75 research outputs found

    Syndromic Surveillance for Local Outbreaks of Lower-Respiratory Infections: Would It Work?

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    Background: Although syndromic surveillance is increasingly used to detect unusual illness, there is a debate whether it is useful for detecting local outbreaks. We evaluated whether syndromic surveillance detects local outbreaks of lower-respiratory infections (LRIs) without swamping true signals by false alarms. Methods and Findings: Using retrospective hospitalization data, we simulated prospective surveillance for LRI-elevations. Between 1999–2006, a total of 290762 LRIs were included by date of hospitalization and patients place of residence (>80% coverage, 16 million population). Two large outbreaks of Legionnaires disease in the Netherlands were used as positive controls to test whether these outbreaks could have been detected as local LRI elevations. We used a space-time permutation scan statistic to detect LRI clusters. We evaluated how many LRI-clusters were detected in 1999–2006 and assessed likely causes for the cluster-signals by looking for significantly higher proportions of specific hospital discharge diagnoses (e.g. Legionnaires disease) and overlap with regional influenza elevations. We also evaluated whether the number of space-time signals can be reduced by restricting the scan statistic in space or time. In 1999–2006 the scan-statistic detected 35 local LRI clusters, representing on average 5 clusters per year. The known Legionnaires' disease outbreaks in 1999 and 2006 were detected as LRI-clusters, since cluster-signals were generated with an increased proportion of Legionnaires disease patients (p:<0.0001). 21 other clusters coincided with local influenza and/or respiratory syncytial virus activity, and 1 cluster appeared to be a data artifact. For 11 clusters no likely cause was defined, some possibly representing as yet undetected LRI-outbreaks. With restrictions on time and spatial windows the scan statistic still detected the Legionnaires' disease outbreaks, without loss of timeliness and with less signals generated in time (up to 42% decline). Conclusions: To our knowledge this is the first study that systematically evaluates the performance of space-time syndromic surveillance with nationwide high coverage data over a longer period. The results show that syndromic surveillance can detect local LRI-outbreaks in a timely manner, independent of laboratory-based outbreak detection. Furthermore, since comparatively few new clusters per year were observed that would prompt investigation, syndromic hospital-surveillance could be a valuable tool for detection of local LRI-outbreaks. (aut. ref.

    Limited effect of highly active antiretroviral therapy among HIV-positive injecting drug users on the population level

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    There is evidence that HIV-positive injecting drug users benefit less than other risk groups from highly active antiretroviral therapy that has been available since 1996. In this multicentre European study the impact of the availability of highly active antiretroviral therapy on the progression rates to AIDS and death among injecting drug users with a documented date of HIV seroconversion is studied. After highly active antiretroviral therapy became available the risk of AIDS and death for injecting drug users decreased by 28% and 36%, which is less than has been reported for other risk group

    Spread of Hepatitis C Virus among European Injection Drug Users Infected with HIV: A Phylogenetic Analysis

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    To describe the spread of hepatitis C virus (HCV) among HCV/human immunodeficiency virus (HIV)-coinfected injection drug users (IDUs), the molecular epidemiology of HCV was studied among 108 IDUs from 7 European countries. Phylogenetic analysis based on the NS5B region showed great sequence variation of HCV within each country and no clear phylogenetic clustering by geographic region. The most prevalent subtypes were 1a and 3a, but the percentage of genotype 4 was also relatively high, ranging from 7% in northern Europe to 24% in southern Europe. Genotype 4 consisted mainly of subtype 4d and has entered the majority of the IDU populations studied. The significantly lower evolutionary distances within subtype 4d suggest that this subtype may have entered the European IDU population relatively recently. In conclusion, HCV exchange between European IDU populations has occurred on a large scale, and, overall, country-specific clustering for HCV was less than that shown for HI

    Comparing Pandemic to Seasonal Influenza Mortality: Moderate Impact Overall but High Mortality in Young Children

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    Background: We assessed the severity of the 2009 influenza pandemic by comparing pandemic mortality to seasonal influenza mortality. However, reported pandemic deaths were laboratory-confirmed - and thus an underestimation - whereas seasonal influenza mortality is often more inclusively estimated. For a valid comparison, our study used the same statistical methodology and data types to estimate pandemic and seasonal influenza mortality. Methods and Findings: We used data on all-cause mortality (1999-2010, 100% coverage, 16.5 million Dutch population) and influenza-like-illness (ILI) incidence (0.8% coverage). Data was aggregated by week and age category. Using generalized estimating equation regression models, we attributed mortality to influenza by associating mortality with ILI-incidence, while adjusting for annual shifts in association. We also adjusted for respiratory syncytial virus, hot/cold weather, other seasonal factors and autocorrelation. For the 2009 pandemic season, we estimated 612 (range 266-958) influenza-attributed deaths; for seasonal influen

    Real-time monitoring shows substantial excess all-cause mortality during second wave of COVID-19 in Europe, October to December 2020.

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    The European monitoring of excess mortality for public health action (EuroMOMO) network monitors weekly excess all-cause mortality in 27 European countries or subnational areas. During the first wave of the coronavirus disease (COVID-19) pandemic in Europe in spring 2020, several countries experienced extraordinarily high levels of excess mortality. Europe is currently seeing another upsurge in COVID-19 cases, and EuroMOMO is again witnessing a substantial excess all-cause mortality attributable to COVID-19.Funding statement: The EuroMOMO network hub at Statens Serum Institut receives funding from European Centre for Disease Prevention and Control, Solna, Sweden, through a framework contract 2017-2020.S

    Infection with concurrent multiple hepatitis C virus genotypes is associated with faster HIV disease progression

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    OBJECTIVE: To elucidate the importance of hepatitis C Virus (HCV) genotype in HIV disease progression. DESIGN: This study was conducted among 126 HIV/HCV co-infected drug users with a known interval of HIV seroconversion whose HCV genotype was known early in HIV infection. Both clinical progression (to AIDS) and immunological progression (to a CD4+ T-cell count of 200 x 10(6) cells/l) by HCV genotype were studied using Cox proportional hazards analysis. RESULTS: The median duration of follow-up was 7.3 years [interquartile range (IQR), 4.6-10.1 years]. The majority of the HCV infections concerned genotype 1 and genotype 3; The distribution was: HCV type 1: 48%, HCV type 3: 34%, HCV type 4: 13%, multiple HCV types: 5%. Concurrent multiple infections consisted of HCV genotypes 1b+3a, 1b+4 and 3a+4. HCV genotype 1 and multiple HCV genotype infections were associated with faster immunological progression [hazard ratio (HR), 2.02; 95% confidence interval (CI), 1.04-3.92 and HR, 2.74; 95% CI, 0.95-7.90, respectively]. Multiple HCV genotype infection was also associated with faster clinical progression (HR, 3.36; 95% CI, 0.82-13.79). These hazard ratios increased further and were all significant when analyses were limited to data in the pre-HAART era (HR, 3.92; 95% CI, 1.51-10.20; HR, 4.38; 95% CI, 1.04-18.40 and HR, 6.54; 95% CI, 1.39-30.76, respectively). CONCLUSION: HIV disease progression differs by HCV genotype and is especially faster in individuals whose HCV infection involves more than one HCV genotype. The effect of HCV genotype on HIV progression was greater in the pre-highly active antiretroviral therapy (HAART) era, suggesting that the effectiveness of HAART may diminish the effect of HCV genotype on HIV disease progressio

    Respiratory and circulatory deaths attributable to influenza A & B

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    ObjectiveTo estimate mortality attributable to influenza adjusted for othercommon respiratory pathogens, baseline seasonal trends and extremetemperatures.IntroductionAssigning causes of deaths to seasonal infectious diseases is difficultin part due to laboratory testing prior to death being uncommon. Sinceinfluenza (and other common respiratory pathogens) are thereforenotoriously underreported as a (contributing) cause of death in death-cause statistics modeling studies are commonly used to estimate theimpact of influenza on mortality.MethodsUsing primary cause of death (Statistics Netherlands) we modeledweekly timeseries of1) respiratory deaths (ICD10 codes J00-J99) and2) circulatory deaths (ICD10 codes I00-I99).We used regression models with an identity link and Poissonerror to relate mortality to counts of influenza A &amp; B diagnoses.We adjusted for other common respiratory pathogens (all pathogendata was at population level from the national laboratory surveillance),temperature (from the Dutch Royal Meteorological Institute), andbaseline linear and cyclical (i.e. seasonal) trends. To account forthe yearly variation in the severity of the main circulating influenzaA strain we used time dependent variables for influenza A (fixedat lag 0 – assuming a direct effect of influenza. For influenza Band the confoundig pathogens we considered a 0 tot -4 time lag(thus allowing infection to precede death for up to 4 weeks).We performed the analyses separately per death cause group and by3 different age groups (0-64, 65-74,75+ years) over a 14-year time-period (mid 1999-mid 2013, thus 14 complete winter seasons).ResultsIn the Netherlands on average 2,636 all cause deaths occurper week varying by season (lower in summer min: 2,219 and higherin winter max: 3,564) with yearly incidence ranging from 20/10,000in 0-64 year olds to 885/10,000 in 75-plus year olds.Circulatory mortality (31% of total deaths) was higher thanrespiratory mortality (10% of total deaths) and both showed clearseasonality in all age-groups. Overall, 0.14% of all deaths wereactually coded as influenza deaths.Preliminary model estimates showed that the proportion ofrespiratory deaths attributable to influenza A were quite similar for 0-64and 65-74 year olds but higher in 75+ (5.1%, 5.7%, 7.0% respectively)while this proportion was stable across age-groups for circulatorydeaths (approximately 1.5% in all agegroups for influenza A).Influenza B was significantly associated with respiratory deathsand circulatory deaths in the oldest age group of 75+ years(with proportions of 0.7% and 0.2% respectively) while in the65-74 year olds it was associated only with circulatory deaths (0.2%).Influenza B was not significantly associated with either respiratory orcirculatory mortality in the 0-64 year age group.On average, yearly in the 75+ age group 70/10,000 respiratorydeaths and 39/10,000 circulatory deaths were attributable to influenzaA. For influenza B the incidences were 7 to 10 fold lower (7/10,000and 6/10,000 respectively).ConclusionsInfluenza A was significantly associated with respiratory andcirculatory mortality in all age groups while influenza B wassignificantly associated with respiratory and circulatory mortality inthe elderly only
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