A5103027147- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Advanced Causal Inference Techniques
- Spatial and Panel Data Analysis
- Environmental Impact and Sustainability
- Income, Poverty, and Inequality
- Data Analysis with R
- COVID-19 epidemiological studies
- Statistical Methods and Bayesian Inference
- demographic modeling and climate adaptation
- Health, Environment, Cognitive Aging
- Scientific Computing and Data Management
- Rural development and sustainability
- Economics of Agriculture and Food Markets
- Statistical Methods and Inference
- Auditing, Earnings Management, Governance
- Monetary Policy and Economic Impact
- Optimization and Search Problems
- Long-Term Effects of COVID-19
- Impact of Light on Environment and Health
- Immune responses and vaccinations
- Big Data and Business Intelligence
- Vehicle Routing Optimization Methods
- COVID-19 Digital Contact Tracing
Bielefeld University
2016-2024
Robert Koch Institute
2023-2024
Helmholtz Zentrum München
2021-2023
Ludwig-Maximilians-Universität München
2021
Universität der Bundeswehr München
2021
Roche Pharma AG (Germany)
2021
German Center for Infection Research
2021
Institut für Mikrobiologie der Bundeswehr
2021
University of Göttingen
2018-2021
Universitätsmedizin Göttingen
2016
Quantitative serological assays detecting response to SARS-CoV-2 are needed quantify immunity. This study analyzed the performance and correlation of two quantitative anti-S1 in oligo-/asymptomatic individuals from a population-based cohort.In total, 362 plasma samples (108 with reverse transcription-polymerase chain reaction [RT-PCR]-positive pharyngeal swabs, 111 negative controls, 143 positive serology without confirmation by RT-PCR) were tested (Euroimmun Anti-SARS-CoV-2 QuantiVac...
Given the large number of mild or asymptomatic SARS-CoV-2 cases, only population-based studies can provide reliable estimates magnitude pandemic. We therefore aimed to assess sero-prevalence in Munich general population after first wave For this purpose, we drew a representative sample 2994 private households and invited household members 14 years older complete questionnaires blood samples. seropositivity was defined as Roche N pan-Ig ≥ 0.4218. adjusted prevalence for sampling design,...
Brodeur, Cook, and Heyes (2020) study hypothesis tests from economic articles find evidence for p-hacking publication bias, in particular instrumental variable difference-in-difference studies. When adjusting rounding errors (introducing a novel method), statistical randomization caliper at the 5 percent significance threshold vanishes difference-in-differnce studies but remains Results 1 10 thresholds remain largely similar. In addition, derive latent distributions of z-statistics absent...
A number of seroassays are available for SARS-CoV-2 testing; yet, head-to-head evaluations different testing principles limited, especially using raw values rather than categorical data. In addition, identifying correlates protection is utmost importance, and comparisons systems with functional assays, such as direct viral neutralisation, needed.We analysed 6658 samples consisting true-positives ( n =193), true-negatives =1091), specimens unknown status =5374). For primary testing, we used...
Abstract Background In the 2nd year of COVID-19 pandemic, knowledge about dynamics infection in general population is still limited. Such information essential for health planners, as many those infected show no or only mild symptoms and thus, escape surveillance system. We therefore aimed to describe course pandemic Munich living private households from April 2020 January 2021. Methods The KoCo19 baseline study took place June including 5313 participants (age 14 years above). From November...
Information-based interventions are still the most commonly used intervention approach to motivate people engage in pro-environmental behaviors. However, recently, researchers assume that effectiveness of such information depends on extent which recipients endorse biospheric values (the so-called ‘values-as-moderator’ hypothesis). If this hypothesis is correct, it would have important implications for use appeals: they could not entire population, but only those population groups with high...
Risk factors for disease progression and severity of SARS-CoV-2 infections require an understanding acute long-term virological immunological dynamics. Fifty-one RT-PCR positive COVID-19 outpatients were recruited between May December 2020 in Munich, Germany, followed up at multiple defined timepoints to one year. viral culture performed seroresponses measured. Participants classified applying the WHO clinical scale. Short symptom test time (median 5.0 days; p = 0.0016) high loads (VL;...
Abstract This article considers the network design problem that searches for a minimum‐cost way of installing capacities on edges to simultaneously route flow from given access point subset nodes representing customers with positive demands. We first consider compact and exponential‐sized Mixed Integer Programming (MIP) formulations provide their theoretical computational comparison. also stronger disaggregated formulation. To solve in practice, we project out variables generate Benders cuts...
This paper introduces distributional regression also known as generalized additive models for location, scale and shape (GAMLSS) a modeling framework analyzing treatment effects beyond the mean. In contrast to mean models, GAMLSS relate each parameter covariates. Therefore, they can be used model effect not only on but whole conditional distribution. Since encompass wide range of different distributions, provide flexible non-normal outcomes in which additionally nonlinear spatial easily...
Abstract Background In the 2 nd year of Covid-19 pandemic, knowledge about dynamics infection in general population is still limited. Such information essential for health planners, as many those infected show no or only mild symptoms and thus, escape surveillance system. We therefore aimed to describe course pandemic Munich living private households from April 2020 January 2021. Methods The KoCo19 baseline study took place June including 5313 participants (age 14 years above). From November...
Population-based serological studies allow to estimate prevalence of SARS-CoV-2 infections despite a substantial number mild or asymptomatic disease courses. This became even more relevant for decision making after vaccination started. The KoCo19 cohort tracks the pandemic progress in Munich general population over two years, setting it apart Europe.Recruitment occurred during initial wave, including 5313 participants above 13 years from private households Munich. Four follow-ups were held...
Abstract Background Serosurveys are essential to understand SARS-CoV-2 exposure and enable population-level surveillance, but currently available tests need further in-depth evaluation. We aimed identify testing-strategies by comparing seven seroassays in a population-based cohort. Methods analysed 6,658 samples consisting of true-positives (n=193), true-negatives (n=1,091), specimens unknown status (n=5,374). For primary testing, we used Euroimmun-Anti-SARS-CoV-2-ELISA-IgA/IgG...
Abstract We investigate the prevalence and sources of reporting errors in 30,993 hypothesis tests from 370 articles three top economics journals. define as inconsistencies between reported significance levels by means eye‐catchers calculated ‐values based on statistical values, such coefficients standard errors. While 35.8% contain at least one error, only 1.3% investigated are afflicted For strong for which either eye‐catcher or ‐value signals but respective other does not, error rate is...
Small area estimation is an important tool to produce estimates of poverty for regions with low or zero sample sizes. Estimates are typically obtained by combining a consumption survey reporting on and census providing the spatial disaggregation. This paper discusses updating method that produces up‐to‐date small when only dated more recent available predictors subject drift over time, situation commonly encountered in practice. Instead using variables explain survey, approach uses...
In Deutschland startete 2022 das Projekt AMELAG, bei dem Infektionserreger innerhalb eines bundesweiten Abwassermonitorings überwacht werden. Es erforderte viel methodische Arbeit und Engagement zahlreicher Fachleute. Welcher Stand wurde bislang erreicht?
Spuren von verschiedenen Krankheitserregern gelangen u.a. über Stuhl oder Urin ins Abwasser, wo sie nachgewiesen und quantifiziert werden können. Dadurch ist eine Überwachung dieser Erreger unabhängig Teststrategien Testverhalten in der Bevölkerung möglich.
Introduction Accurate and consistent data play a critical role in enabling health officials to make informed decisions regarding emerging trends SARS-CoV-2 infections. Alongside traditional indicators such as the 7-day-incidence rate, wastewater-based epidemiology can provide valuable insights into concentration changes. However, wastewater compositions systems are rather complex. Multiple effects precipitation events or industrial discharges might affect quantification of concentrations....
Estimating nonlinear effects of continuous covariates by penalized splines is well established for regressions with cross-sectional data as panel random effects. Penalized are particularly advantageous since they enable both the estimation unknown covariate and inferential statements about these The latter based, example, on simultaneous confidence bands that provide a uncertainty assessment whole estimated functions. In this paper, we consider fixed models instead specifications develop...
Brodeur et al. (2020) study hypothesis tests from economic articles and find evidence for p-hacking publication bias, in particular IV DID studies. We adjust rounding errors reported estimates standard using different approaches. Statistical randomization caliper at the 5% significance threshold robustly vanishes studies but remains In addition, BCH derive latent distribution of z-statistics absent bias two show that neither approach is applicable due to reasons unrelated rounding.
This paper introduces distributional regression, also known as generalized additive models for location, scale and shape (GAMLSS), a modeling framework analyzing treatment effects beyond the mean. By relating each parameter of response distribution to explanatory variables, GAMLSS model effect on whole conditional distribution. Additionally, any nonnormal outcome nonlinear variables can be incorporated. We elaborate combination with program evaluation methods in economics provide practical...