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Infectious disease modeling in a time of COVID-19 - PLOS ONE authors' perspectives


PLOS ONE,
PLOS Biology and
PLOS Computational Biology, on a variety of topics relevant to the modeling of infectious disease, such as disease spread, vaccination strategies and parameter estimation. As the world grappled with the effects of COVID-19 this year, the importance of accurate infectious disease modeling has become apparent. We therefore invited a few authors  featured in the Collection to give their perspectives on their research during this global pandemic. We caught up with Verrah Otiende (independent researcher, Pan African University Institute of Basic Sciences Technology and Innovation), Lauren White (USAID), Jess Liebig (CSIRO) and Johnny Whitman (The Ohio State University) to hear their reflections on this collection and the time that has passed. ....

Verrah Otiende , Lauren White , Jess Liebig , Johnny Whitman , Department Of Ecology , National Socio , University Of Maryland , Environmental Synthesis Center , Ohio State University , Technology Policy , University Of Minnesota , Technology Policy Fellowship , Infectious Disease , Pan African University Institute , Basic Sciences Technology , Bayesian Hierarchical Modeling , One Health , Applying Bayesian , Bayesian Hierarchical Models , Big Data , Named Entity Recognition , Natural Language Processing , Technology Policy Fellow , National Socio Environmental Synthesis Center , லாரன் வெள்ளை , ஜானி விட்மேன் ,