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        <title>BMC Public Health - Latest Articles</title>
        <link>http://www.biomedcentral.com/bmcpublichealth/</link>
        <description>The latest research articles published by BMC Public Health</description>
        <dc:date>2009-11-23T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2458/9/429" />
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        <title>Assessing knowledge of human papillomavirus and collecting data on sexual behavior: computer assisted telephone versus face to face interviews</title>
        <description>Background:
Education campaigns seeking to raise awareness of human papillomavirus (HPV) and promoting HPV vaccination depend on accurate surveys of public awareness and knowledge of HPV and related sexual behavior. However, the most recent population-based studies have relied largely on computer-assisted telephone interviews (CATI) as opposed to face to face interviews (FTFI). It is currently unknown how these survey modes differ, and in particular whether they attract similar demographics and therefore lead to similar overall findings.
Methods:
A comprehensive survey of HPV awareness and knowledge, including sexual behavior, was conducted among 3,045 Singaporean men and women, half of whom participated via CATI, the other half via FTFI.
Results:
Overall levels of awareness and knowledge of HPV differed between CATI and FTFI, attributable in part to demographic variations between these survey modes. Although disclosure of sexual behavior was greater when using CATI, few differences between survey modes were found in the actual information disclosed.
Conclusions:
Although CATI is a cheaper, faster alternative to FTFI and people appear more willing to provide information about sexual behavior when surveyed using CATI, thorough assessments of HPV awareness and knowledge depend on multiple survey modes.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/429</link>
                <dc:creator>Anthony Smith</dc:creator>
                <dc:creator>Anthony Lyons</dc:creator>
                <dc:creator>Marian Pitts</dc:creator>
                <dc:creator>Samantha Croy</dc:creator>
                <dc:creator>Richard Ryall</dc:creator>
                <dc:creator>Suzanne Garland</dc:creator>
                <dc:creator>Mee Lian Wong</dc:creator>
                <dc:creator>Eng Hseon Tay</dc:creator>
                <dc:source>BMC Public Health 2009, 9:429</dc:source>
        <dc:date>2009-11-23T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-429</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>429</prism:startingPage>
        <prism:publicationDate>2009-11-23T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
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        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/428">
        <title>Optimizing Suicide Prevention Programs and Their Implementation in Europe (OSPI-Europe): An evidence-based multi-level approach</title>
        <description>Background:
Suicide and non-fatal suicidal behaviour are significant public health issues in Europe requiring effective preventive interventions. However, the evidence for effective preventive strategies is scarce. The protocol of a European research project to develop an optimized evidence based programme for suicide prevention is presented.MethodThe groundwork for this research has been established by a regional community based intervention for suicide prevention that focuses on improving awareness and care for depression performed within the European Alliance Against Depression (EAAD). The EAAD intervention consists of (1) training sessions and practice support for primary care physicians,(2) public relations activities and mass media campaigns, (3) training sessions for community facilitators who serve as gatekeepers for depressed and suicidal persons in the community and treatment  and (4) outreach and support  for high risk and self-help groups (e.g. helplines). The intervention has been shown to be effective in reducing suicidal behaviour in an earlier study, the Nuremberg Alliance Against Depression. In the context of the current research project described in this paper (OSPI-Europe) the EAAD model is enhanced by other evidence based interventions and implemented simultaneously and in standardised way in four regions in Ireland, Portugal, Hungary and Germany.The enhanced intervention will be evaluated using a prospective controlled design with the primary outcomes being composite suicidal acts (fatal and non-fatal), and with intermediate outcomes being the effect of training programs, changes in public attitudes, guideline-consistent media reporting. In addition an analysis of the economic costs and consequences will be undertaken, while a process evaluation will monitor implementation of the interventions within the different regions with varying organisational and healthcare contexts.DiscussionThis multi-centre research seeks to overcome major challenges of field research in suicide prevention. It pools data from four European regions, considerably increasing the study sam-ple, which will be close to one million. In addition, the study will gather important information concerning  the potential to transfer this multilevel program to other health care systems. The results of this research will provide a basis for developing an evidence-based, efficient con-cept for suicide prevention for EU-member states.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/428</link>
                <dc:creator>Ulrich Hegerl</dc:creator>
                <dc:creator>Lisa Wittenburg</dc:creator>
                <dc:creator>Ella Arensmann</dc:creator>
                <dc:creator>Chantal Van Audenhove</dc:creator>
                <dc:creator>James Coyne</dc:creator>
                <dc:creator>David McDaid</dc:creator>
                <dc:creator>Christina van der Feltz-Cornelis</dc:creator>
                <dc:creator>Ricardo Gusmao</dc:creator>
                <dc:creator>Maria Kopp</dc:creator>
                <dc:creator>Margret Maxwell</dc:creator>
                <dc:creator>Ullrich Meise</dc:creator>
                <dc:creator>Saska Roskar</dc:creator>
                <dc:creator>Marco Sarchiapone</dc:creator>
                <dc:creator>Armin Schmidtke</dc:creator>
                <dc:creator>Airi Varnik</dc:creator>
                <dc:creator>Anke Bramesfeld</dc:creator>
                <dc:source>BMC Public Health 2009, 9:428</dc:source>
        <dc:date>2009-11-23T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-428</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>428</prism:startingPage>
        <prism:publicationDate>2009-11-23T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/427">
        <title>Evaluating the effectiveness of psychosocial resilience training for heart health, and the added value of promoting physical activity: a cluster randomized trial of the READY program.</title>
        <description>Background:
Depression and poor social support are significant risk factors for coronary heart disease (CHD), and stress and anxiety can trigger coronary events. People experiencing such psychosocial difficulties are more likely to be physically inactive, which is also an independent risk factor for CHD. Resilience training can target these risk factors, but there is little research evaluating the effectiveness of programs. This paper describes the design and measures of a study to evaluate a resilience training program (READY) to promote psychosocial well-being for heart health, and the added value of integrating physical activity promotion.
Methods:
In a cluster randomized trial, 95 participants will be allocated to either a waitlist or one of two intervention conditions. Both intervention conditions will receive a 10x2.5 hour group resilience training program (READY) over 13 weeks. The program targets five protective factors identified from empirical evidence and analyzed as mediating variables: positive emotions, cognitive flexibility, social support, life meaning, and active coping. Resilience enhancement strategies reflect the six core Acceptance and Commitment Therapy processes (values, mindfulness, defusion, acceptance, self-as-context, committed action) and Cognitive Behavior Therapy strategies such as relaxation training and social support building skills. Sessions include psychoeducation, discussions, experiential exercises, and home assignments. One intervention condition will include an additional session and ongoing content promoting physical activity. Measurement will occur at baseline, post intervention, and at eight weeks follow-up, and will include questionnaires, pedometer step logs, and physical and hematological measures. Primary outcome measures will include self-reported indicators of psychosocial well-being and depression. Secondary outcome measures will include self-reported indicators of stress, anxiety and physical activity, and objective indicators of CHD risk (blood glucose, cholesterol, triglycerides, blood pressure). Process measures of attendance, engagement and fidelity will also be conducted. Linear analyses will be used to examine group differences in the outcome measures, and the product of coefficients method will be used to examine mediated effects.DiscussionIf successful, this program will provide an innovative means by which to promote psychosocial well-being for heart health in the general population. The program could also be adapted to promote well-being in other at risk population subgroups.Trial registration ACTRN12608000017325.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/427</link>
                <dc:creator>Nicola Burton</dc:creator>
                <dc:creator>Kenneth Pakenham</dc:creator>
                <dc:creator>Wendy Brown</dc:creator>
                <dc:source>BMC Public Health 2009, 9:427</dc:source>
        <dc:date>2009-11-23T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-427</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>427</prism:startingPage>
        <prism:publicationDate>2009-11-23T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/426">
        <title>Trend of obesity and abdominal obesity in Tehranian adults: a cohort study </title>
        <description>Background:
Considering the increasing trend of obesity reported in current data, this study was conducted to examine trends of obesity and abdominal obesity among Tehranian adults during a median follow-up of 6.6 years.
Methods:
Height and weight of 4402 adults, aged 20 years and over, participants of the Tehran Lipid and Glucose Study (TLGS), were measured in 1999-2001(phase I) and again in 2002-2005(phase II) and 2006-2008 (phase III). Criteria used for obesity and abdominal obesity defined body mass index (BMI) [greater than or equal to]30 and waist circumference[greater than or equal to] 94/80 cm for men/women respectively. Subjects were divided into10-year groups and the prevalence of obesity was compared across sex and age groups.
Results:
The prevalence of obesity was 15.8, 18.6 and 21% in men and 31.5, 37.7 and 38.6% in women in phases I, II and III respectively (p&lt;0.001). The prevalence of abdominal obesity in men was 36.5, 57.2 and 63.3% and in women was 76.7, 83.8 and 83.6% in the three periods mentioned (p&lt;0.001). Men aged between20-29 years had highest rate of increased obesity (23.8%) and abdominal obesity (88.3%). In both sexes, an increased trend was observed between phases I and II, whereas between phases II and III, this trend was observed in men, but not in women.
Conclusion:
This study demonstrates alarming rises in the prevalences of both obesity and abdominal obesity in both sexes especially in young men, calling for urgent action to educate people in lifestyle modifications.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/426</link>
                <dc:creator>Farhad Hosseinpanah</dc:creator>
                <dc:creator>Maryam Barzin</dc:creator>
                <dc:creator>Parvin Sarbakhsh Eskandary</dc:creator>
                <dc:creator>Parvin Mirmiran</dc:creator>
                <dc:creator>Fereidoun Azizi</dc:creator>
                <dc:source>BMC Public Health 2009, 9:426</dc:source>
        <dc:date>2009-11-23T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-426</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>426</prism:startingPage>
        <prism:publicationDate>2009-11-23T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/425">
        <title>Non-response bias in physical activity trend estimates</title>
        <description>Background:
Increases in reported leisure time physical activity (PA) and obesity have been observed in several countries. One hypothesis for these apparently contradictory trends is differential bias in estimates over time. The purpose of this short report is to examine the potential impact of changes in response rates over time on the prevalence of adequate PA in Canadian adults.
Methods:
Participants were recruited in representative national telephone surveys of PA from 1995-2007. Differences in PA prevalence estimates between participants and those hard to reach were assessed using Student&apos;s t tests adjusted for multiple comparisons.
Results:
The number of telephone calls required to reach and speak with someone in the household increased over time, as did the percentage of selected participants who initially refused during the first interview attempt. A higher prevalence of adequate PA was observed with 5-9 attempts to reach anyone in the household in 1999-2002, but this was not significant after adjustment for multiple comparisons.
Conclusions:
No significant impact on PA trend estimates was observed due to differential non response rates. It is important for health policy makers to understand potential biases and how these may affect secular trends in all aspects of the energy balance equation.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/425</link>
                <dc:creator>Cora Craig</dc:creator>
                <dc:creator>Christine Cameron</dc:creator>
                <dc:creator>Joe Griffiths</dc:creator>
                <dc:creator>Adrian Bauman</dc:creator>
                <dc:creator>Catrine Tudor-Locke</dc:creator>
                <dc:creator>Ross Andersen</dc:creator>
                <dc:source>BMC Public Health 2009, 9:425</dc:source>
        <dc:date>2009-11-22T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-425</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>425</prism:startingPage>
        <prism:publicationDate>2009-11-22T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/424">
        <title>Participant recruitment and retention in a pilot program to prevent weight gain in low-income overweight and obese mothers</title>
        <description>Background  Recruitment and retention are key functions for programs promoting nutrition and other lifestyle behavioral changes in low-income populations.  This paper describes strategies for recruitment and retention and presents predictors of early (two-month post intervention) and late (eight-month post intervention) dropout (non retention) and overall retention among young, low-income overweight and obese mothers participating in a community-based randomized pilot trial called Mothers In Motion.Methods  Low-income overweight and obese African American and white mothers ages 18 to 34 were recruited from the Special Supplemental Nutrition Program for Women, Infants, and Children in southern Michigan.  Participants (n = 129) were randomly assigned to an intervention (n = 64) or control (n = 65) group according to a stratification procedure to equalize representation in two racial groups (African American and white) and three body mass index categories (25.0-29.9 kg/m2, 30.0-34.9 kg/m2, and 35.0-39.9 kg/m2).  The 10-week theory-based culturally sensitive intervention focused on healthy eating, physical activity, and stress management messages that were delivered via an interactive DVD and reinforced by five peer-support group teleconferences.  Forward stepwise multiple logistic regression was performed to examine whether dietary fat, fruit and vegetable intake behaviors, physical activity, perceived stress, positive and negative affect, depression, and race predicted dropout as data were collected two- month and eight-month after the active intervention phase.Results  Trained personnel were successful in recruiting subjects.  Increased level of depression was a predictor of early dropout (odds ratio = 1.04; 95% CI = 1.00, 1.08; p = 0.03).  Greater stress predicted late dropout (odds ratio = 0.20; 95% CI = 0.00, 0.37; p = 0.01).  Dietary fat, fruit, and vegetable intake behaviors, physical activity, positive and negative affect, and race were not associated with either early or late dropout.  Less negative affect was a marginal predictor of participant retention (odds ratio = 0.57; 95% CI = 0.31, 1.03; p = 0.06).
Conclusions:
Dropout rates in this study were higher for participants who reported higher levels of depression and stress.Trial registration: Current Controlled Trials NCT00944060</description>
        <link>http://www.biomedcentral.com/1471-2458/9/424</link>
                <dc:creator>Mei-Wei Chang</dc:creator>
                <dc:creator>Roger Brown</dc:creator>
                <dc:creator>Susan Nitzke</dc:creator>
                <dc:source>BMC Public Health 2009, 9:424</dc:source>
        <dc:date>2009-11-21T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-424</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>424</prism:startingPage>
        <prism:publicationDate>2009-11-21T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/423">
        <title>How do healthcare consumers process and evaluate comparative healthcare information? A qualitative study using cognitive interviews. </title>
        <description>Background:
To date, online public healthcare reports have not been effectively used by consumers. Therefore, we qualitatively examined how healthcare consumers process and evaluate comparative healthcare information on the Internet.
Methods:
Using semi-structured cognitive interviews, interviewees (n=20) were asked to think aloud and answer questions, as they were prompted with three Dutch web pages providing comparative healthcare information.
Results:
We identified twelve themes from consumers&apos; thoughts and evaluations. These themes were categorized under four important areas of interest: (1) a response to the design; (2) a response to the information content; (3) the use of the information, and (4) the purpose of the information.
Conclusions:
Several barriers to an effective use of comparative healthcare information were identified, such as too much information and the ambiguity of terms presented on websites.  Particularly important for future research is the question of how comparative healthcare information can be integrated with alternative information, such as patient reviews on the Internet. Furthermore, the readability of quality of care concepts is an issue that needs further attention, both from websites and communication experts.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/423</link>
                <dc:creator>Olga Damman</dc:creator>
                <dc:creator>Michelle Hendriks</dc:creator>
                <dc:creator>Jany Rademakers</dc:creator>
                <dc:creator>Diana Delnoij</dc:creator>
                <dc:creator>Peter Groenewegen</dc:creator>
                <dc:source>BMC Public Health 2009, 9:423</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-423</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>423</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/422">
        <title>Effects of the El Nino-Southern Oscillation on dengue epidemics in Thailand, 1996-2005</title>
        <description>Background:
Despite intensive vector control efforts, dengue epidemics continue to occur throughout Southeast Asia in multi-annual cycles. Weather is considered an important factor in these cycles, but the extent to which the El Nino-Southern Oscillation (ENSO) is a driving force behind dengue epidemics remains unclear.
Methods:
We examined the temporal relationship between El Nino and the occurrence of dengue epidemics, and constructed Poisson autoregressive models for incidences of dengue cases. Global ENSO records, dengue surveillance data, and local meteorological data in two geographically diverse regions in Thailand (the tropical southern coastal region and the northern inland mountainous region) were analyzed.
Results:
The strength of El Nino was consistently a predictor for the occurrence of dengue epidemics throughout time lags from 1 to 11 months in the two selected regions of Thailand. Up to 22% (in 8 northern inland mountainous provinces) and 15% (in 5 southern tropical coastal provinces) of the variation in the monthly incidence of dengue cases were attributable to global ENSO cycles. Province-level predictive models were fitted using 1996-2004 data and validated with out-of-fit data from 2005. The multivariate ENSO index was an independent predictor in 10 of the 13 studied provinces.
Conclusions:
El Nino is one of the important driving forces for dengue epidemics across the geographically diverse regions of Thailand; however, spatial heterogeneity in the effect exists. The effects of El Nino should be taken into account in future epidemic forecasting for public health preparedness.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/422</link>
                <dc:creator>Mathuros Tipayamongkholgul</dc:creator>
                <dc:creator>Chi-Tai Fang</dc:creator>
                <dc:creator>Suratsawadee Klinchan</dc:creator>
                <dc:creator>Chung-Ming Liu</dc:creator>
                <dc:creator>Chwan-Chuen King</dc:creator>
                <dc:source>BMC Public Health 2009, 9:422</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-422</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>422</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2458/9/421">
        <title>Accuracy and Usefulness of BMI Measures based on Self-Reported Weight and Height: Findings from the NHANES &amp; NHIS 2001-2006</title>
        <description>Background:
The Body Mass Index (BMI) based on self-reported height and weight (&quot;self-reported BMI&quot;) in epidemiologic studies is subject to measurement error. However, because of the ease and efficiency in gathering height and weight information through interviews, it remains important to assess the extent of error present in self-reported BMI measures and to explore possible adjustment factors as well as valid uses of such self-reported measures.
Methods:
Using the combined 2001-2006 data from the continuous National Health and Nutrition Examination Survey, discrepancies between BMI measures based self-reported and physical height and weight measures are estimated and socio-demographic predictors of such discrepancies are identified. Employing adjustments derived from the socio-demographic predictors, the self-reported measures of height and weight in the 2001-2006 National Health Interview Survey are used for population estimates of overweight &amp; obesity as well as the prediction of health risks associated with large BMI values. The analysis relies on two-way frequency tables as well as linear and logistic regression models. All point and variance estimates take into account the complex survey design of the studies involved.
Results:
Self-reported BMI values tend to overestimate measured BMI values at the low end of the BMI scale (&lt;22) and underestimate BMI values at the high end, particularly at values &gt;28. The discrepancies also vary systematically with age (younger and older respondents underestimate their BMI more than respondents aged 42-55), gender and the ethnic/racial background of the respondents. BMI scores, adjusted for socio-demographic characteristics of the respondents, tend to narrow, but do not eliminate misclassification of obese people as merely overweight, but health risk estimates associated with variations in BMI values are virtually the same, whether based on adjusted self-report or measured BMI values.
Conclusion:
BMI values based on self-reported height and weight, if corrected for biases associated with socio-demographic characteristics of the survey respondents, can be used to estimate health risks associated with variations in BMI, particularly when using parametric prediction models.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/421</link>
                <dc:creator>Manfred Stommel</dc:creator>
                <dc:creator>Charlotte Schoenborn</dc:creator>
                <dc:source>BMC Public Health 2009, 9:421</dc:source>
        <dc:date>2009-11-19T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-421</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>421</prism:startingPage>
        <prism:publicationDate>2009-11-19T00:00:00Z</prism:publicationDate>
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        <title>Protocol: Transmission and prevention of influenza in Hutterites:  Zoonotic transmission of influenza A:  swine &amp; swine workers</title>
        <description>Background:
Among swine, reassortment of influenza virus genes from birds, pigs, and humans could generate influenza viruses with pandemic potential.  Humans with acute infection might also be a source of infection for swine production units. This article describes the study design and methods being used to assess influenza A transmission between swine workers and pigs. We hypothesize that transmission of swine influenza viruses to humans, transmission of human influenza viruses to swine, and reassortment of human and swine influenza A viruses is occurring.  The project is part of a Team Grant; all Team Grant studies include active surveillance for influenza among Hutterite swine farmers in Alberta, Canada.  This project also includes non-Hutterite swine farms that are experiencing swine respiratory illness.
Methods:
Nurses conduct active surveillance for influenza-like-illness (ILI), visiting participating communally owned and operated Hutterite swine farms twice weekly.  Nasopharyngeal swabs and acute and convalescent sera are obtained from persons with any two such symptoms.  Swabs are tested for influenza A and B by a real time RT-PCR (reverse transcriptase polymerase chain reaction) at the Alberta Provincial Laboratory for Public Health (ProvLab).   Test-positive participants are advised that they have influenza.  The occurrence of test-positive swine workers triggers sampling (swabbing, acute and convalescent serology) of the swine herd by veterinarians.  Specimens obtained from swine are couriered to St. Jude Children&apos;s Research Hospital, Memphis, TN for testing.  Veterinarians and herd owners are notified if animal specimens are test- positive for influenza.  If swine ILI occurs, veterinarians obtain samples from the pigs; test-positives from the animals trigger nurses to obtain specimens (swabbing, acute and convalescent serology) from the swine workers.  ProvLab cultures influenza virus from human specimens, freezes these cultures and human sera, and ships them to St. Jude where sera will be examined for antibodies to swine and human influenza virus strains or reassortants.  Full length sequencing of all eight genes from the human and swine influenza isolates will be performed so that detailed comparisons can be performed between them.DiscussionThe declaration of pandemic influenza in June 2009, caused by a novel H1N1 virus that includes avian, swine and human genes, highlights the importance of investigations of human/swine influenza transmission.</description>
        <link>http://www.biomedcentral.com/1471-2458/9/420</link>
                <dc:creator>Margaret Russell</dc:creator>
                <dc:creator>Julia Keenliside</dc:creator>
                <dc:creator>Richard Webby</dc:creator>
                <dc:creator>Kevin Fonseca</dc:creator>
                <dc:creator>Pam Singh</dc:creator>
                <dc:creator>Lorraine Moss</dc:creator>
                <dc:creator>Mark Loeb</dc:creator>
                <dc:source>BMC Public Health 2009, 9:420</dc:source>
        <dc:date>2009-11-18T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2458-9-420</dc:identifier>
        <prism:publicationName>BMC Public Health</prism:publicationName>
        <prism:issn>1471-2458</prism:issn>
        <prism:volume>9</prism:volume>
        <prism:startingPage>420</prism:startingPage>
        <prism:publicationDate>2009-11-18T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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