Communicable Diseases Intelligence最新文献_第6页

Invasive Pneumococcal Disease Surveillance, 1 October to 31 December 2016. 2016年10月1日至12月31日侵袭性肺炎球菌疾病监测。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Kate Pennington

引用次数: 0

The Australian Sentinel Practices Research Network, 1 October to 31 December 2016. 澳大利亚哨兵实践研究网络，2016年10月1日至12月31日。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Monique B-N Chilver, Daniel Blakeley, Nigel P Stocks

引用次数: 0

Influenza testing trends in sentinel surveillance general practices in Victoria 2007 to 2014. 2007年至2014年维多利亚州哨点监测一般做法的流感检测趋势。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Genevieve A Cowie, Benjamin C Cowie, James E Fielding

{"title":"Influenza testing trends in sentinel surveillance general practices in Victoria 2007 to 2014.","authors":"Genevieve A Cowie, Benjamin C Cowie, James E Fielding","doi":"","DOIUrl":"","url":null,"abstract":"The Victorian Sentinel Practice Influenza Network conducts syndromic surveillance for influenza-like illness (ILI), with testing for laboratory confirmation of a proportion of cases at the discretion of general practitioners. The aim of this study was to evaluate the consistency of sentinel general practitioners' swabbing practice within and between influenza seasons. Aggregated, weekly, non-identified data for May to October each year from 2007 to 2014 were used to calculate the proportion of patients presenting with ILI (defined as cough, fever and fatigue), proportion of ILI patients swabbed and proportion of swabs positive for influenza. Data on the proportion of consultations for ILI and the proportion of ILI patients swabbed were aggregated into time-period quintiles for each year. Analysis of variance was used to compare ILI patients swabbed for each aggregated time-period quintile over all 8 years. Spearman's correlation and Bland-Altman analyses were used to measure association and agreement respectively between ILI proportions of consultations and swabs positive for influenza in time period quintiles within each year. Data were aggregated by year for the rest of the analyses. Between 2007 and 2014 there was a slight decrease in the proportion of positive tests and the proportion of ILI patients was generally a good proxy for influenza test positivity. There was consistency in testing within and between seasons, despite an overall testing increase between 2007 and 2014. There was no evidence for temporal sampling bias in these data despite testing not being performed on a systematic basis. This sampling regimen could also be considered in other similar surveillance systems.","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E4-E9"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing research priorities for Australia's response to infectious disease emergencies. 制定澳大利亚应对传染病紧急情况的研究重点。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Sharon R Lewin, Ross M Andrews, Jodie McVernon, Julie Milland, Miranda Z Smith, Tania C Sorrell

引用次数: 0

Immunisation coverage annual report, 2014. 免疫覆盖率年度报告，2014年。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Brynley P Hull, Alexandra J Hendry, Aditi Dey, Frank H Beard, Julia M Brotherton, Peter B McIntyre

{"title":"Immunisation coverage annual report, 2014.","authors":"Brynley P Hull, Alexandra J Hendry, Aditi Dey, Frank H Beard, Julia M Brotherton, Peter B McIntyre","doi":"","DOIUrl":"","url":null,"abstract":"This 8th annual immunisation coverage report shows data for 2014 derived from the Australian Childhood Immunisation Register and the National Human Papillomavirus Vaccination Program Register. This report includes coverage data for 'fully immunised' and by individual vaccines at standard age milestones and timeliness of receipt at earlier ages according to Indigenous status. Overall, 'fully immunised' coverage has been mostly stable at the 12- and 24-month age milestones since late 2003, but at 60 months of age, it has increased by more than 10 percentage points since 2009. As in previous years, coverage for 'fully immunised' at 12 months of age among Indigenous children was 3.7% lower than for non-Indigenous children overall, varying from 6.9 percentage points in Western Australia to 0.3 of a percentage point in the Australian Capital Territory. In 2014, 73.4% of Australian females aged 15 years had 3 documented doses of human papillomavirus vaccine (jurisdictional range 67.7% to 77.4%), and 82.7% had at least 1 dose, compared with 71.4% and 81.5%, respectively, in 2013. The disparity in on-time vaccination between Indigenous and non-Indigenous children in 2014 diminished progressively from 20.2% for vaccines due by 12 months to 11.5% for those due by 24 months and 3.0% at 60 months of age.","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E68-E90"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Community-acquired syndromes causing morbidity and mortality in Australia . 在澳大利亚引起发病率和死亡率的社区获得性综合征 。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Shweta Sharma, Emmy Sneath, Allen C Cheng, N Deborah Friedman

{"title":"Community-acquired syndromes causing morbidity and mortality in Australia\u2029.","authors":"Shweta Sharma, Emmy Sneath, Allen C Cheng, N Deborah Friedman","doi":"","DOIUrl":"","url":null,"abstract":"Introduction: The clinical and economic burden of infectious diseases is a substantial public health problem. The determination of the relative contributions of these diseases to the overall healthcare burden can inform priority setting, planning, and decision-making in healthcare and establish a baseline for future comparisons. Few recent studies have presented definitive data on the incidence of infectious diseases requiring hospitalisation in the Southern Hemisphere. We identified the age-specific number of hospitalisations and severe infections requiring intensive care unit admissions in the Geelong region. This was then extrapolated to calculate incidence data of these selected infectious diseases in Australia.\u2029 Methods: This observational study was performed in Geelong, the second largest city in Victoria (population of 194,566 adults ≥ 20 years). University Hospital Geelong is a public hospital with the only emergency department in Geelong during the years 2011 and 2013. Patients were identified using the International Classification of Diseases, 10th Revision Australian Modification discharge codes and diagnoses were confirmed using clinical, radiological and laboratory criteria.\u2029 Results: Between 2011 and 2013, there were 1,506 admissions for community-acquired pneumonia (CAP) (245.3 per 100,000 person years), 1,613 admissions for skin and soft tissue infections (SSTIs) (271.2 per 100,000 person years), 479 for pyelonephritis (79.7 per 100,000 person years), 131 for influenza (22.4 per 100,000 person years), and 52 for meningitis (8.9 per 100,000 person years).\u2029 Conclusion: SSTI, CAP, and pyelonephritis are common syndromes responsible for admission to hospital in Australia, with an incidence that increases with age. CAP is a major cause of morbidity and mortality in the Australian population. Influenza is associated with the greatest percentage of severe infections requiring intensive care unit admission.","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E49-E57"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

National Notifiable Diseases Surveillance System, 1 October to 31 December 2016. 国家法定传染病监测系统，2016年10月1日至12月31日。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

引用次数: 0

Australian childhood immunisation coverage, 1 July 2015 and 30 June 2016 cohort, assessed as at 30 September 2016. 澳大利亚儿童免疫接种覆盖率，2015年7月1日和2016年6月30日队列，评估截至2016年9月30日。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Alexandra J Hendry

引用次数: 0

The molecular epidemiology of norovirus outbreaks in Victoria, 2014 to 2015 . 2014 - 2015年维多利亚州诺如病毒暴发的分子流行病学研究 。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2017-03-31

Leesa D Bruggink, Jean M Moselen, John A Marshall

{"title":"The molecular epidemiology of norovirus outbreaks in Victoria, 2014 to 2015\u2029.","authors":"Leesa D Bruggink, Jean M Moselen, John A Marshall","doi":"","DOIUrl":"","url":null,"abstract":"Noroviruses are a leading cause of outbreaks of gastroenteritis. This study examined the incidence and molecular characteristics of norovirus outbreaks in healthcare and non-healthcare settings in Victoria, Australia, over 2 years (2014-2015). Norovirus was detected in 65.7% and 60.4% of gastroenteritis outbreaks investigated for the years 2014 and 2015 respectively. There was a significant decline in the number of norovirus outbreaks in the period 2014 to 2015 although in both years norovirus outbreaks peaked in the latter part of the year. Norovirus Open Reading Frame (ORF) 2 (capsid) genotypes identified included GI.2, GI.3, GI.4, GI.5, GI.6, GI.9, GII.2, GII.3, GII.4, GII.6, GII.7, GII.8, GII.13 and GII.17. GII.4 was the most common genotype detected. In addition, the following ORF 1/ORF 2 recombinant forms were confirmed: GII.P4_NewOrleans_2009/GII.4_Sydney_2012, GII.P12/GII.3, GII.Pb (GII.21)/GII.3, GII.Pe/GII.2 and GII.Pe/GII.4_Sydney_2012. A significant decline was noted in the chief norovirus strain GII.Pe/GII.4_Sydney_2012 between 2014 and 2015 but there was a re-emergence of a GII.P4_ NewOrleans _2009 norovirus strain. Outbreaks involving the GII.P17/GII.17 genotype were also detected for the first time in Victoria. GI genotypes circulating in Victoria for the 2 years 2014 and 2015 underwent a dramatic change between the 2 years of the survey. Many genotypes could occur in both healthcare and non-healthcare settings although GI.3, GII.6, and GII.4 were significantly more common in healthcare settings. The study emphasises the complex way in which norovirus circulates throughout the community.","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E21-E32"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influenza epidemiology in patients admitted to sentinel Australian hospitals in 2015: the Influenza Complications Alert Network. 2015年澳大利亚哨点医院收治病人的流感流行病学：流感并发症警报网络。

IF 2.5

Communicable Diseases Intelligence Pub Date : 2016-12-24

Allen C Cheng, Mark Holmes, Dominic E Dwyer, Louis B Irving, Tony M Korman, Sanjaya Senenayake, Kristine K Macartney, Christopher C Blyth, Simon Brown, Grant Waterer, Robert Hewer, N Deborah Friedman, Peter A Wark, Graham Simpson, John Upham, Simon D Bowler, Albert Lessing, Tom Kotsimbos, Paul M Kelly

{"title":"Influenza epidemiology in patients admitted to sentinel Australian hospitals in 2015: the Influenza Complications Alert Network.","authors":"Allen C Cheng, Mark Holmes, Dominic E Dwyer, Louis B Irving, Tony M Korman, Sanjaya Senenayake, Kristine K Macartney, Christopher C Blyth, Simon Brown, Grant Waterer, Robert Hewer, N Deborah Friedman, Peter A Wark, Graham Simpson, John Upham, Simon D Bowler, Albert Lessing, Tom Kotsimbos, Paul M Kelly","doi":"","DOIUrl":"","url":null,"abstract":"The Influenza Complications Alert Network (FluCAN) is a sentinel hospital-based surveillance program that operates at sites in all states and territories in Australia. This report summarises the epidemiology of hospitalisations with laboratory-confirmed influenza during the 2015 influenza season. In this observational study, cases were defined as patients admitted to one of the sentinel hospitals with an acute respiratory illness with influenza confirmed by nucleic acid detection. During the period 1 April to 30 October 2015 (the 2015 influenza season), 2,070 patients were admitted with confirmed influenza to one of 17 FluCAN sentinel hospitals. Of these, 46% were elderly (≥ 65 years), 15% were children (< 16 years), 5% were Indigenous Australians, 2.1% were pregnant and 75% had chronic co-morbidities. A high proportion were due to influenza B (51%). There were a large number of hospital admissions detected with confirmed influenza in this national observational surveillance system in 2015 with case numbers similar to that reported in 2014. The national immunisation program is estimated to avert 46% of admissions from confirmed influenza across all at-risk groups, but more complete vaccination coverage in target groups could further reduce influenza admissions by as much as 14%.","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"40 4","pages":"E521-E526"},"PeriodicalIF":2.5,"publicationDate":"2016-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138810504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0