An operational robotic pollen monitoring network based on automatic image recognition.

There is high demand for online, real-time and high-quality pollen data. To the moment pollen monitoring has been done manually by highly specialized experts. Here we evaluate the electronic Pollen Information Network (ePIN) comprising 8 automatic BAA500 pollen monitors in Bavaria, Germany. Automatic BAA500 and manual Hirst-type pollen traps were run simultaneously at the same locations for one pollen season. Classifications by BAA500 were checked by experts in pollen identification, which is traditionally considered to be the "gold standard" for pollen monitoring. BAA500 had a multiclass accuracy of over 90%. Correct identification of any individual pollen taxa was always >85%, except for Populus (73%) and Alnus (64%). The BAA500 was more precise than the manual method, with less discrepancies between determinations by pairs of automatic pollen monitors than between pairs of humans. The BAA500 was online for 97% of the time. There was a significant correlation of 0.84 between airborne pollen concentrations from the BAA500 and Hirst-type pollen traps. Due to the lack of calibration samples it is unknown which instrument gives the true concentration. The automatic BAA500 network delivered pollen data rapidly (3 h delay with real-time), reliably and online. We consider the ability to retrospectively check the accuracy of the reported classification essential for any automatic system.

[Epidemiological studies with environmental relevance in Germany]. / Epidemiologische Studien mit Umweltbezug in Deutschland.

Our environment is a major factor in determining health and well-being throughout life, from conception into old age. This overview illustrates the most important epidemiological studies and health monitoring systems in Germany, which investigate environmental influences in various population subgroups and estimate related health effects. Environmental factors examined in each study are described. The mentioned studies in children and adults build the basis for predictions and preventive measures. The number of the assessed environmental factors, the depth of the examinations as well as the (phenotypical) characterization of the study participants differ. Still, the obtained data build a base for important future research. However, for this, a permanent and Germany-wide assessment of environmental factors is necessary.The proportion of the European population living in urban areas is projected to increase in the future. Therefore, environmental factors such as air pollution, air temperature, and noise, but also social inequality, are likely to have a negative effect on health and quality of life of the population. The challenge of the aging population as well as potential adaptation processes to the diverse environmental stimuli requires multidisciplinary approaches. From an environmental epidemiology view, the collected data from the described studies are of immense value because only with this data can associations between environment and health be investigated and public health-relevant preventive measures be identified.The NAKO health study will be the largest resource of health data and should therefore be included in future activities related to the investigation of environmental health effects in Germany.

Children's exposure to second-hand smoke before and after the smoking ban in Bavaria-a multiple cross-sectional study.

BACKGROUND: The federal state of Bavaria, Germany enforced a comprehensive smoking ban across all enclosed public areas in 2008 to protect non-smokers from second-hand smoke (SHS). Evidence against displacement of smoking to homes is abundant, however long-term assessments are few. We aim to report prevalence of children's SHS exposure before and after the ban, parental smoking behaviour and exposure risk factors. METHODS: Cross-sectional data of children aged 5-6 years old in Bavaria (n = 22 944) were collected in 2004/5 and 2005/6 (S1 and S2) before the ban and after in 2008/9 and 2012/13 (S4 and S6). Parents reported their child's home SHS exposure, in enclosed public areas and private cars. Adjusted multivariable logistic regression assessed changes across time and predicted risk factors. RESULTS: Children's home SHS exposure before the ban was 14.3% (S1), 14.1% (S2) and 12.8% (S4) directly after the ban to 7.2% (S6) (P<0.0001). The proportion of homes where at least one parent smoked significantly reduced from 12.78% (S1) to 4.94% (S6) (P<0.0001) and homes with voluntary smoke-free rules increased. Exposure in cafes, restaurants and private cars also decreased. No significant changes in the proportion of parents that ceased smoking due to the ban were found. Among others, low parental education, crowding and unemployment were risk factors for higher SHS exposure. CONCLUSION: Since the smoking ban, no long-term displacement of SHS to homes was observed. Social smoking norms appear to have shifted in favour of the ban. Social inequalities still exist and should be addressed to further minimise SHS exposure.

[Respiratory and allergic diseases of children : Temporal trends, urban-rural differences, and in association with environmental tobacco smoke exposure]. / Atemwegs- und Allergieerkrankungen bei Kindern : Zeitliche Trends, Stadt-Land-Unterschiede und Assoziationen mit einer Tabakrauchexposition.

BACKGROUND/OBJECTIVES: Ten years after the establishment of health monitoring units (GME) in Bavaria, temporal trends and urban-rural differences in parent-reported respiratory and allergic diseases as well as environmental tobacco smoke (ETS) exposure in preschoolers were analyzed in an explorative manner. Furthermore, associations between diseases and ETS exposure were studied. METHODS: Parent questionnaires were used as part of the school entrance examination in two cross sectional studies (S1:2004/2005, n 1 = 6350; S2:2012/2013, n 2 = 5052). Temporal trends and urban-rural-differences were tested by X2 tests. Associations between diseases and exposures were studied using multiple logistic regression analysis. RESULTS: The lifetime prevalence of atopic dermatitis declined from S1-S2 from 12.4 to 11.1 %, whereas those for hay fever, asthma, bronchitis and pseudocroup remained stable. In S1 and S2, bronchitis was less often reported in cities. The other diseases showed no urban-rural differences. The prevalence of children's ETS exposure at home declined from S1-S2 from 14.3 to 7.2 % and was generally higher in cities than in rural regions. There was no positive association between diseases and children's ETS exposure at home. In S2 an association was found between asthma and current parental smoking (OR = 1.60; 95 % CI = (1.10-2.32)). CONCLUSION: The GME provide important data for regional distribution of respiratory and allergic diseases and ETS exposure of preschoolers in Bavaria. The results of the study are important for further development of questionnaires, which will be used in future GME.

Building an automatic pollen monitoring network (ePIN): Selection of optimal sites by clustering pollen stations.

Airborne pollen is a recognized biological indicator and its monitoring has multiple uses such as providing a tool for allergy diagnosis and prevention. There is a knowledge gap related to the distribution of pollen traps needed to achieve representative biomonitoring in a region. The aim of this manuscript is to suggest a method for setting up a pollen network (monitoring method, monitoring conditions, number and location of samplers etc.). As a case study, we describe the distribution of pollen across Bavaria and the design of the Bavarian pollen monitoring network (ePIN), the first operational automatic pollen network worldwide. We established and ran a dense pollen monitoring network of 27 manual Hirst-type pollen traps across Bavaria, Germany, during 2015. Hierarchical cluster analysis of the data was then performed to select the locations for the sites of the final pollen monitoring network. According to our method, Bavaria can be clustered into three large pollen regions with eight zones. Within each zone, pollen diversity and distribution among different locations does not vary significantly. Based on the pollen zones, we opted to place one automatic monitoring station per zone resulting in the ePIN network, serving 13 million inhabitants. The described method defines stations representative for a homogeneous aeropalynologically region, which reduces redundancy within the network and subsequent costs (in the study case from 27 to 8 locations). Following this method, resources in pollen monitoring networks can be optimized and allergic citizens can then be informed in a timely and effective way, even in larger geographical areas.

Asthmatic/wheezing phenotypes in preschool children: Influential factors, health care and urban-rural differences.

BACKGROUND: Different wheezing and asthmatic phenotypes turned out to indicate differences in etiology, risk factors and health care. We examined influential factors and urban-rural differences for different phenotypes. METHODS: Parents of 4732 children filled out a questionnaire concerning children's health and environmental factors administered within the Health Monitoring Units (GME) in a cross-sectional study in Bavaria, Germany (2014/2015). To classify respiratory symptoms, five phenotype groups were built: episodic, unremitting and frequent wheeze, ISAAC (International Study of Asthma and Allergies in Children) - asthma and physician-diagnosed asthma (neither of the groups are mutually exclusive). For each phenotype, health care variables were presented and stratified for residence. Urban-rural differences were tested by Pearson's chi-squared tests. Multivariable logistic regression was performed to analyze associations between influential factors and belonging to a phenotype group, and to compare groups with regard to health care variables as outcome. RESULTS: Risk factors for wheezing phenotypes were male gender (OR = 2.02, 95%-CI = [1.65-2.48]), having older siblings (OR = 1.24, 95%-CI = [1.02-1.51]), and preterm delivery (OR = 1.61, 95%-CI = [1.13-2.29]) (ORs for unremitting wheeze). 57% of children with ISAAC asthma and 74% with physician-diagnosed asthma had performed allergy tests. Medication intake among all groups was more frequent in rural areas, and physician's asthma diagnoses were more frequent in urban areas. CONCLUSIONS: In accordance with previous research this study confirms that male gender, older siblings and preterm delivery are associated with several wheezing phenotypes. Overall, low numbers of allergy tests among children with physician's diagnoses highlight a discrepancy between common practice and current knowledge and guidelines. Residential differences in health care might encourage further research and interventions strategies.

Exploring the associations between parent-reported biological indoor environment and airway-related symptoms and allergic diseases in children.

OBJECTIVES: Asthma and allergic rhinitis are diseases which require special attention in childhood. Risk factors for these diseases are manifold and include environmental factors. Previous studies have shown associations between indoor mould and respiratory diseases in children. Besides indoor mould, organic waste storage, potted plants, pets and crowding could influence the microbial indoor environment at home and the respiratory health of children. Our aim was therefore to explore the associations of these factors with airway-related symptoms and respiratory diseases in preschoolers. METHODS: In this cross-sectional study we evaluated data based on parent-questionnaires regarding the health of their children from the 2014/2015 Health Monitoring Units (GME) in Bavaria. Bivariate and multivariate odds ratios (OR) with 95% confidence intervals (95%-CI) were calculated with logistic regression to explore associations between exposures (visible mould, organic waste storage, potted plants, pets and crowding) and outcome variables (doctor diagnosed allergic rhinitis with symptoms in the last 12 months, doctor diagnosed asthma with symptoms in the last 12 months, 12 month prevalence of symptoms such as dry cough at night without a cold, wheeze, wheeze attacks and allergic rhinitis symptoms). RESULTS: We analysed data from 4732 children (response rate 56.7%) with a mean age of 5.3 years. Visible mould was present in 4.7% of all households and associated with doctor diagnosed asthma with symptoms in the last 12 months [aOR 2.16 (95%-CI 1.01-4.63)], wheeze in the last 12 months [aOR 1.60 (95%-CI 1.0-2.50)] and allergic rhinitis symptoms in the last 12 months [aOR 1.75 (95%-CI 1.07-2.87)]. Crowding was associated with dry cough at night without a cold in the last 12 months [aOR 1.71 (95%-CI 1.42-2.05). The other indoor factors showed no association with respiratory health of the children. CONCLUSION: Our results, in line with previous studies, showed positive associations between visible mould at home and airway-related symptoms and allergic diseases in children irrespective of the effect of the other considered indoor exposures. Despite the low prevalence of mould exposure in our study population, our results suggest intervention should be taken for those who do have visible mould exposure at home.

The DONE framework: Creation, evaluation, and updating of an interdisciplinary, dynamic framework 2.0 of determinants of nutrition and eating.

The question of which factors drive human eating and nutrition is a key issue in many branches of science. We describe the creation, evaluation, and updating of an interdisciplinary, interactive, and evolving "framework 2.0" of Determinants Of Nutrition and Eating (DONE). The DONE framework was created by an interdisciplinary workgroup in a multiphase, multimethod process. Modifiability, relationship strength, and population-level effect of the determinants were rated to identify areas of priority for research and interventions. External experts positively evaluated the usefulness, comprehensiveness, and quality of the DONE framework. An approach to continue updating the framework with the help of experts was piloted. The DONE framework can be freely accessed (http://uni-konstanz.de/DONE) and used in a highly flexible manner: determinants can be sorted, filtered and visualized for both very specific research questions as well as more general queries. The dynamic nature of the framework allows it to evolve as experts can continually add new determinants and ratings. We anticipate this framework will be useful for research prioritization and intervention development.

No further increase in the parent reported prevalence of allergies in Bavarian preschool children: Results from three cross-sectional studies.

BACKGROUND: After three decades of an increase in the prevalence of asthma and allergies, new findings show a plateau in the prevalence of industrialized nations. The objective of this study was to determine whether there was a change in the parent reported prevalence of asthma and allergies among Bavarian preschool children since 2004. METHODS: A parent questionnaire was administered as part of the Bavarian school entrance examination in three cross-sectional studies from 2004/2005, 2006/2007 and 2012/2013. The questionnaire included items on allergy testing history, identified allergens, symptoms (e.g. wheezing, itchy eyes, rash), medically diagnosed asthma, hay fever and atopic dermatitis. Logistic regression was performed to observe time patterns and adjust for risk factors. RESULTS: Data were available for 6350 (2004/2005), 6483 (2006/2007) and 5052 (2012/2013) individuals. Symptoms and diseases were more frequent in boys, except for allergies which affect the skin. From 2004 to 2012 the parent reported prevalence of asthma (2.6% to 2.8%), hay fever (4.7% to 4.0%) and atopic dermatitis (12.4% to 11.1%) either remained quite stable or decreased not significantly. CONCLUSIONS: Results from these three cross-sectional surveys of parent reports suggest that the parent reported prevalences of asthma and allergies are quite stable with small fluctuations since 2004 for Bavarian preschool children. Future research is needed to determine if this trend will continue.