http://nova.newcastle.edu.au/vital/access/services/Feed ${session.getAttribute("locale")} 5 http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:11265 We compared the accuracy of online data obtained from the Flutracking surveillance system during pandemic (H1N1)2009 in Australia with data from other influenza surveillance systems. Flutracking accurately identified peak influenza activity timing and community influenza-like illness activity and was significantly less biased by treatment-seeking behavior and laboratory testing protocols than other systems. 2013-05-07T03:49:30.173Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4762 During an influenza pandemic, public health staff may not report to work due to illness, transport disruptions or care responsibilities, including care of children if school closures occur. A survey was conducted in a population health unit to estimate the impact of closure of schools and day care facilities on staff ability to work at their usual workplace or at home, and determine their access to the Internet for communication. Staff were also asked about concerns associated with working from home. Eighty-seven staff completed a paper based survey. Thirty-eight per cent (33/87) of staff may be absent from work due to the impact of childcare and school closure, however 24 (73%) of these staff would be able to work from home with most having access to dial-up (87%) and broadband Internet access (71%). Staff reported concerns about potential exposure to pandemic influenza, the need for personal protection and clearly defined roles and training, availability of adequate equipment and technology to work from home, and sick leave provisions during a pandemic. While school and childcare closures will have a significant impact on public health agency staff, they have the capacity and willingness to work from home. Their practical concerns should be addressed to optimise their participation. 2012-05-29T00:51:51.568Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:10220 Background: To determine patterns of childhood lead exposure in a community living near a lead and zinc smelter in North Lake Macquarie, Australia between 1991 and 2002. Methods: An analysis of serial blood lead levels (BLL) of children less than 13 years of age in North Lake Macquarie participating in voluntary blood lead screening. Distance to the smelter and soil lead concentration of the child's place of residence was calculated. Categorical analysis of BLL by residential distance from smelter, residential soil lead concentration, age and year of sample was calculated. Linear regression models were fit for blood lead levels against residential distance from smelter, the log of residential soil lead concentration, age and year of BLL sample. Results: Geometric mean BLLs were statistically significantly higher for distances less than 1.5 kilometres from the smelter and for residential soil lead concentrations greater than 300 ppm. Yearly BLLs since 1995 were statistically significantly lower than for preceding years, with an average decrease of 0.575 μg/dL per year since 1991. BLLs are statistically significantly higher for children whose age is 1 to 3 years old. Linear regression modelling of BLL predicted a statistically significant decrease in BLL of 3.0831 μg/dL per kilometre from the smelter and a statistically significant increase in BLL of 0.25 μg/dL per log of lead in residential soil. The model explained 28.2% of the variation in BLL. Conclusion: Residential distance to the smelter, log of residential soil lead concentration, child's age and year of BLL sample are statistically significant factors for predicting elevated BLLs in children living near a North Lake Macquarie lead smelter. 2012-03-14T22:40:07.245Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:6861 Outbreak investigation is a core function of public health agencies. Suboptimal outbreak investigation endangers both public health and agency reputations. While audits of clinical medical and nursing practice are conducted as part of continuous quality improvement, public health agencies rarely make systematic use of structured audits to ensure best practice for outbreak responses, and there is limited guidance or policy to guide outbreak audit. A framework for prioritising which outbreak investigations to audit, an approach for conducting a successful audit, and a template for audit trigger questions was developed and trialled in four foodborne outbreaks and a respiratory disease outbreak in Australia. The following issues were identified across several structured audits: the need for clear definitions of roles and responsibilities both within and between agencies, improved communication between agencies and with external stakeholders involved in outbreaks, and the need for development of performance standards in outbreak investigations - particularly in relation to timeliness of response. Participants considered the audit process and methodology to be clear, useful, and non-threatening. Most audits can be conducted within two to three hours, however, some participants felt this limited the scope of the audit. The framework was acceptable to participants, provided an opportunity for clarifying perceptions and enhancing partnership approaches, and provided useful recommendations for approaching future outbreaks. Future challenges include incorporating feedback from broader stakeholder groups, for example those of affected cases, institutions and businesses; assessing the quality of a specific audit; developing training for both participants and facilitators; and building a central capacity to support jurisdictions embarking on an audit. The incorporation of measurable performance criteria or sharing of benchmark performance criteria will assist in the standardisation of outbreak investigation audit and further quality improvement. 2012-03-12T06:47:58.736Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:6868 General practice and hospital surveillance for influenza-like illness (ILI) and laboratory influenza surveillance provide useful but incomplete information on influenza incidence. Flutracking is an Australian pilot of an Internet-based community ILI syndromic surveillance system designed to detect inter-pandemic and, potentially, pandemic influenza. Presence of fever and/or cough and absence from normal duties are collected weekly. Influenza vaccination status of respondents is recorded. New South Wales Flutracking data for 2007 were compared with New South Wales laboratory notifications for confirmed influenza to validate it's ability to provide alerts of influenza activity. Symptom rates amongst vaccinated and unvaccinated Flutracking respondents were compared using a variety of case definitions, with New South Wales laboratory influenza notifications. Time series methods were used to estimate the degree of correlation between each Flutracking case definition and the laboratory data. For the unvaccinated group, the correlations between all Flutracking case definitions and laboratory data were statistically significant, while for the vaccinated group no case definitions were significantly correlated with laboratory data. Thus Flutracking ILI data amongst unvaccinated participants correlated well with influenza laboratory surveillance. 2012-03-12T06:47:49.364Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:9230 Introduction: On May 26, 2009, the first confirmed case of Pandemic (H1N1) 2009 virus (pH1N1) infection in Hunter New England (HNE), New South Wales (NSW), Australia (population 866,000) was identified. We used local surveillance data to estimate pH1N1-associated disease burden during the first wave of pH1N1 circulation in HNE. Methods: Surveillance was established during June 1-August 30, 2009, for: 1) laboratory detection of pH1N1 at HNE and NSW laboratories, 2) pH1N1 community influenza-like illness (ILI) using an internet survey of HNE residents, and 3) pH1N1-associated hospitalizations and deaths using respiratory illness International Classification of Diseases 10 codes at 35 HNE hospitals and mandatory reporting of confirmed pH1N1-associated hospitalizations and deaths to the public health service. The proportion of pH1N1 positive specimens was applied to estimates of ILI, hospitalizations, and deaths to estimate disease burden. Results: Of 34,177 specimens tested at NSW laboratories, 4,094 (12%) were pH1N1 positive. Of 1,881 specimens from patients evaluated in emergency departments and/or hospitalized, 524 (26%) were pH1N1 positive. The estimated number of persons with pH1N1-associated ILI in the HNE region was 53,383 (range 37,828–70,597) suggesting a 6.2% attack rate (range 4.4–8.2%). An estimated 509 pH1N1-associated hospitalizations (range 388–630) occurred (reported: 184), and up to 10 pH1N1-associated deaths (range 8–13) occurred (reported: 5). The estimated case hospitalization ratio was 1% and case fatality ratio was 0.02%. Discussion: The first wave of pH1N1 activity in HNE resulted in symptomatic infection in a small proportion of the population, and the number of HNE pH1N1-associated hospitalizations and deaths is likely higher than officially reported. 2012-01-30T05:29:13.014Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:6942 General practitioners play an important role in the detection and clinical management of influenza. The Australian Sentinel Practice Research Network (ASPREN) has been collecting data from sentinel GPs on selected conditions, including influenza-like illness (ILI), since 1991 to inform public health authorities of communicable disease activity in the community. Weekly incidence of ILI data reported by ASPREN GPs in 2007–2008 was compared with data from two separate surveillance systems: New South Wales data from FluTracking, an online self reporting ILI surveillance system; and national laboratory notifications of influenza reported to the National Notifiable Diseases Surveillance System between 2003 and 2008. ASPREN recorded peak ILI rates of 47 per 1000 consultations in week 30 (ending 29 July) 2007 and 34 per 1000 consultations in week 36 (ending 7 September) 2008. Similar trends in incidence were seen in FluTracking cough and fever rates, ASPREN data in New South Wales and National Notifiable Diseases Surveillance System laboratory notifications. Data captured by the three separate surveillance systems provide complementary information regarding influenza in the Australian population. 2012-01-30T05:06:59.394Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:6860 Hospitalisation rates for seasonal influenza are highest among young children and people aged over 65 years. Calculation of laboratory-confirmed infection rates is difficult because influenza testing is not consistently performed. Using diagnostic codes to identify hospitalisations for acute respiratory illness provides one measure of the relative burden of pandemic (H1N1) 2009 (pH1N1) virus infection compared with influenza virus infections in previous influenza seasons. 2011-02-02T05:30:01.312Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4474 In a case–control study in the Hunter region of New South Wales, Australia, 354 cases and 593 controls were recruited to investigate meat, other food, and environmental exposures as potential risk factors for domestically acquired Campylobacter illness. In a multivariable model, illness was significantly associated with household exposure to diarrheal illness, consumption of restaurant chicken or beef, eating two or more “fast” food meals in a week, and overseas travel. Comparing exposures for the 0- to 4-year and 5-year and older age groups allowed detection of additional risk factors. Eating restaurant-prepared red meat and swimming were significantly associated with Campylobacter illness in the older group only. These findings demonstrate age-specific differences in risk factors for campylobacteriosis. 2010-04-27T05:09:49.681Z ]]> http://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4715 To the editor : The article by Haug and colleagues on household food stockpiling is a useful contribution to a neglected aspect of disaster planning. However, rather than providing a guide to what foods should be stockpiled, it may be more valuable to encourage families to increase the amount and rotation of the non-perishables they currently purchase. The authors seek to promote a balanced nutritional diet, but encouraging a family to continue their usual purchasing patterns when stockpiling for a pandemic or other disaster is a simpler, more sustainable, and possibly more effective way to promote household food stockpiling. We must assume that the family currently survives, for better or worse, on their current food purchase pattern. 2010-04-27T05:03:04.368Z ]]>