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AIP Publishing: Coronavirus

This Collection includes papers published in several AIP Publishing journals and AIP Conference Proceedings on topics including: computational methods spanning complex networks, evolutionary methodologies, random walk dynamics, mechanistic models, and more. These articles examine aspects of infectious diseases, epidemics, computational epidemiology, and pandemics.

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The latest novel coronavirus, SARS-CoV-2 and its resultant disease COVID-19, has reached pandemic status. Researchers in all fields, from medicine, chemistry, structural biology, and even physics, are hard at work to contain the outbreak. To aid researchers working on this important global issue, AIP Publishing has identified this collection of relevant research articles and made them free for the global research community to read.

These articles examine several aspects of infectious diseases, epidemics, computational epidemiology, and pandemics. The collection includes papers published in several AIP Publishing journals and AIP Conference Proceedings on topics including: computational methods spanning complex networks, evolutionary methodologies, random walk dynamics, mechanistic models, and more. The results report many interesting facets of disease spreading and control, including the effect of human behaviors, geographical network structures, and responsive immunization vaccine success.

To support global research during the COVID-19 pandemic, AIP Publishing has made this collection of articles on infectious diseases, epidemics, computational epidemiology, and pandemics free to read.

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