PandemiX Center mission og programmer
Tv?rfagligt center
PandemiX - a Center to study pandemic diseases
The goal of PandemiX is to build a comprehensive understanding of the forces that shape pandemic trajectories from origin to endgame, as we describe and quantify the signature features of pandemics present and past.
真人线上娱乐 bring together in one Center a diverse team of experts with four core competencies: mathematical modeling of infectious diseases, historical epidemiology, clinical research, and bioinformatics. With a common quantitative focus, Center researchers bring their various skill sets to bear on a set of central questions that frame pandemics as a cyclical process, from its origin through its endgame.
Our work relies on tools and approaches from four distinct core competencies. 真人线上娱乐 will develop new mechanistic transmission models to predict a pandemic’s spread and evolutionary trajectory. But mechanistic models alone are blind; biological data on the pathogen, health outcomes and surveillance data from the human population and the historical and societal context are also necessary. Thus, we will also use Bioinformatics to reveal the genetic traits that characterize an evolving pathogen, providing crucial insight into the evolutionary path of emerging pathogens throughout a pandemic. Clinical research using patient-level data will shed light on pandemic population impact, the effects of vaccination, changes in population immunity, and long-term sequelae. Historical epidemiology combines analysis of archival health data with historical study of the societal and demographic context to elucidate past pandemic signatures. Bringing these competencies together in an interdisciplinary environment is the core of our strategy.
Programmes
真人线上娱乐 have organized our research plan into six intertwined research programs. Together, these programs will address all aspects of the entire pandemic cycle. All six programs require two or more of our listed core competencies. The program teams will collaborate extensively.
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The drivers of zoonotic events
While SARS-CoV-2 is the latest virus to cause a pandemic, an enormous number of other viruses lurk at animal-human interface, well-positioned make the leap. 真人线上娱乐 aim to understand why zoonotic events occur, including the roles of viral replication and evolution in the host organism, immune-response and evasion, human-animal interaction dynamics, receptor binding and internalization in human cells, and potential for pathogen spread. What molecular signatures are necessary? What determines how likely an animal virus is to jump and evolve in a new host? Can we minimize the risk?
Specific aim
- To apply bioinformatical analysis and modelling to understand zoonotic events at the molecular, organismal, and population scales
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Melding transmission patterns, pathogen evolution and public health countermeasures
真人线上娱乐 will aim to understand how pathogen-specific signatures such as transmission and immunity patterns affect the course of an outbreak and whether certain features are under selection pressure. How might that affect the evolutionary course of an emerging pathogen and the likelihood that more dangerous variants will emerge? Could it be that superspreading is an evolvable property that can be affected by public health countermeasures?
Specific aims
- To develop novel mathematical models of pathogen spread and evolution based on phylogenetics, transmission and social network data
- To investigate the interplay between transmission and immunity patterns, epidemic spread, mitigation strategies and pathogen evolution