A5085226100- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Influenza Virus Research Studies
- Education, Healthcare and Sociology Research
- Education Methods and Technologies
- Sociology and Education Studies
- Data-Driven Disease Surveillance
- Earth Systems and Cosmic Evolution
- COVID-19 Digital Contact Tracing
- Misinformation and Its Impacts
- Complex Systems and Decision Making
- Sustainability and Climate Change Governance
Humboldt-Universität zu Berlin
2020-2024
Max Planck Institute for the Science of Human History
2024
Max Planck Institute of Geoanthropology
2024
Worldwide, developments towards highly industrialized, conventional agriculture systems have led to ecological deterioration, as well societal problems. On the side, many Planetary Boundary transgressions can - in substantial parts be attributed agricultural developments: Land System Change, Biosphere Integrity, Climate Freshwater and Biogeochemical Flows were all found majorly impacted by agriculture. Social issues like worker health unstable livelihoods add dire picture.Many approaches...
Dynamic global vegetation models have been established as a useful tool in environmental and agricultural sciences for many purposes, e.g. modeling crop growth, fire disturbances, or biosphere-climate interactions. Nevertheless, DGVMs are often very limited terms of interactions with the anthroposphere, particularly human-Earth such LPJmL successfully connected to integrated assessment Remind-MAgPIE IMAGE. Still, model coupling those approaches remains loose static over simulation period....
In this paper we extend the use of a relational approach to simulation modelling, widely used knowledge practice in sustainability science. Among modellers, there is awareness that model results can only be interpreted view assumptions inform construction and analysis, but less systematic questioning those assumptions. Moreover, current methodological discussions tend focus on integrating social ecological dynamics or diverse knowledges data within model. Yet choices regarding types...
Abstract Reaching population immunity against COVID‐19 is proving difficult even in countries with high vaccination levels. Thus, it critical to identify limits of control and effective measures future outbreaks. The effects nonpharmaceutical interventions (NPIs) strategies are analyzed a detailed community‐specific agent‐based model (ABM). authors demonstrate that the threshold for not unique number, but depends on strategy. Prioritizing highly interactive people diminishes risk an...
Abstract Interactions between humans cause transmission of SARS-CoV-2. We demonstrate that heterogeneity in human-human interactions give rise to non-linear infection networks gain complexity with time. Consequently, targeted vaccination strategies are challenged as such effects not accurately captured by epidemiological models assuming homogeneous mixing. With vaccines being prepared for global deployment determining optimality swiftly reaching population level immunity heterogeneous local...
Summary Infectious disease outbreaks challenge societies by creating dynamic stochastic infection networks between human individuals in geospatial and demographical contexts. Minimizing socioeconomic costs of SARS-CoV-2 future global pandemics requires data-driven context-specific integrative modeling detection-tracing, healthcare, non-pharmaceutical interventions for decision-processes reopening strategies. Traditional population-based epidemiological models cannot simulate temporal...
Abstract Reaching population immunity against COVID-19 is proving difficult even in countries with high vaccination levels. We demonstrate that this part due to heterogeneity and stochasticity resulting from community-specific human-human interaction infection networks. address challenge by simulation of adaptive strategies. Analyzing the predicted effect into an ongoing outbreak, we find combinations targeted non-pharmaceutical interventions (NPIs) are required reach immunity. Importantly,...
Abstract Reaching population immunity against COVID-19 is proving difficult even in countries with high vaccination levels. We demonstrate that this part due to heterogeneity and stochasticity resulting from community-specific human-human interaction infection networks. address challenge by simulation of adaptive strategies. Analyzing the predicted effect into an ongoing outbreak, we find combinations targeted non-pharmaceutical interventions (NPIs) are required reach immunity. Importantly,...