 patients with severe illness were admitted to regional hospitals, with a case fatality rate of 2%, representing a hospitalization rate of 78.3 per 100 000 inhabitants and a mortality rate of 1.6 per 100 000. Most frequently hospitalized were 15-19 years old patients, male patients, and patients with pneumonia (
Sentinel influenza-like illness and SARI surveillance, both followed with virological surveillance, seem to be the optimal method to monitor the full scope of the influenza pandemic (from mild to severe influenza) in Vojvodina.
Url:
DOI: 10.3325/cmj.2011.52.141
PubMed: 21495196
PubMed Central: 3081212
Links to Exploration step
PMC:3081212Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Overview of the winter wave of 2009 pandemic influenza A(H1N1)v in Vojvodina, Serbia</title><author><name sortKey="Petrovi, Vladimir" sort="Petrovi, Vladimir" uniqKey="Petrovi V" first="Vladimir" last="Petrovi">Vladimir Petrovi</name><affiliation><nlm:aff id="aff1">Autonomous Province of Vojvodina, Provincial Secretariat for Health, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Seguljev, Zorica" sort="Seguljev, Zorica" uniqKey="Seguljev Z" first="Zorica" last="Šeguljev">Zorica Šeguljev</name><affiliation><nlm:aff id="aff2">Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey=" Osi, Gorana" sort=" Osi, Gorana" uniqKey=" Osi G" first="Gorana" last=" Osi">Gorana Osi</name><affiliation><nlm:aff id="aff2">Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Risti, Mioljub" sort="Risti, Mioljub" uniqKey="Risti M" first="Mioljub" last="Risti">Mioljub Risti</name><affiliation><nlm:aff id="aff2">Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Nedeljkovi, Jasminka" sort="Nedeljkovi, Jasminka" uniqKey="Nedeljkovi J" first="Jasminka" last="Nedeljkovi">Jasminka Nedeljkovi</name><affiliation><nlm:aff id="aff3">Institute of Vaccines, Virology and Sera, Torlak, Belgrade, Serbia</nlm:aff></affiliation></author><author><name sortKey="Dragni, Natasa" sort="Dragni, Natasa" uniqKey="Dragni N" first="Nataša" last="Dragni">Nataša Dragni</name><affiliation><nlm:aff id="aff4">Institute of Public Health of Vojvodina, Center for Biostatistics and Informatics, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Ukropina, Snezana" sort="Ukropina, Snezana" uniqKey="Ukropina S" first="Snežana" last="Ukropina">Snežana Ukropina</name><affiliation><nlm:aff id="aff5">Institute of Public Health of Vojvodina, Center for Health Promotion, Novi Sad, Serbia</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21495196</idno><idno type="pmc">3081212</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3081212</idno><idno type="RBID">PMC:3081212</idno><idno type="doi">10.3325/cmj.2011.52.141</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">000990</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000990</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Overview of the winter wave of 2009 pandemic influenza A(H1N1)v in Vojvodina, Serbia</title><author><name sortKey="Petrovi, Vladimir" sort="Petrovi, Vladimir" uniqKey="Petrovi V" first="Vladimir" last="Petrovi">Vladimir Petrovi</name><affiliation><nlm:aff id="aff1">Autonomous Province of Vojvodina, Provincial Secretariat for Health, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Seguljev, Zorica" sort="Seguljev, Zorica" uniqKey="Seguljev Z" first="Zorica" last="Šeguljev">Zorica Šeguljev</name><affiliation><nlm:aff id="aff2">Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey=" Osi, Gorana" sort=" Osi, Gorana" uniqKey=" Osi G" first="Gorana" last=" Osi">Gorana Osi</name><affiliation><nlm:aff id="aff2">Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Risti, Mioljub" sort="Risti, Mioljub" uniqKey="Risti M" first="Mioljub" last="Risti">Mioljub Risti</name><affiliation><nlm:aff id="aff2">Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Nedeljkovi, Jasminka" sort="Nedeljkovi, Jasminka" uniqKey="Nedeljkovi J" first="Jasminka" last="Nedeljkovi">Jasminka Nedeljkovi</name><affiliation><nlm:aff id="aff3">Institute of Vaccines, Virology and Sera, Torlak, Belgrade, Serbia</nlm:aff></affiliation></author><author><name sortKey="Dragni, Natasa" sort="Dragni, Natasa" uniqKey="Dragni N" first="Nataša" last="Dragni">Nataša Dragni</name><affiliation><nlm:aff id="aff4">Institute of Public Health of Vojvodina, Center for Biostatistics and Informatics, Novi Sad, Serbia</nlm:aff></affiliation></author><author><name sortKey="Ukropina, Snezana" sort="Ukropina, Snezana" uniqKey="Ukropina S" first="Snežana" last="Ukropina">Snežana Ukropina</name><affiliation><nlm:aff id="aff5">Institute of Public Health of Vojvodina, Center for Health Promotion, Novi Sad, Serbia</nlm:aff></affiliation></author></analytic><series><title level="j">Croatian Medical Journal</title><idno type="ISSN">0353-9504</idno><idno type="eISSN">1332-8166</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Aim</title><p>To analyze the epidemiological data for pandemic influenza A(H1N1)v in the Autonomous Province of Vojvodina, Serbia, during the season of 2009/2010 and to assess whether including severe acute respiratory illness (SARI) hospitalization data to the surveillance system gives a more complete picture of the impact of influenza during the pandemic.</p></sec><sec><title>Methods</title><p>From September 2009 to September 2010, the Institute of Public Health of Vojvodina conducted sentinel surveillance of influenza-like illnesses and acute respiratory infections in all hospitalized patients with SARI and virological surveillance of population of Vojvodina according to the European Centers for Disease Control technical document.</p></sec><sec><title>Results</title><p>The pandemic influenza outbreak in the province started in October 2009 (week 44) in students who had returned from a school-organized trip to Prague, Bratislava, and Vienna. The highest incidence rate was 1090 per 100 000 inhabitants, found in the week 50. The most affected age group were children 5-14 years old. A total of 1591 patients with severe illness were admitted to regional hospitals, with a case fatality rate of 2%, representing a hospitalization rate of 78.3 per 100 000 inhabitants and a mortality rate of 1.6 per 100 000. Most frequently hospitalized were 15-19 years old patients, male patients, and patients with pneumonia (<italic>P</italic> < 0.001). The highest case fatality rate was found among patients with acute respiratory distress syndrome (<italic>P</italic> < 0.001). Nasal/throat swabs were obtained for polymerase chain reaction test from 315 hospitalized patients and 20 non-hospitalized patients, and 145 (46%) and 15 (75%) specimens, respectively, tested positive on A(H1N1)v.</p></sec><sec><title>Conclusion</title><p>Sentinel influenza-like illness and SARI surveillance, both followed with virological surveillance, seem to be the optimal method to monitor the full scope of the influenza pandemic (from mild to severe influenza) in Vojvodina.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Loncarevic, G" uniqKey="Loncarevic G">G Loncarevic</name></author><author><name sortKey="Payne, L" uniqKey="Payne L">L Payne</name></author><author><name sortKey="Kon, P" uniqKey="Kon P">P Kon</name></author><author><name sortKey="Petrovic, V" uniqKey="Petrovic V">V Petrovic</name></author><author><name sortKey="Dimitrijevic, D" uniqKey="Dimitrijevic D">D Dimitrijevic</name></author><author><name sortKey="Knezevic, T" uniqKey="Knezevic T">T Knezevic</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Aguilera, Jf" uniqKey="Aguilera J">JF Aguilera</name></author><author><name sortKey="Paget, Wj" uniqKey="Paget W">WJ Paget</name></author><author><name sortKey="Mosnier, A" uniqKey="Mosnier A">A Mosnier</name></author><author><name sortKey="Heijnen, Ml" uniqKey="Heijnen M">ML Heijnen</name></author><author><name sortKey="Uphoff, H" uniqKey="Uphoff H">H Uphoff</name></author><author><name sortKey="Van Der Velden, J" uniqKey="Van Der Velden J">J van der Velden</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Van T Klooster, Tm" uniqKey="Van T Klooster T">TM van 't Klooster</name></author><author><name sortKey="Wielders, Cc" uniqKey="Wielders C">CC Wielders</name></author><author><name sortKey="Donker, T" uniqKey="Donker T">T Donker</name></author><author><name sortKey="Isken, L" uniqKey="Isken L">L Isken</name></author><author><name sortKey="Meijer, A" uniqKey="Meijer A">A Meijer</name></author><author><name sortKey="Van Den Wijngaard, Cc" uniqKey="Van Den Wijngaard C">CC van den Wijngaard</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Carrat, F" uniqKey="Carrat F">F Carrat</name></author><author><name sortKey="Tachet, A" uniqKey="Tachet A">A Tachet</name></author><author><name sortKey="Rouzioux, C" uniqKey="Rouzioux C">C Rouzioux</name></author><author><name sortKey="Housset, B" uniqKey="Housset B">B Housset</name></author><author><name sortKey="Valleron, Aj" uniqKey="Valleron A">AJ Valleron</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Baker, Mg" uniqKey="Baker M">MG Baker</name></author><author><name sortKey="Wilson, N" uniqKey="Wilson N">N Wilson</name></author><author><name sortKey="Huang, Qs" uniqKey="Huang Q">QS Huang</name></author><author><name sortKey="Paine, S" uniqKey="Paine S">S Paine</name></author><author><name sortKey="Lopez, L" uniqKey="Lopez L">L Lopez</name></author><author><name sortKey="Bandaranayake, D" uniqKey="Bandaranayake D">D Bandaranayake</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dawood, Fs" uniqKey="Dawood F">FS Dawood</name></author><author><name sortKey="Jain, S" uniqKey="Jain S">S Jain</name></author><author><name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name></author><author><name sortKey="Shaw, Mw" uniqKey="Shaw M">MW Shaw</name></author><author><name sortKey="Lindstrom, S" uniqKey="Lindstrom S">S Lindstrom</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Cullen, G" uniqKey="Cullen G">G Cullen</name></author><author><name sortKey="Martin, J" uniqKey="Martin J">J Martin</name></author><author><name sortKey="O Donnell, J" uniqKey="O Donnell J">J O'Donnell</name></author><author><name sortKey="Boland, M" uniqKey="Boland M">M Boland</name></author><author><name sortKey="Canny, M" uniqKey="Canny M">M Canny</name></author><author><name sortKey="Keane, E" uniqKey="Keane E">E Keane</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Baker, M" uniqKey="Baker M">M Baker</name></author><author><name sortKey="Kelly, H" uniqKey="Kelly H">H Kelly</name></author><author><name sortKey="Wilson, N" uniqKey="Wilson N">N. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Croat Med J</journal-id><journal-id journal-id-type="publisher-id">CMJ</journal-id><journal-title-group><journal-title>Croatian Medical Journal</journal-title></journal-title-group><issn pub-type="ppub">0353-9504</issn><issn pub-type="epub">1332-8166</issn><publisher><publisher-name>Croatian Medical Schools</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">21495196</article-id><article-id pub-id-type="pmc">3081212</article-id><article-id pub-id-type="publisher-id">CroatMedJ_52_0141</article-id><article-id pub-id-type="doi">10.3325/cmj.2011.52.141</article-id><article-categories><subj-group subj-group-type="heading"><subject>Pandemic Influenza</subject></subj-group></article-categories><title-group><article-title>Overview of the winter wave of 2009 pandemic influenza A(H1N1)v in Vojvodina, Serbia</article-title><alt-title alt-title-type="running-head">Petrović et al: Pandemic influenza in Vojvodina</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Petrović</surname><given-names>Vladimir</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Šeguljev</surname><given-names>Zorica</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ćosić</surname><given-names>Gorana</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ristić</surname><given-names>Mioljub</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Nedeljković</surname><given-names>Jasminka</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Dragnić</surname><given-names>Nataša</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ukropina</surname><given-names>Snežana</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><aff id="aff1"><label>1</label>Autonomous Province of Vojvodina, Provincial Secretariat for Health, Novi Sad, Serbia</aff><aff id="aff2"><label>2</label>Institute of Public Health of Vojvodina, Center for Disease Control and Prevention, Novi Sad, Serbia</aff><aff id="aff3"><label>3</label>Institute of Vaccines, Virology and Sera, Torlak, Belgrade, Serbia</aff><aff id="aff4"><label>4</label>Institute of Public Health of Vojvodina, Center for Biostatistics and Informatics, Novi Sad, Serbia</aff><aff id="aff5"><label>5</label>Institute of Public Health of Vojvodina, Center for Health Promotion, Novi Sad, Serbia</aff></contrib-group><author-notes><corresp id="cor1">Correspondence to:
Vladimir Petrović
Autonomous Province of Vojvodina, Provincial Secretariat for Health
Boulevard Mihajla Pupina 16
21000 Novi Sad, Serbia
<italic><email xlink:href="vladimir.petrovic@vojvodina.gov.rs">vladimir.petrovic@vojvodina.gov.rs</email></italic></corresp></author-notes><pub-date pub-type="ppub"><month>4</month><year>2011</year></pub-date><volume>52</volume><issue>2</issue><fpage>141</fpage><lpage>150</lpage><history><date date-type="received"><day>28</day><month>10</month><year>2010</year></date><date date-type="accepted"><day>15</day><month>2</month><year>2011</year></date></history><permissions><copyright-statement>Copyright © 2011 by the Croatian Medical Journal. All rights reserved.</copyright-statement><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec><title>Aim</title><p>To analyze the epidemiological data for pandemic influenza A(H1N1)v in the Autonomous Province of Vojvodina, Serbia, during the season of 2009/2010 and to assess whether including severe acute respiratory illness (SARI) hospitalization data to the surveillance system gives a more complete picture of the impact of influenza during the pandemic.</p></sec><sec><title>Methods</title><p>From September 2009 to September 2010, the Institute of Public Health of Vojvodina conducted sentinel surveillance of influenza-like illnesses and acute respiratory infections in all hospitalized patients with SARI and virological surveillance of population of Vojvodina according to the European Centers for Disease Control technical document.</p></sec><sec><title>Results</title><p>The pandemic influenza outbreak in the province started in October 2009 (week 44) in students who had returned from a school-organized trip to Prague, Bratislava, and Vienna. The highest incidence rate was 1090 per 100 000 inhabitants, found in the week 50. The most affected age group were children 5-14 years old. A total of 1591 patients with severe illness were admitted to regional hospitals, with a case fatality rate of 2%, representing a hospitalization rate of 78.3 per 100 000 inhabitants and a mortality rate of 1.6 per 100 000. Most frequently hospitalized were 15-19 years old patients, male patients, and patients with pneumonia (<italic>P</italic> < 0.001). The highest case fatality rate was found among patients with acute respiratory distress syndrome (<italic>P</italic> < 0.001). Nasal/throat swabs were obtained for polymerase chain reaction test from 315 hospitalized patients and 20 non-hospitalized patients, and 145 (46%) and 15 (75%) specimens, respectively, tested positive on A(H1N1)v.</p></sec><sec><title>Conclusion</title><p>Sentinel influenza-like illness and SARI surveillance, both followed with virological surveillance, seem to be the optimal method to monitor the full scope of the influenza pandemic (from mild to severe influenza) in Vojvodina.</p></sec></abstract></article-meta></front><body><p>In April 2009, a new influenza virus of swine origin was identified in Mexico and the United States. Since then, widespread community transmission of the virus has been confirmed on all continents, and the World Health Organization (WHO) announced a global influenza pandemic (<xref ref-type="bibr" rid="R1">1</xref>).</p><p>In May 2009, Serbia implemented enhanced national surveillance of influenza A(H1N1)v according to the WHO pandemic plans. The national guidelines on requirements and procedures for reporting individual cases of influenza A(H1N1)v using WHO case definition were created on April 27, 2009. Every individual suspicious case was daily reported by the district Institute of Public Health to the national Institute of Public Health. The results of laboratory testing were daily reported by The National Virology Reference Laboratory. Confirmed and possible cases were categorized as travel-related or domestic (<xref ref-type="bibr" rid="R2">2</xref>,<xref ref-type="bibr" rid="R3">3</xref>).</p><p>The first case of pandemic influenza A(H1N1)v in Vojvodina was registered on June 24, 2009. Till August 17, 123 pandemic influenza A(H1N1)v cases were registered and 61/113 (54%) were confirmed by reverse transcription polymerase chain reaction in the reference laboratory. The majority of cases (73%) were imported during the EXIT international music festival. These cases were registered among domestic population epidemiologically linked to the music festival. Some of the cases did not meet the definition of suspicious cases, which means that there were unrecognized cases and that further transmission of pandemic influenza A(H1N1)v was inevitable (<xref ref-type="bibr" rid="R3">3</xref>).</p><p>At the end of October 2009, the mandatory outbreak investigation of acute respiratory illness detected new cases of pandemic influenza A(H1N1)v among students who had returned from school-organized trips to Prague, Bratislava, and Vienna. This was considered the beginning of the outbreak in the season of 2009/10.</p><p>This article focuses on the winter wave of pandemic influenza A(H1N1)v in the Autonomous Province of Vojvodina, northern Serbia, with 2 million inhabitants. We present the outpatient (community) data provided by the sentinel physicians and inpatient data provided by hospitals.</p><sec sec-type="methods"><title>Methods</title><p>Pandemic influenza A(H1N1)v surveillance in Vojvodina, Serbia, during the fall and winter 2009/10 was conducted according to European Centers for Disease Control technical document issued in September 2009 (<xref ref-type="bibr" rid="R4">4</xref>). Data for this observational study were obtained from the sentinel surveillance of influenza-like illness (ILI) and acute respiratory infections (ARI), surveillance of all hospitalized severe acute respiratory illness (SARI) cases, and virological surveillance among the population of Vojvodina.</p><sec><title>Sentinel surveillance of ILI and ARI</title><p>Sentinel surveillance in Vojvodina first started in the season of 2004/05 and closely relied on the Slovenian surveillance program (<xref ref-type="bibr" rid="R5">5</xref>). While the sentinel surveillance is usually conducted from the first week in November to the end of April, during the season 2009/10 it was conducted from September 2009 to September 2010. The involved 103 sentinel physicians were general practitioners and pediatricians from 19 health centers covering municipalities with more than 30 000 inhabitants. The sentinel physicians were selected according to the number of contracts with the inhabitants who chose them as personal physicians. Of the total population of Vojvodina of 2 031 992 according to 2002 census, 102 723 people or 5.1% were monitored. Sentinel physicians tracked cases of ILI and ARI in the age groups 0-4, 5-14, 15-64, and older than 65 years. The number of inhabitants under surveillance (102,723) was used as a denominator for calculation of the weekly incidence of ILI and ARI and for the cumulative incidence for the whole observed period. However, if a sentinel physician did not send a report in a week, the denominator in that week was decreased for the number of inhabitants monitored by the physician without monitoring the registered cases.</p><p>Sentinel physicians sent weekly reports (every Monday for the previous week) on the number of cases in each age group to the sentinel surveillance coordinators in district Institutes of Public Health and to the network sentinel surveillance coordinator in the Institute of Public Health of Vojvodina. Weekly incidence rates and age-specific incidence rates were calculated. Geographical spread of the virus and the intensity of ILI and ARI were monitored and compared with the epidemic threshold of incidence of 246.3/100 000 , which was established in the previous 5 sentinel seasons. Weekly incidence of 246.3/100 000 was considered as an influenza activity of medium intensity and as the beginning of the epidemic. Influenza intensity level and virus geographical spread were further determined according to the European Centers for Disease Control technical document (<xref ref-type="bibr" rid="R4">4</xref>). The Institute of Public Health of Vojvodina sent weekly feedback report to coordinators in district Institutes of Public Health, to each sentinel physician, and to the national Institute of Public Health. Every weekly report was published at the Institute of Public Health of Vojvodina Web site.</p></sec><sec><title>ILI and ARI case definition</title><p>ILI is defined as a sudden onset of high fever (above 38°C), followed by myalgia and arthralgia, dry cough, and other symptoms of upper respiratory tract infections (<xref ref-type="bibr" rid="R6">6</xref>). ARI was diagnosed in every case in whom the physician established the following diagnoses (according to International Classification of the Disease, 10th revision): B34, J00, J01.0-J01.9, J02, J04.0-J04.2, J05, J05.0, J06, J06.0, J06.8, J06.9, J12, J12.0, J12.1, J12.2, J12.8, J12.9, J20, J20.3-J20.9, J21, J21.0, J21.8, J21.9, J22.</p></sec><sec><title>SARI surveillance</title><p>SARI surveillance started with the initial SARI case registered (June 2009) and followed up each SARI case till September 2010. According to the national program, every SARI case was hospitalized. Hospital coordinators for SARI surveillance from all 15 acute care hospitals in the province sent daily reports on every hospitalized SARI case to the district Institute of Public Health, such as the date of onset of illness, risk factors (age, asthma, chronic obstructive pulmonary disease, chronic cardiovascular disease without hypertension, obesity regardless of level of obesity, pregnancy, diabetes mellitus, malignancies, chronic neurological disorders, malnutrition, and HIV infection), the length of hospitalization, results of laboratory virology tests, and confirmed influenza-related deaths. Individual reports on hospitalized cases with SARI were registered in a computer database in the district Institutes of Public Health and in the Institute of Public Health of Vojvodina.</p><p>The following SARI case definition was used (<xref ref-type="bibr" rid="R7">7</xref>): <italic>“</italic>A person with ILI and difficulty breathing, demanding hospitalization and/or treatment in intensive care unit with no other etiological agent confirmed was considered to have SARI<italic>.”</italic></p></sec><sec><title>Virological surveillance</title><p>Virological surveillance was conducted in collaboration with sentinel physicians, hospitals, Institutes of Public Health, and the national reference influenza laboratory of the Institute of Virology, Vaccines, and Sera, Torlak, Belgrade. Nasal and throat swabs from sentinel surveillance cases (outpatients) were taken when the definition of ILI was met, at most 2 samples per week from the monitored population in the province. Non-sentinel nasal/throat swabs were taken from patients with SARI (inpatients) in each case of acute respiratory distress syndrome (ARDS) and non-ARDS patients with pneumonia. Both nasal and throat swabs from one patient were placed in the same vial with transport medium and kept on -20°C. Transport of samples was organized by district Institutes of Public Health to the national reference laboratory on a daily basis. Real time reverse transcription polymerase chain reaction was used with Centers for Disease Control (Atlanta, GA, USA) primers and probes using SuperScript III RT/Platinum Taq Mix Stratagene Mx 3005P machine to test the presence of influenza A(H1N1) virus (<xref ref-type="bibr" rid="R8">8</xref>). Results were obtained within a few hours and reported daily according to surveillance hierarchy to the national Institute of Public Health, Institute of Public Health of Vojvodina, district Institutes of Public Health, the sentinel/ hospital physician, and finally to the patient.</p></sec><sec><title>Public health measures</title><p>One of the public health measures undertaken to decrease viral activity and pressure on hospitals was school closure. The measure was undertaken after extra classes had been planned for the rest of the semester to enable the educational authorities to finish the semester.</p><p>Vaccination was also performed, according to the national guidelines made with the recommendation of the WHO (<xref ref-type="bibr" rid="R9">9</xref>), as well as methods of social marketing and health education considering segmented population groups (preschool children, younger and older school children, adults, and elderly people).</p></sec><sec><title>Statistical analysis</title><p>The weekly incidence of ILI and ARI and age-specific incidences for monitored age groups were measured per 100 000 population. The numerator was the number of the clinical cases of ILI and ARI in the total population and in the age groups. The denominator was the whole population monitored in a week and monitored age groups when age-specific incidences were calculated.</p><p>The numerator for the cumulative incidence was all ILI cases in the observed period and the denominator was the monitored population of 102 723 inhabitants.</p><p>The rate of hospitalization was the number of hospitalized patients with SARI divided by the total population of districts and the province, specified by sex and age per 100 000 population, according to 2002 census.</p><p>The mortality rate was the number of deaths divided by the total population of districts and the province specified by sex and age per 100 000 population, according to the census in 2002.</p><p>Case fatality rate (CFR) in hospitalized SARI patients was the proportion of deaths of confirmed cases and the number of hospitalized patients by district, sex, and age. The obtained data were statistically processed using SPSS, version 14.0 (SPSS Inc., Chicago, IL, USA). The results are presented as frequency, percent, and mean ± standard deviation with 95% confidence interval of mean. Difference among incidences was tested by χ<sup>2</sup> test and difference between sample means by <italic>t</italic> test and ANOVA. In post-hoc analysis, we used least significant difference test. Two-tailed <italic>P</italic> values <0.05 were considered to be significant.</p></sec></sec><sec sec-type="results"><title>Results</title><sec><title>Spread of influenza A(H1N1)v</title><p>From October 27 to November 2 (week 44 in 2009), the sentinel surveillance system recorded an increase in the incidence of ILI in Vojvodina, reaching 221/100 000 inhabitants, close to the epidemic threshold (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p><fig id="F1" fig-type="figure" position="float"><label>Figure 1</label><caption><p>Weekly Incidence rates of influenza-like illness and acute respiratory infections in Vojvodina and the number of hospitalized patients, 2009/10 influenza season. Light gray bars – acute respiratory infections; dark gray bars – influenza-like illness; closed bars – number of hospitalized patients; interrupted line – epidemic threshold.</p></caption><graphic xlink:href="CroatMedJ_52_0141-F1"></graphic></fig><p>The epidemic lasted from the week 45 till week 52 of 2009, when the weekly incidence of ILI was above the epidemic threshold. The highest incidence rate was registered in the week 50 of 2009, reaching 1090/100 000. The cumulative incidence rate during the outbreak was 6696.5/100 000. Weekly age specific incidence rates were highest in the age group 5-14 years (<italic>P</italic> < 0.001) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p><fig id="F2" fig-type="figure" position="float"><label>Figure 2</label><caption><p>Age-specific influenza-like illness incidence in Vojvodina during 2009/10 influenza season, based on sentinel surveillance. Light gray line – 0-4 age group, full line – 5-14 age group, dashed line – 15-64 age group, dark gray line – ≥65 years.</p></caption><graphic xlink:href="CroatMedJ_52_0141-F2"></graphic></fig><p>During the last five seasons, influenza epidemics were mild. The highest weekly age-specific incidence of ILI in children 0-14 years old and adults 15-64 years old was registered in 2009/10 pandemic influenza season, while in adults older than 65 years it was registered in 2008/09 influenza season (<xref ref-type="fig" rid="F3">Figure 3</xref>). Cumulative age-specific incidence in adults aged 15-64 years was higher in 2009/10 influenza season than in previous seasons (<xref ref-type="table" rid="T1">Table 1</xref>).</p><fig id="F3" fig-type="figure" position="float"><label>Figure 3</label><caption><p>Age-specific incidence of influenza-like illness per 100 000 in Vojvodina during 5 influenza seasons based on sentinel surveillance in age groups: (<bold>A</bold>) 0-14 years; (<bold>B</bold>) 15-64 years; (<bold>C</bold>) over 65 years.</p></caption><graphic xlink:href="CroatMedJ_52_0141-F3"></graphic></fig><table-wrap id="T1" position="float"><label>Table 1</label><caption><p>Cumulative age specific incidence of influenza-like illness in Vojvodina during 5 influenza seasons, based on sentinel surveillance</p></caption><table frame="hsides" rules="groups"><col width="110" span="1"></col><col width="110" span="1"></col><col width="110" span="1"></col><col width="110" span="1"></col><thead><tr><th rowspan="2" valign="top" align="left" scope="col" colspan="1">Season</th><th colspan="3" valign="top" align="center" scope="colgroup" rowspan="1">Age groups (years)<hr></hr></th></tr><tr><th valign="top" colspan="1" align="center" scope="colgroup" rowspan="1">0-14</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">15-64</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">65+</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">2005/06<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3996.0<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">1346.2<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">436.9<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">2006/07<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">1384.2<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">4393.5<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">140.3<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">2007/08<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">12 292.4<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3856.0<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">1568.2<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">2008/09<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">8492.7<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">6017.6<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">5126.3<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">2009/10</td><td valign="top" align="center" rowspan="1" colspan="1">11 842.4</td><td valign="top" align="center" rowspan="1" colspan="1">6449.6</td><td valign="top" align="center" rowspan="1" colspan="1">1515.8</td></tr></tbody></table></table-wrap></sec><sec><title>Hospitalized cases and deaths due to SARI</title><p>During the season 2009/10, 1591 patients with SARI were admitted to 15 hospitals with a rate of hospitalization of 78.3/100 000. The ratio of hospitalization in districts was 1:11.6 and ranged from 14.0 to 162.5 per 100 000 (<italic>P</italic> < 0.001).</p><p>The number of deaths among cases was 32, with an overall mortality rate of 1.6 per 100 000 and CFR in hospitalized cases of 2%. All deaths were laboratory confirmed. CFRs were significantly different across districts but mortality rates were not (<xref ref-type="table" rid="T2">Table 2</xref>).</p><table-wrap id="T2" position="float"><label>Table 2</label><caption><p>Hospitalization rate, mortality rate in hospitalized cases, and case fatality rate (CFR) in Vojvodina during 2009/10 influenza A(H1N1) season by district, age, and sex</p></caption><table frame="hsides" rules="groups"><col width="59" span="1"></col><col width="63" span="1"></col><col width="81" span="1"></col><col width="45" span="1"></col><col width="54" span="1"></col><col width="36" span="1"></col><col width="68" span="1"></col><col width="39" span="1"></col><thead><tr><th valign="top" align="left" scope="col" rowspan="1" colspan="1">Demographic variable</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">No. of monitored population</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Rate of hospitalization*</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1"><italic>P</italic><sup>†</sup></th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">No. of deaths (mortality rate)*</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1"><italic>P</italic><sup>†</sup></th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">CFR in hospitalized cases (%)</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1"><italic>P</italic><sup>†</sup></th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">District:<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="bottom" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">South Bačka<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">593 666<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">6.5<hr></hr></td><td rowspan="8" valign="middle" align="center" colspan="1"><0.001<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">10 (1.7)<hr></hr></td><td rowspan="8" valign="middle" align="center" colspan="1">0.98<hr></hr></td><td valign="bottom" align="center" rowspan="1" colspan="1">2.5<hr></hr></td><td rowspan="8" valign="middle" align="center" colspan="1"><0.001<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">South Banat<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">313 937<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">162.5<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">5 (1.6)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">1.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Central Banat<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">208 456<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">154.9<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">3 (1.4)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">0.9<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">West Bačka<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">214 011<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">29.9<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">2 (0.9)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">3.1<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">North Bačka<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">200 140<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">14.0<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">4 (2.0)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">14.3<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">North Banat<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">165 881<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">91.6<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">2 (1.2)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">1.3<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Srem<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">335 901<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">35.4<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">6 (1.8)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">5.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">2 031 992<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">78.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">32 (1.6)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">2.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Sex:<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="bottom" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">male<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">984 942<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">88.3<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1"><0.001<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">20 (2.0)<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1">0.11<hr></hr></td><td valign="bottom" align="center" rowspan="1" colspan="1">2.3<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1">0.37<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">female<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">1 047 050<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">68.9<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">12 (1.1)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">1.7<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">2 031 992<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">78.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">32 (1.6)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">2.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Age (years):<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="bottom" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">0-4<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">92 575<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">87.5<hr></hr></td><td rowspan="6" valign="middle" align="center" colspan="1"><0.001</td><td valign="top" align="center" rowspan="1" colspan="1">0 (0.0)<hr></hr></td><td rowspan="6" valign="middle" align="center" colspan="1">0.04</td><td valign="bottom" align="center" rowspan="1" colspan="1">0.0<hr></hr></td><td rowspan="6" valign="middle" align="center" colspan="1">0.01</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">5-14<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">229 630<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">112.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">1 (0.4)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">0.4<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">15-19<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">137 777<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">120.5<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">0 (0.0)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">0.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">20-64<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">1 248 254<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">77.1<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">28 (2.2)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">2.9<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">65+<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">323 756<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">37.4<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">3 (0.9)<hr></hr></td><td valign="bottom" colspan="1" align="center" rowspan="1">2.5<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total</td><td valign="top" align="center" rowspan="1" colspan="1">2 031 992</td><td valign="top" align="center" rowspan="1" colspan="1">78.3</td><td valign="top" colspan="1" align="center" rowspan="1">32 (1.6)</td><td valign="bottom" colspan="1" align="center" rowspan="1">2.0</td></tr></tbody></table><table-wrap-foot><p>*Per 100 000 population.</p><p>†The values for demographic variables were compared using χ<sup>2</sup> test.</p></table-wrap-foot></table-wrap><p>Male/female sex ratio of hospitalized patients was 1.2:1. Hospitalization rate of men was higher (<italic>P</italic> < 0.001), but mortality rates were not significantly different between the sexes.</p><p>The highest age-specific hospitalization rate (120.5/100 000 ) was found in the 15-19 years age group (<italic>P</italic> < 0.001), while the highest age-specific mortality rate (2.2/100 000 ) was found in the 20-64 years age group (<italic>P</italic> = 0.04). There was a significant difference in CFR in hospitalized cases between different age groups (<xref ref-type="table" rid="T3">Table 3</xref>) (<italic>P</italic> = 0.01).</p><table-wrap id="T3" position="float"><label>Table 3</label><caption><p>Structure of hospitalized cases and deaths and case fatality rate (CFR) in Vojvodina during 2009/10 influenza A(H1N1) season by observed risk factors and clinical forms</p></caption><table frame="hsides" rules="groups"><col width="104" span="1"></col><col width="72" span="1"></col><col width="44" span="1"></col><col width="63" span="1"></col><col width="44" span="1"></col><col width="63" span="1"></col><col width="44" span="1"></col><thead><tr><th valign="top" align="left" scope="col" rowspan="1" colspan="1">Clinical form or presence of risk factors</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">No. (%) of hospitalized cases</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1"><italic>P*</italic></th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">No. (%) of deaths</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1"><italic>P*</italic></th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">CFR of hospitalized cases (%)</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1"><italic>P*</italic></th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Clinical form:<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">acute respiratory distress syndrome<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">62 (3.9)<hr></hr></td><td rowspan="4" valign="middle" align="center" colspan="1"><0.001<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">31 (96.9)<hr></hr></td><td rowspan="4" valign="middle" align="center" colspan="1"><0.001<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">50.0<hr></hr></td><td rowspan="4" valign="middle" align="center" colspan="1"><0.001<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">pneumonia<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">942 (59.2)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">1 (3.1)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">0.1<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">acute febrile illness<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">587 (36.9)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">0 (0.0)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">0.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">1591 (100.0)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">32 (100.0)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">2.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Risk factor:<sup>†</sup><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">any<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">536 (33.7)<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1"><0.001</td><td valign="middle" align="center" rowspan="1" colspan="1">24 (75.0)<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1"><0.001</td><td valign="middle" align="center" rowspan="1" colspan="1">4.5<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1"><0.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">no<hr></hr></td><td valign="middle" align="center" rowspan="1" colspan="1">1055 (66.3)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">8 (25.0)<hr></hr></td><td valign="middle" colspan="1" align="center" rowspan="1">0.8<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total</td><td valign="middle" align="center" rowspan="1" colspan="1">1591 (100.0)</td><td valign="middle" colspan="1" align="center" rowspan="1">32 (100.0)</td><td valign="middle" colspan="1" align="center" rowspan="1">2.0</td></tr></tbody></table><table-wrap-foot><p>*The values were compared using χ<sup>2</sup> test.</p><p>†Age, asthma, chronic obstructive pulmonary disease, chronic cardiovascular disease without hypertension, obesity regardless of level of obesity, pregnancy, diabetes mellitus, malignancies, chronic neurological disorders, malnutrition, and HIV infection.</p></table-wrap-foot></table-wrap><p>ARDS was registered in 3.9% and pneumonia in 59.2% of hospitalized patients with SARI. There was a significant difference in the number of deaths (<italic>P</italic> < 0.001) and CFR of hospitalized cases between different clinical forms of illness, such as ARDS, pneumonia, and SARI without pneumonia (<italic>P</italic> < 0.001). There were no registered deaths among patients with SARI without ARDS or pneumonia.</p><p>The majority of hospitalized cases (66.3%) had no risk factors. Deaths due to influenza A(H1N1)v were more frequently registered in patients with one or more risk factors than in patients without risk factors (75% vs 25%, <italic>P</italic> < 0.001) (<xref ref-type="table" rid="T3">Table 3</xref>).</p><p>There were no significant differences in the average duration of illness before hospitalization and the length of hospitalization in patients with SARI by sex (<xref ref-type="table" rid="T4">Table 4</xref>). Post-hoc analysis showed that there was a significant difference in the average duration of illness prior to hospitalization between the age groups 5-14 years and 20-64 years (<italic>P</italic> < 0.001) and also between the age groups older than 65 and 5-14 years (<italic>P</italic> = 0.035). The difference in the average length of hospitalization was significant between all age groups, except between the age groups 0-4 and 15-19 years.</p><table-wrap id="T4" position="float"><label>Table 4</label><caption><p>Duration of illness for hospitalized cases in Vojvodina during 2009/10 influenza A(H1N1) season by sex, age groups, and clinical form*</p></caption><table frame="hsides" rules="groups"><col width="68" span="1"></col><col width="81" span="1"></col><col width="45" span="1"></col><col width="81" span="1"></col><col width="45" span="1"></col><col width="63" span="1"></col><col width="54" span="1"></col><thead><tr><th valign="top" align="left" scope="col" rowspan="1" colspan="1">Demographic variable or clinical form</th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Mean (±SD) duration of illness prior to hospitalization*</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1"><italic>P</italic><sup>†</sup></th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Mean (±SD) length of hospitalization*</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1"><italic>P</italic><sup>†</sup></th><th valign="top" align="center" scope="col" rowspan="1" colspan="1">Mean (±SD) duration of illness in hospitalized cases</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1"><italic>P</italic><sup>†</sup></th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Sex:<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">male<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.3 ± 3.0<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1">0.96<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">8.1 ± 6.4<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1">0.41<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">11.4 ± 7.2<hr></hr></td><td rowspan="3" valign="middle" align="center" colspan="1">0.42<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">female<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.3 ± 3.0<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.3 ± 6.6<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">11.7 ± 7.4<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total (95% confidence interval)<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.3 ± 3.0 (3.2-3.5)<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.2 ± 6.5 (7.9-8.5)<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">11.5 ± 7.3 (11.2-11.9)<hr></hr></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Age:<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">0-4<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.1 ± 3.5<hr></hr></td><td rowspan="6" valign="middle" align="center" colspan="1"><0.001<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">7.3 ± 12.2<hr></hr></td><td rowspan="6" valign="middle" align="center" colspan="1"><0.001<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">10.3 ± 12.2<hr></hr></td><td rowspan="6" valign="middle" align="center" colspan="1"><0.001<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">5-14<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">2.7 ± 3.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">5.4 ± 2.5<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.1 ± 4.3<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">15-19<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.1 ± 3.9<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">6.7 ± 4.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">9.9 ± 5.9<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">20-64<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.5 ± 2.8<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.8 ± 6.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">12.4 ± 7.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">65+<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.4 ± 2.5<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">11.7 ± 7.9<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">15.4 ± 8.6<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.3 ± 3.0<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.2 ± 6.5<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">11.5 ± 6.4<hr></hr></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Clinical form:<hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="top" align="left" rowspan="1" colspan="1"><hr></hr></td><td valign="middle" align="left" rowspan="1" colspan="1"><hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">acute respiratory distress syndrome<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">4.5 ± 2.9<hr></hr></td><td rowspan="4" valign="middle" align="center" colspan="1"><0.001</td><td valign="top" align="center" rowspan="1" colspan="1">16.4 ± 14.7<hr></hr></td><td rowspan="4" valign="middle" align="center" colspan="1"><0.001</td><td valign="top" align="center" rowspan="1" colspan="1">21.2 ± 15.2<hr></hr></td><td rowspan="4" valign="middle" align="center" colspan="1"><0.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">pneumonia<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">3.8 ± 3.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.9 ± 5.0<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">12.6 ± 6.0<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">acute febrile illness<hr></hr></td><td valign="top" align="center" rowspan="1" colspan="1">2.5 ± 2.2<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">6.2 ± 6.3<hr></hr></td><td valign="top" colspan="1" align="center" rowspan="1">8.7 ± 6.6<hr></hr></td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">total</td><td valign="top" align="center" rowspan="1" colspan="1">3.3 ± 3.0</td><td valign="top" colspan="1" align="center" rowspan="1">8.2 ± 6.5</td><td valign="top" colspan="1" align="center" rowspan="1">11.5 ± 7.3</td></tr></tbody></table><table-wrap-foot><p>*SD – standard deviation.</p><p>†The values were compared using <italic>t</italic> test (sex) and ANOVA (age, clinical form).</p></table-wrap-foot></table-wrap><p>Post-hoc analysis showed that patients with SARI who developed ARDS and pneumonia had significantly delayed admission at the hospital and longer hospitalization than patients with SARI with only acute febrile illness (<italic>P</italic> < 0.001).</p></sec><sec><title>Laboratory results</title><p>A total of 315 swabs were taken from hospitalized patients with SARI (non-sentinel) and 20 swabs from sentinel patients, and 145 (46.0%) and 15 (75%) patients, respectively, had a positive polymerase chain reaction result. The presence of the virus was confirmed in patients from 31 out of 45 municipalities, covering 86.1% of the population.</p></sec><sec><title>Public health control measures</title><p>Public health control measures implemented after the outbreak were enhanced support for vaccination; distribution of information leaflets as the main control measures for the preschool and school facilities; distribution of posters in the public transport facilities; appearance of experts in the prime news of the public media; broadcasting videos and jingles on behavior in public indoor spaces, the use and disposal of tissues, and the position of hands when sneezing and coughing; and issuing warnings about the symptoms of influenza and procedures in case of disease recognition.</p><p>The Institute of Public Health of Vojvodina Web site weekly presented updated epidemiological reports on the number of cases and issued warnings about a possible further increase.</p><p>Schools we closed on two occasions (<xref ref-type="fig" rid="F1">Figure 1</xref>), for one and three weeks, respectively. After the school closure, the epidemic curve showed a decrease in the weekly incidence rate of ILI and the number of hospitalized cases.</p><p>Immunization started in the week 51 of 2009, with 2.8% coverage (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p><fig id="F4" fig-type="figure" position="float"><label>Figure 4</label><caption><p>Course of immunization in Autonomous Province of Vojvodina during the influenza season of 2009/10. The line represents the number of vaccinated persons.</p></caption><graphic xlink:href="CroatMedJ_52_0141-F4"></graphic></fig></sec></sec><sec sec-type="discussion"><title>Discussion</title><p>Our study found that school closure reduced the intensity of clinical activity and pressure on hospitals. The fatal outcome was more common among patients with one or more risk factors and the outcome and severity of the disease depended on the time elapsed from the onset of illness to the hospital admission and therapy.</p><p>In our country, the comparison of the 2009/2010 influenza season with previous seasons cannot be based solely on hospital-based surveillance data, as there are no reliable records on hospital admissions and deaths related to laboratory-confirmed influenza. Sentinel surveillance is a good method to detect the beginning and the severity of the epidemic, similar to the findings of other authors (<xref ref-type="bibr" rid="R10">10</xref>). The fact that the 2009/2010 epidemic season began two to three months earlier than previous seasons could be explained by the introduction of a new surveillance method. Using the same case definitions, it was possible to compare the current situation with the previous period (<xref ref-type="bibr" rid="R11">11</xref>,<xref ref-type="bibr" rid="R12">12</xref>).</p><p>The weekly incidence of ILI above the epidemic threshold in the majority of districts and the incidence rate of 1090.0/100 000 inhabitants in the week 50 of 2009 indicates a widespread geographical activity of the virus and a very high intensity of clinical activity. Cumulative incidence was used to estimate 136 000 clinically manifested cases in Vojvodina.</p><p>A limitation of this study is that we were not able to confirm a larger number of cases because only one laboratory in Serbia was designated and equipped for the confirmation of pandemic influenza virus during 2009/10 influenza season and we had to rely on clinical case definition of influenza-like illness.</p><p>In most reports, the increased incidence among young people could be explained by the fact that more young people are tested, for example during outbreaks of influenza in schools (<xref ref-type="bibr" rid="R13">13</xref>-<xref ref-type="bibr" rid="R15">15</xref>). We believe that in our province the outbreak of pandemic influenza started in students who had returned from school-organized trips abroad in October 2009. Large numbers of reservoirs were imported in a short period, enabling the outbreak occurrence rather than silent transmission that happened in the population during the summer of 2009, after the outbreak among music festival participants (<xref ref-type="bibr" rid="R3">3</xref>). Furthermore, the majority of cases occurred in school children and the school outbreaks started the epidemic in the rest of the population. Cumulative age-specific incidence was not different from previous epidemic seasons except in the age group 15-64 years, although the weekly age-specific incidence rates were highest during the influenza season 2009/10.</p><p>The most significant features of this epidemic, besides the rapid establishment of community transmission, were geographic variability in the number of hospitalized patients, more severe and sustained capacity problems in intensive care units, an increased risk of severe illness in adults, and abrupt cessation of community transmission (<xref ref-type="bibr" rid="R16">16</xref>). Our hospitalization and mortality rates are compatible with the data from other countries (<xref ref-type="bibr" rid="R14">14</xref>,<xref ref-type="bibr" rid="R17">17</xref>-<xref ref-type="bibr" rid="R19">19</xref>). The hospitalization rates from 14-162 per 100 000 inhabitants in our province were higher than 2.0-31.8 per 100 000 observed in Southern hemisphere countries, while the mortality rates were similar (<xref ref-type="bibr" rid="R18">18</xref>,<xref ref-type="bibr" rid="R19">19</xref>). Additional hospital bed and staff capacities were used to provide medical care for patients with SARI at the peak of the outbreak in districts with the highest hospitalization rates. The difference in CFRs of hospitalized cases among districts was a result of different hospital admittance criteria. In North Bačka district, only the most severe cases were admitted, which reflected in the higher proportion of deaths among the admitted cases when CFR in hospitalized cases was calculated.</p><p>In the Netherlands, the hospitalization rates due to pandemic influenza by age group ranged from 2.8 to 62.7 (overall 13.1) per 100 000 and mortality rates ranged from 0.05 to 0.61 (overall 0.32) per 100 000 (<xref ref-type="bibr" rid="R8">8</xref>). Hospitalization and mortality rates in Vojvodina due to pandemic influenza by age group ranged more widely. The hospitalization rates were lowest in the oldest group of participants and highest in the age group 15-19 years, while the highest mortality rate was observed in the age group of 20-64 years. In Brazil, the most frequently hospitalized were younger age groups and they had the highest mortality rates (<xref ref-type="bibr" rid="R20">20</xref>). As opposed to this, in New South Wales and the Netherlands the highest age-specific hospitalization rates and mortality rates were found in older age groups (<xref ref-type="bibr" rid="R10">10</xref>,<xref ref-type="bibr" rid="R16">16</xref>).</p><p>The presence of co-morbidity represented a greater risk factor of death in our population. Delay in hospital treatment commencement increased the severity of the illness and influenced its outcome, as it was shown in other countries (<xref ref-type="bibr" rid="R21">21</xref>,<xref ref-type="bibr" rid="R22">22</xref>).</p><p>During the outbreak, we confirmed 46% of sampled patients with SARI and 75% of sampled sentinel ILI cases. Higher percentage of negative results of polymerase chain reaction in patients with SARI can be explained by the fact that antiviral treatment was applied immediately after the hospital admission.</p><p>Sentinel surveillance and high quality data of hospitalized cases were essential for health service planning and responding during the pandemic H1N1 2009 influenza (<xref ref-type="bibr" rid="R23">23</xref>). In Osaka, Japan, in May 2009 school closure slowed down the outbreak (<xref ref-type="bibr" rid="R24">24</xref>). Our results confirmed such results, suggesting that school closure most likely contributed to the influenza A(H1N1)v transmission control. School closure is more effective when attack rates in children are higher than in adults (<xref ref-type="bibr" rid="R25">25</xref>), which was the case in Vojvodina. Besides, the sentinel surveillance showed that school closure had an effect on the intensity of epidemic spreading, while SARI surveillance showed that the measure reduced the number of hospital admissions and the pressure on hospitals.</p><p>School closure has not always had a mitigating effect on pandemic influenza, most probably due to its duration and delay in implementation (<xref ref-type="bibr" rid="R25">25</xref>). When schools in Vojvodina were closed for one week, influenza epidemic was slowed down and the intensity of clinical activity decreased from a very high to high level but the outbreak was not stopped. There was an epidemiological recommendation to extend the period of closure, so that when schools were closed for the second time for three weeks, the intensity of clinical activity decreased to a low level. It is still unclear whether it was the second school closure that ended the outbreak or it ended naturally.</p><p>In order to control influenza transmission with vaccines, high vaccine coverage is needed in high risk groups, as well as in the general population. Vaccination gives the best results if vaccines are given before the beginning of the outbreak (<xref ref-type="bibr" rid="R26">26</xref>). Vaccination in Vojvodina started at the end of the outbreak, with low coverage and could not influence the course of the epidemic.</p><p>Sentinel ILI and SARI surveillance, both followed by virological surveillance, seem to be the optimal methods to monitor the full scope of the influenza pandemic (from mild to severe influenza) in Vojvodina. This approach enabled us to propose timely and quality decisions to health authorities regarding the public health control measures.</p></sec></body><back><ack><p>Funding: None.</p><p>Ethical approval: not required.</p><p>Declaration of authorship: VP was the leading author in creating the article, created and conducted the data collection, processing, and analysis, and wrote the article. ZŠ participated in the design and implementation of surveillance of influenza in Vojvodina, the analysis of collected data, interpretation of results, and conclusion formulation.</p><p>GĆ was involved in designing of the data acquisition form and data acquisition process among hospitalized patients, interpretation of results, and critical revision of the article for important intellectual content. MR was engaged in the fieldwork during influenza pandemic, collected data from doctors for ILI/ARI sentinel surveillance, epidemiological investigation of ARDS, investigation of flue mortality cases and development charting. JN was responsible for laboratory monitoring and analysis. ND participated in planning and designing of the data acquisition form, analysis of the data, presentation and interpretation of results, and critical revision of the article for important intellectual content. SU participated in the influenza monitoring system in Vojvodina and analysis and interpretation of the collected data.</p><p>Competing interests: All authors have completed the Unified Competing Interest form at <italic><ext-link ext-link-type="uri" xlink:href="http://www.icmje.org/coi_disclosure.pdf">www.icmje.org/coi_disclosure.pdf</ext-link></italic> (available on request from the corresponding author) and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.</p></ack><ref-list><title>References</title><ref id="R1"><label>1</label><mixed-citation publication-type="webpage">World Health Organization. Pandemic (H1N1) 2009-update 62 (revised 21 August 2009). 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