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  • Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection.

    Jombart, Thibaut; Ghozzi, Stéphane; Schumacher, Dirk; Taylor, Timothy J; Leclerc, Quentin J; Jit, Mark; Flasche, Stefan; Greaves, Felix; Ward, Tom; Eggo, Rosalind M; et al. (The Royal Society, 2021-05-31)
    As several countries gradually release social distancing measures, rapid detection of new localized COVID-19 hotspots and subsequent intervention will be key to avoiding large-scale resurgence of transmission. We introduce ASMODEE (automatic selection of models and outlier detection for epidemics), a new tool for detecting sudden changes in COVID-19 incidence. Our approach relies on automatically selecting the best (fitting or predicting) model from a range of user-defined time series models, excluding the most recent data points, to characterize the main trend in an incidence. We then derive prediction intervals and classify data points outside this interval as outliers, which provides an objective criterion for identifying departures from previous trends. We also provide a method for selecting the optimal breakpoints, used to define how many recent data points are to be excluded from the trend fitting procedure. The analysis of simulated COVID-19 outbreaks suggests ASMODEE compares favourably with a state-of-art outbreak-detection algorithm while being simpler and more flexible. As such, our method could be of wider use for infectious disease surveillance. We illustrate ASMODEE using publicly available data of National Health Service (NHS) Pathways reporting potential COVID-19 cases in England at a fine spatial scale, showing that the method would have enabled the early detection of the flare-ups in Leicester and Blackburn with Darwen, two to three weeks before their respective lockdown. ASMODEE is implemented in the free R package trendbreaker. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'.
  • Needs for an Integration of Specific Data Sources and Items - First Insights of a National Survey Within the German Center for Infection Research.

    Jakob, Carolin E M; Stecher, Melanie; Fuhrmann, Sandra; Wingen-Heimann, Sebastian; Heinen, Stephanie; Anton, Gabriele; Behnke, Michael; Behrends, Uta; Boeker, Martin; Castell, Stefanie; et al. (IOS Press, 2021-05-24)
    State-subsidized programs develop medical data integration centers in Germany. To get infection disease (ID) researchers involved in the process of data sharing, common interests and minimum data requirements were prioritized. In 06/2019 we have initiated the German Infectious Disease Data Exchange (iDEx) project. We have developed and performed an online survey to determine prioritization of requests for data integration and exchange in ID research. The survey was designed with three sub-surveys, including a ranking of 15 data categories and 184 specific data items and a query of available 51 data collecting systems. A total of 84 researchers from 17 fields of ID research participated in the survey (predominant research fields: gastrointestinal infections n=11, healthcare-associated and antibiotic-resistant infections n=10, hepatitis n=10). 48% (40/84) of participants had experience as medical doctor. The three top ranked data categories were microbiology and parasitology, experimental data, and medication (53%, 52%, and 47% of maximal points, respectively). The most relevant data items for these categories were bloodstream infections, availability of biomaterial, and medication (88%, 87%, and 94% of maximal points, respectively). The ranking of requests of data integration and exchange is diverse and depends on the chosen measure. However, there is need to promote discipline-related digitalization and data exchange.
  • Effect modification of the association between comorbidities and severe course of COVID-19 disease by age of study participants: a systematic review and meta-analysis.

    Fernández Villalobos, Nathalie Verónica; Ott, Jördis Jennifer; Klett-Tammen, Carolina Judith; Bockey, Annabelle; Vanella, Patrizio; Krause, Gérard; Lange, Berit; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (BMC, 2021-06-30)
    Adjusting the protecting group strategy, from an alkyl ether to a bidentate ketal at the carbohydrate backbone of uridine, facilitates a switchable diastereoselective α- or β-C4'/C5'-spirocyclopropanation. Using these spirocyclopropanated nucleosides as key intermediates, we synthesized a variety of C4'-methylated d-ribose and l-lyxose-configured uridine derivatives by a base-mediated ring-opening of the spirocyclopropanol moiety. Investigations of antiviral activity against the human respiratory syncytial virus were carried out for selected derivatives, showing moderate activity.
  • Der Einfluss des Klimawandels auf die Ausbreitung von Infektionserkrankungen – am Beispiel der Lyme-Borreliose

    Lotto-Batista, Martín; Behrens, Christiane; Castell, Stefanie; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (Medizinisch Wissenschaftliche Verlagsgesellschaft, 2021-06-07)
    Durch Zecken übertragene Erkrankungen gehören zu den häufigsten klimasensitiven Infektionserkrankungen auf der Nordhalbkugel. Lyme-Borreliose weist dabei die höchste Prävalenz unter diesen Erkrankungen in Europa, wo Ixodes ricinus (Gemeiner Holzbock) sehr verbreitet ist, auf. Mit fortschreitendem Klimawandel ändern sich die Bedingungen für die Verbreitung von Zeckenpopulationen, zum einen aufgrund von Temperatur- oder Niederschlagsver- änderungen, zum anderen wegen Änderungen in der Landnutzung sowie im menschlichen Verhalten. Während für Nordeuropa eine vermehrte Ausbreitung der Zecken erwartet wird, könnten vermehrte Trockenheit und Hitzeepisoden einen Rückgang der Zeckenpopulationen in mittleren und südlichen Regionen, die gegenwärtig Risikogebiete sind, bewirken. Folglich könnte Deutschland von den schlechteren Bedingungen für das Überleben von Zecken profitieren. Dennoch ist das komplexe System, das zur Entwicklung der Borreliose-Fallzahlen beiträgt, flexibel genug, um diesen Klimaeffekten entgegenzuwirken. Weitere Forschungsarbeiten sind notwendig, um die Auswirkungen des Klimawandels auf das Risiko von Borreliose in Deutschland vorhersagen zu können. Wenn immer mehr detailliertere Klimaprojektionen verfügbar werden, sollten Vorhersagen, die zu verbesserten oder regional spezifischeren Public Health-Empfehlungen in naher Zukunft sichtbar sein.
  • Maintaining a gendered perspective in scientific meetings during the COVID-19 pandemic.

    Lange, Berit; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (Lancet, 2020-03-14)
    [No abstract available]
  • Exploring beyond clinical routine SARS-CoV-2 serology using MultiCoV-Ab to evaluate endemic coronavirus cross-reactivity.

    Becker, Matthias; Strengert, Monika; Junker, Daniel; Kaiser, Philipp D; Kerrinnes, Tobias; Traenkle, Bjoern; Dinter, Heiko; Häring, Julia; Ghozzi, Stéphane; Zeck, Anne; et al. (NPG, 2021-02-19)
    The humoral immune response to SARS-CoV-2 is a benchmark for immunity and detailed analysis is required to understand the manifestation and progression of COVID-19, monitor seroconversion within the general population, and support vaccine development. The majority of currently available commercial serological assays only quantify the SARS-CoV-2 antibody response against individual antigens, limiting our understanding of the immune response. To overcome this, we have developed a multiplex immunoassay (MultiCoV-Ab) including spike and nucleocapsid proteins of SARS-CoV-2 and the endemic human coronaviruses. Compared to three broadly used commercial in vitro diagnostic tests, our MultiCoV-Ab achieves a higher sensitivity and specificity when analyzing a well-characterized sample set of SARS-CoV-2 infected and uninfected individuals. We find a high response against endemic coronaviruses in our sample set, but no consistent cross-reactive IgG response patterns against SARS-CoV-2. Here we show a robust, high-content-enabled, antigen-saving multiplex assay suited to both monitoring vaccination studies and facilitating epidemiologic screenings for humoral immunity towards pandemic and endemic coronaviruses.
  • The Impact of the COVID-19 Pandemic on Self-Reported Health.

    Peters, Annette; Rospleszcz, Susanne; Greiser, Karin H; Dallavalle, Marco; Berger, Klaus; German National Cohort; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.
    Background: The pandemic caused by the coronavirus SARS-CoV-2 and the countermeasures taken to protect the public are having a substantial effect on the health of the population. In Germany, nationwide protective measures to halt the spread of the virus were implemented in mid-March for 6 weeks. Methods: In May, the impact of the pandemic was assessed in the German National Cohort (NAKO). A total of 113 928 men and women aged 20 to 74 years at the time of the baseline examination conducted 1 to 5 years earlier (53%) answered, within a 30-day period, a follow-up questionnaire on SARS-CoV-2 test status, COVID-19- associated symptoms, and self-perceived health status. Results: The self-reported SARS-CoV-2 test frequency among the probands was 4.6%, and 344 participants (0.3%) reported a positive test result. Depressive and anxiety-related symptoms increased relative to baseline only in participants under 60 years of age, particularly in young women. The rate of moderate to severe depressive symptoms increased from 6.4% to 8.8%. Perceived stress increased in all age groups and both sexes, especially in the young. The scores for mental state and self-rated health worsened in participants tested for SARS-CoV-2 compared with those who were not tested. In 32% of the participants, however, self-rated health improved. Conclusion: The COVID-19 pandemic and the protective measures during the first wave had effects on mental health and on self-rated general health.
  • Das gemeinsame Interesse von Gesundheit und Wirtschaft: Eine Szenarienrechnung zur Eindämmung der Corona Pandemie

    Dorn, Florian; et al.; BRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56,38106 Braunschweig, Germany.; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (ifo Institut, 2020-05-12)
    [No Abstract available]
  • User preferences for a mobile application to report adverse events following vaccination.

    Nguyen, M T H; Ott, J J; Caputo, M; Keller-Stanislawski, B; Klett-Tammen, C J; Linnig, S; Mentzer, D; Krause, G; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (Ingenta Connect, 2020-01-01)
    The passive surveillance system is an important tool in pharmacovigilance of vaccines. However, reporting of adverse events following immunization (AEFI) post-marketing has limitations regarding under-reporting, biased reports and lack of exposure data resulting in imprecise estimates. New mobile application technology may provide an opportunity for an enhanced surveillance. A pre-requisite for the use of new app-based technology is to identify practical challenges and end users' preferences for design of app-features. The objectives were (i) to investigate the recruitment and feasibility of an app-based study in Germany, (ii) to assess individuals' motivation to participate in such a study and (iii) to identify app-features for reporting AEFI. We conducted a cross-sectional study among employees of a financial institution who attended the occupational health office during the seasonal influenza vaccination in November 2017. Participants tested feasibility and assessed an app prototype for AEFI reporting by using a case vignette and a questionnaire. Of the 153 attending employees, 65 (42%) agreed to participate and returned the questionnaire. Twenty-three (63%) rated the experience of reporting AEFI with the app prototype to be positive. Among three features offered for gamification, collecting points was most frequently chosen (n=22, 34%). The main reason for declining participation was the apprehension about data protection (n=28, 43%). Results suggest that the app-based technology was well accepted and is a suitable supplement for AEFI reporting and in our study. A convincing data protection concept is likely to enhance acceptability of such a system.
  • The transplant cohort of the German center for infection research (DZIF Tx-Cohort): study design and baseline characteristics.

    Karch, André; Schindler, Daniela; Kühn-Steven, Andrea; Blaser, Rainer; Kuhn, Klaus A; Sandmann, Lisa; Sommerer, Claudia; Guba, Markus; Heemann, Uwe; Strohäker, Jens; et al. (Springer, 2021-01-25)
    Infectious complications are the major cause of morbidity and mortality after solid organ and stem cell transplantation. To better understand host and environmental factors associated with an increased risk of infection as well as the effect of infections on function and survival of transplanted organs, we established the DZIF Transplant Cohort, a multicentre prospective cohort study within the organizational structure of the German Center for Infection Research. At time of transplantation, heart-, kidney-, lung-, liver-, pancreas- and hematopoetic stem cell- transplanted patients are enrolled into the study. Follow-up visits are scheduled at 3, 6, 9, 12 months after transplantation, and annually thereafter; extracurricular visits are conducted in case of infectious complications. Comprehensive standard operating procedures, web-based data collection and monitoring tools as well as a state of the art biobanking concept for blood, purified PBMCs, urine, and faeces samples ensure high quality of data and biosample collection. By collecting detailed information on immunosuppressive medication, infectious complications, type of infectious agent and therapy, as well as by providing corresponding biosamples, the cohort will establish the foundation for a broad spectrum of studies in the field of infectious diseases and transplant medicine. By January 2020, baseline data and biosamples of about 1400 patients have been collected. We plan to recruit 3500 patients by 2023, and continue follow-up visits and the documentation of infectious events at least until 2025. Information about the DZIF Transplant Cohort is available at https://www.dzif.de/en/working-group/transplant-cohort .
  • Development of the reproduction number from coronavirus SARS-CoV-2 case data in Germany and implications for political measures.

    Khailaie, Sahamoddin; Mitra, Tanmay; Bandyopadhyay, Arnab; Schips, Marta; Mascheroni, Pietro; Vanella, Patrizio; Lange, Berit; Binder, Sebastian C; Meyer-Hermann, Michael; BRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56,38106 Braunschweig, Germany.; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (BioMedCentral, 2021-01-28)
    Background: SARS-CoV-2 has induced a worldwide pandemic and subsequent non-pharmaceutical interventions (NPIs) to control the spread of the virus. As in many countries, the SARS-CoV-2 pandemic in Germany has led to a consecutive roll-out of different NPIs. As these NPIs have (largely unknown) adverse effects, targeting them precisely and monitoring their effectiveness are essential. We developed a compartmental infection dynamics model with specific features of SARS-CoV-2 that allows daily estimation of a time-varying reproduction number and published this information openly since the beginning of April 2020. Here, we present the transmission dynamics in Germany over time to understand the effect of NPIs and allow adaptive forecasts of the epidemic progression. Methods: We used a data-driven estimation of the evolution of the reproduction number for viral spreading in Germany as well as in all its federal states using our model. Using parameter estimates from literature and, alternatively, with parameters derived from a fit to the initial phase of COVID-19 spread in different regions of Italy, the model was optimized to fit data from the Robert Koch Institute. Results: The time-varying reproduction number (Rt) in Germany decreased to <1 in early April 2020, 2-3 weeks after the implementation of NPIs. Partial release of NPIs both nationally and on federal state level correlated with moderate increases in Rt until August 2020. Implications of state-specific Rt on other states and on national level are characterized. Retrospective evaluation of the model shows excellent agreement with the data and usage of inpatient facilities well within the healthcare limit. While short-term predictions may work for a few weeks, long-term projections are complicated by unpredictable structural changes. Conclusions: The estimated fraction of immunized population by August 2020 warns of a renewed outbreak upon release of measures. A low detection rate prolongs the delay reaching a low case incidence number upon release, showing the importance of an effective testing-quarantine strategy. We show that real-time monitoring of transmission dynamics is important to evaluate the extent of the outbreak, short-term projections for the burden on the healthcare system, and their response to policy changes.
  • Cohort Profile: The LoewenKIDS Study - life-course perspective on infections, the microbiome and the development of the immune system in early childhood.

    Gottschick, Cornelia; Raupach-Rosin, Heike; Langer, Susan; Hassan, Lamiaa; Horn, Johannes; Dorendorf, Evelyn; Caputo, Mahrrouz; Bittner, Martina; Beier, Lea; Rübsamen, Nicole; et al. (Oxford Academic, 2019-02-27)
    [Noabstract available]
  • Impact of non-pharmaceutical interventions targeted at COVID-19 pandemic on influenza burden - a systematic review.

    Fricke, Lara Marleen; Glöckner, Stephan; Dreier, Maren; Lange, Berit; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (Elsevier, 2020-12-03)
    Objectives: To better understand the impact of comprehensive COVID-19 targeted non-pharmaceutical interventions (NPIs) on influenza burden worldwide. Methods: We conducted a systematic literature search in selected databases (PubMed, WHO COVID-19), preprint servers (medRxiv, bioRxiv) and websites of European Public Health institutes. Documents that compared influenza estimates in the 2019/2020 season with previous seasons were included. Information synthesis was qualitative due to a high heterogeneity in the number and periods of comparative seasons, outcome measures and statistical methods. Results: We included 23 records reporting from 15 countries/regions as well as 8 reports from European Public Health agencies. Estimates in the 2019/2020 season based on influenza virus tests (4 out of 7 countries/regions), defined influenza cases (8 out of 9), influenza positivity rate (7 out of 8), and severe complications (1 out of 2) were lower than in former seasons. Results from syndromic indicators, such as influenza-like-illness (ILI), were less clear or even raised (4 out of 7) after the influenza season indicating a misclassification with COVID-19 cases. Conclusions: Evidence synthesis suggests that NPIs targeted at SARS-CoV-2-transmission reduce influenza burden as well. Low threshold NPIs need to be more strongly emphasized in influenza prevention strategies. Keywords: COVID-19; Flu; Influenza; Non-pharmaceutical interventions; SARS-CoV-2; Surveillance; Systematic review.
  • EventEpi-A natural language processing framework for event-based surveillance.

    Abbood, Auss; Ullrich, Alexander; Busche, Rüdiger; Ghozzi, Stéphane; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (PLOS, 2020-11-20)
    According to the World Health Organization (WHO), around 60% of all outbreaks are detected using informal sources. In many public health institutes, including the WHO and the Robert Koch Institute (RKI), dedicated groups of public health agents sift through numerous articles and newsletters to detect relevant events. This media screening is one important part of event-based surveillance (EBS). Reading the articles, discussing their relevance, and putting key information into a database is a time-consuming process. To support EBS, but also to gain insights into what makes an article and the event it describes relevant, we developed a natural language processing framework for automated information extraction and relevance scoring. First, we scraped relevant sources for EBS as done at the RKI (WHO Disease Outbreak News and ProMED) and automatically extracted the articles' key data: disease, country, date, and confirmed-case count. For this, we performed named entity recognition in two steps: EpiTator, an open-source epidemiological annotation tool, suggested many different possibilities for each. We extracted the key country and disease using a heuristic with good results. We trained a naive Bayes classifier to find the key date and confirmed-case count, using the RKI's EBS database as labels which performed modestly. Then, for relevance scoring, we defined two classes to which any article might belong: The article is relevant if it is in the EBS database and irrelevant otherwise. We compared the performance of different classifiers, using bag-of-words, document and word embeddings. The best classifier, a logistic regression, achieved a sensitivity of 0.82 and an index balanced accuracy of 0.61. Finally, we integrated these functionalities into a web application called EventEpi where relevant sources are automatically analyzed and put into a database. The user can also provide any URL or text, that will be analyzed in the same way and added to the database. Each of these steps could be improved, in particular with larger labeled datasets and fine-tuning of the learning algorithms. The overall framework, however, works already well and can be used in production, promising improvements in EBS. The source code and data are publicly available under open licenses.
  • Patient satisfaction & use of health care: a cross-sectional study of asylum seekers in the Freiburg initial reception centre.

    Bockey, Annabelle J; Janda, Aleš; Braun, Cornelia; Müller, Anne-Maria; Stete, Katarina; Kern, Winfried V; Rieg, Siegbert R; Lange, Berit; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (BMC, 2020-08-03)
    Background: In response to a high number of incoming asylum seekers and refugees (AS&R) in Germany, initial reception centres were established to provide immediate shelter, food and health support. This study evaluates the satisfaction with and use of the health care available at the Freiburg initial reception centre (FIRC) where an integrated health care facility (ICF) was set up in 2015. Methods: We assessed use and satisfaction with health services available to resident AS&R within and outside the FIRC in a cross-sectional design. Data were collected in 2017 using a questionnaire with both open and closed ended items. Results: The majority of 102 included participants were young (mean age 24.2; 95%CI 22.9-25.5, range 18-43) males (93%), from Sub-Saharan Africa (92%). High use frequencies were reported from returning patients of the ICF; with 56% fortnightly use and 19% daily use reported. The summary of satisfaction scores indicated that 84% (CI95 76-89%) of respondents were satisfied with the ICF. Multivariate analysis showed female gender and non-English speaking as risk factors for low satisfaction. Outside the FIRC, the satisfaction scores indicated that 60% of participants (95%CI 50-69%) were satisfied with the health care received. Conclusion: Our study shows that AS&R residing in the FIRC are generally satisfied with the services at the ICF, though strategies to enhance care for females and non-English speakers should be implemented. Satisfaction with health care outside of the FIRC was not as high, indicating the need to improve quality of care and linkage to regular health care services.
  • The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment.

    Tom-Aba, Daniel; Silenou, Bernard Chawo; Doerrbecker, Juliane; Fourie, Carl; Leitner, Carl; Wahnschaffe, Martin; Strysewske, Maté; Arinze, Chinedu Chukwujekwu; Krause, Gerard; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (JMIR publications, 2020-04-29)
    Background: Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response. Objective: The objective of this study was to evaluate the maturity of SORMAS using Digital Square's GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements. Methods: We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity. Results: The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity. Conclusions: To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity.
  • Development and external validation of a clinical prediction model for MRSA carriage at hospital admission in Southeast Lower Saxony, Germany.

    Raschpichler, Gabriele; Raupach-Rosin, Heike; Akmatov, Manas K; Castell, Stefanie; Rübsamen, Nicole; Feier, Birgit; Szkopek, Sebastian; Bautsch, Wilfried; Mikolajczyk, Rafael; Karch, André; et al. (Nature publishing group (NPG), 2020-10-22)
    In countries with low endemic Methicillin-resistant Staphylococcus aureus (MRSA) prevalence, identification of risk groups at hospital admission is considered more cost-effective than universal MRSA screening. Predictive statistical models support the selection of suitable stratification factors for effective screening programs. Currently, there are no universal guidelines in Germany for MRSA screening. Instead, a list of criteria is available from the Commission for Hospital Hygiene and Infection Prevention (KRINKO) based on which local strategies should be adopted. We developed and externally validated a model for individual prediction of MRSA carriage at hospital admission in the region of Southeast Lower Saxony based on two prospective studies with universal screening in Braunschweig (n = 2065) and Wolfsburg (n = 461). Logistic regression was used for model development. The final model (simplified to an unweighted score) included history of MRSA carriage, care dependency and cancer treatment. In the external validation dataset, the score showed a sensitivity of 78.4% (95% CI: 64.7-88.7%), and a specificity of 70.3% (95% CI: 65.0-75.2%). Of all admitted patients, 25.4% had to be screened if the score was applied. A model based on KRINKO criteria showed similar sensitivity but lower specificity, leading to a considerably higher proportion of patients to be screened (49.5%).
  • The impact of implementing HIV prevention policies therapy and control strategy among HIV and AIDS incidence cases in Malaysia.

    Apenteng, Ofosuhene O; Osei, Prince P; Oduro, Bismark; Kwabla, Mavis Pearl; Ismail, Noor Azina (Elsevier, 2020-09-30)
    Malaysia is faced with a high HIV/AIDS burden that poses a public health threat. We constructed and applied a compartmental model to understand the spread and control of HIV/AIDS in Malaysia. A simple model for HIV and AIDS disease that incorporates condom and uncontaminated needle-syringes interventions and addresses the relative impact of given treatment therapy for infected HIV newborns on reducing HIV and AIDS incidence is presented. We demonstrated how treatment therapy for new-born babies and the use of condoms or uncontaminated needle-syringes impact the dynamics of HIV in Malaysia. The model was calibrated to HIV and AIDS incidence data from Malaysia from 1986 to 2011. The epidemiological parameters are estimated using Bayesian inference via Markov chain Monte Carlo simulation method. The reproduction number optimal for control of the HIV/AIDS disease obtained suggests that the disease-free equilibrium was unstable during the 25 years. However, the results indicated that the use of condoms and uncontaminated needle-syringes are pivotal intervention control strategies; a comprehensive adoption of the intervention may help stop the spread of HIV disease. Treatment therapy for newborn babies is also of high value; it reduces the epidemic peak. The combined effect of condom use or uncontaminated needle-syringe is more pronounced in controlling the spread of HIV/AIDS.
  • Anosmia in COVID-19 patients.

    Hornuss, D; Lange, B; Schröter, N; Rieg, S; Kern, W V; Wagner, D; HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany. (Elsevier, 2020-05-22)
    No abstract available.
  • CSF neurogranin as a neuronal damage marker in CJD: a comparative study with AD.

    Blennow, Kaj; Diaz-Lucena, Daniela; Zetterberg, Henrik; Villar-Pique, Anna; Karch, Andre; Vidal, Enric; Hermann, Peter; Schmitz, Matthias; Ferrer Abizanda, Isidro; Zerr, Inga; et al. (BMJ Publishing Group, 2019-05-16)
    Objective: To investigate whether cerebrospinal fluid (CSF) neurogranin concentrations are altered in sporadic Creutzfeldt-Jakob disease (CJD), comparatively with Alzheimer's disease (AD), and associated with neuronal degeneration in brain tissue. Methods: CSF neurogranin, total tau, neurofilament light (NFL) and 14-3-3 protein were measured in neurological controls (NCs, n=64), AD (n=46) and CJD (n=81). The accuracy of neurogranin discriminating the three diagnostic groups was evaluated. Correlations between neurogranin and neurodegeneration biomarkers, demographic, genetic and clinical data were assessed. Additionally, neurogranin expression in postmortem brain tissue was studied. Results: Compared with NC, CSF neurogranin concentrations were increased in CJD (4.75 times of NC; p<0.001, area under curve (AUC), 0.96 (95% CI 0.93 to 0.99) and AD (1.94 times of NC; p<0.01, AUC 0.73, 95% CI 0.62 to 0.82), and were able to differentiate CJD from AD (p<0.001, AUC 0.85, 95% CI 0.78 to 0.92). CSF tau was increased in CJD (41 times of NC) and in AD (3.1 times of NC), both at p<0.001. In CJD, neurogranin positively correlated with tau (r=0.55, p<0.001) and was higher in 14-3-3-positivity (p<0.05), but showed no association with NFL (r=0.08, p=0.46). CJD-MM1/MV1 cases displayed higher neurogranin levels than VV2 cases. Neurogranin was increased at early CJD disease stages and was a good prognostic marker of survival time in CJD. In brain tissue, neurogranin was detected in the cytoplasm, membrane and postsynaptic density fractions of neurons, with reduced levels in AD, and more significantly in CJD, where they correlated with synaptic and axonal markers. Conclusions: Neurogranin is a new biomarker of prion pathogenesis with diagnostic and prognostic abilities, which reflects the degree of neuronal damage in brain tissue in a CJD subtype manner. Keywords: alzheimer’s disease; cerebrospinal fluid; creutzfeldt-jakob disease; neurodegenerative dementias; neurofilament light; neurogranin; tau.

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