Parvovirus B19V (B19V) infection during pregnancy can be complicated by potentially life-threatening fetal hydrops, which managed intrauterine transfusion (IUT). This study investigates the long-term temporal patterns in epidemiology of and evaluates impact on combining data infections from Dutch Sentinel Surveillance system period 1990 to 2023, blood banking hospital hydrops. Using wavelet analysis, we identified annual epidemic cycles Netherlands 1990-2019 superimposed multiannual...

Significance The intuitive and popular idea of a balance nature has been criticized, because species interactions may generate nonequilibrium dynamics, such as oscillations chaos. However, field evidence chaos in ecosystems is rare. We report on coastal community that displayed striking fluctuations the abundances barnacles, mussels, algae for more than 20 y. Data analysis reveals these reflect cyclic succession alternating between stabilizing chaotic dynamics during replacement. These...

The species composition of plankton, insect and annual plant communities may vary markedly from year to year. Such interannual variability is usually thought be driven by year-to-year variation in weather conditions. Here we examine an alternative explanation. We studied the effects regular seasonal forcing on a multi-species predator-prey model consisting phytoplankton zooplankton species. predicts that can easily arise without external Seasonal increased probability chaos our communities,...

Population fluctuations are often driven by an interplay between intrinsic population processes and extrinsic environmental forcing. To investigate this interplay, we analyzed in coastal phytoplankton concentration relation to the tidal cycle. Time series of chlorophyll fluorescence, suspended particulate matter (SPM), salinity temperature were obtained from automated measuring platform southern North Sea, covering 9 years data at a resolution 12 30 minutes. Wavelet analysis showed that...

Phytoplankton concentrations display strong temporal variability at different time scales. Recent advances in automated moorings enable detailed investigation of this variability. In study, we analyzed phytoplankton fluctuations four mooring stations the North Sea, which measured abundance (chlorophyll) and several environmental variables a resolution 12–30 min for two to nine years. The differed tidal range, water depth freshwater influence. This allowed comparison predictability drivers...

Coupling of several predator-prey oscillations can generate intriguing patterns synchronization and chaos. Theory predicts that prey species will fluctuate in phase if cycles are coupled through generalist predators, whereas they anti-phase competition between species. Here, we investigate a long-term experiment with marine plankton community. Wavelet analysis the fluctuations reveals two largely anti-phase. The angles point at strong phytoplankton species, but relatively little overlap...

The interplay between intrinsic population dynamics and environmental variation is still poorly understood. It known, however, that even mild noise may induce large fluctuations in abundances. This due to a resonance effect occurs communities on the edge of stability. Here, we use simple predator-prey model explore sensitivity plankton stochastic fluctuations. Our results show magnitude depends timescale relative characteristic Predator-prey with an tendency oscillate at period T are...

The daunting complexity of ecosystems has led ecologists to use mathematical modelling gain understanding ecological relationships, processes and dynamics. In pursuit tractability, these models simplified descriptions key patterns, relationships observed in nature. contrast, data are often complex, scale-dependent, space-time correlated, governed by nonlinear relations between organisms their environment. This disparity ecosystem created a large gap ecology model data-driven approaches....

Whole genome sequencing (WGS) is increasingly used for characterizing foodborne pathogens and it has become a standard typing technique surveillance research purposes. WGS data can help assessing microbial risks defining risk mitigating strategies pathogens, including Salmonella enterica.To test the hypothesis that (combinations of) different genes predict probability of infection [P(inf)] given exposure to certain pathogen strain, we determined P(inf) based on invasion potential 87 S....

Fecal microbiota transplantation (FMT) is an experimental treatment for ulcerative colitis (UC). We aimed to study microbial families associated with FMT success. analyzed stools from 24 UC patients treated 4 FMTs weekly after randomization pretreatment during 3 weeks budesonide (n = 12) or placebo 12). Stool samples were collected 9 times pre-, during, and post-FMT. Clinical endoscopic response was assessed 14 initiation of the using full Mayo score. Early withdrawal due worsening symptoms...

Unraveling the network of interactions in ecological communities is a daunting task. Common methods to infer interspecific from cross-sectional data are based on co-occurrence measures. For instance, human microbiome often inferred correlations between abundances bacterial phylogenetic groups across subjects. We tested whether such correlation-based indeed reliable for inferring interaction networks. this purpose, we simulated by means generalized Lotka-Volterra model, with variation model...

Community acquired pneumonia is a major global public health problem. In the Netherlands there are 40,000-50,000 hospital admissions for per year. large majority of these etiologic agent not determined and real-time surveillance system lacking. Localised temporal increases in therefore only detected retrospectively agents remain unknown. Here, we perform spatio-temporal analyses admission data Netherlands. To this end, scanned spatial clusters on yearly seasonal basis, applied wavelet...

The multi-factorial involvement of gut microbiota with Crohn's disease (CD) necessitates robust analysis to uncover possible associations particular microbes. CD has been linked specific bacteria, but reported vary widely across studies. This inconsistency may result from heterogeneous individual patients, resulting in no apparent or only weak relationships the means bacterial abundances. We investigated relationship between relative abundances and activity a longitudinal cohort patients (n...

Transmission of infectious diseases between immobile hosts (e.g., plants, farms) is strongly dependent on the spatial distribution and distance-dependent probability transmission. As interplay these factors poorly understood, we use process transmission modelling to investigate how epidemic size shaped by host clustering range We find that for a given degree individual-level infectivity, an occurs after introduction generally higher if predominantly local. However, local also impedes...

Human psittacosis is a highly under diagnosed zoonotic disease, commonly linked to psittacine birds. Psittacosis in birds, also known as avian chlamydiosis, endemic poultry, but the risk for people living close poultry farms unknown. Therefore, our study aimed explore temporal and spatial patterns of human infections identify possible associations with farming Netherlands.We analysed data on 700 cases notified between 01-01-2000 01-09-2015. First, we studied behaviour notifications by...

Human microbiome research is helped by the characterization of microbial networks, as these may reveal key microbes that can be targeted for beneficial health effects. Prevailing methods network are based on measures association, often applied to limited sampling points in time. Here, we demonstrate potential wavelet clustering, a technique clusters time series similarities their spectral characteristics. We illustrate this with synthetic and apply clustering densely sampled human gut...

Infectious diseases often involve multiple pathogen species or strains of the same pathogen. As such, knowledge how different pathogens interact is key to understand and predict outcome interventions targeting only a subset involved in disease. Population-level data may be useful infer strain interactions, but most previously used inference methods consider uniform interactions between all focus on marginal pairwise interactions. these are prone bias induced by indirect through other...

Quantitative microbiological risk assessment (QMRA) methodology aims to estimate and describe the transmission of pathogenic microorganisms from animals food humans. In literature, availability whole genome sequencing (WGS) data is rapidly increasing, incorporating this into QMRA has potential enhance reliability estimates. This study provides insight which are key pathogen properties for WGS estimation, through examination example assessments important foodborne pathogens: Listeria...

Summary Title Spatial analysis of methicillin-resistant Staphylococcus aureus carriage (MRSA) screening yield at hospital admission in a livestock-dense region Purpose In the Netherlands, patients with risk factor for carriage, such as foreign stay and contact livestock (pigs, veal calves and/or broilers) are actively screened upon admission. This study aimed to give insight geographical clustering patterns MRSA among these region. Methods A retrospective was performed using medical records...

Question. Interdisciplinary research is becoming an increasingly important aspect of climate and weather impact research. In this work, we present a case study to include high-resolution climatology in models for the spread airborne infectious disease. Approach. To achieve this, expand collaboration between two institutions, National Institute Public Health Environment (RIVM) Royal Netherlands Meteorological (KNMI). research, bring developments together. The RIVM focusing on...

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