Mathematics of Public Health
Jummy David (Hrsg.), Jianhong Wu (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health. The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as:
- Resource allocation
- Impact of climate change on communicable diseases
- Interaction of human behaviour change, and disease spread
- Disease outbreak trajectories projection
- Public health interventions evaluation
- Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks
- Development of vaccines and decisions around vaccine allocation and optimization
Kundenbewertungen
SDG 3, vaccine development, Mathematics for Public Health Next Generation Network, Covid-19, SDG 3 good health and well-being, modeling infectious diseases, mathematical epidemiology, climate change, opioid epidemic, compartmental models, SDG goal 3, agent-based models