Lauren Ancel Meyers

TL;DR: The methods of contact network epidemiology are applied to illustrate that for a single value of new cases of SARS resulting from a single initial case, most outbreaks should spark large-scale epidemics.

TL;DR: The homogeneous-mixing compartmental model is appropriate when host populations are nearly homogeneous, and can be modified effectively for a few classes of non-homogeneous networks, and in general, network models are more intuitive and accurate for predicting disease spread through heterogeneous host populations.

TL;DR: This work focuses on the first kind of robustness—genetic robustness)—and survey three growing avenues of research: measuring genetic robustness in nature and in the laboratory; understanding the evolution of genetic robusts; and exploring the implications of genetic resilientness for future evolution.

TL;DR: This work estimates the distribution of serial intervals for 468 confirmed cases of coronavirus disease reported in China as of February 8, 2020 and finds that 12.6% of case reports indicated presymptomatic transmission.

TL;DR: It is highlighted that the growing coronavirus disease 2019 (COVID-19) outbreak in the United States could gravely challenge the critical care capacity, thereby exacerbating case fatality rates, and policies that encourage self-isolation may delay the epidemic peak, giving a window of time that could facilitate emergency mobilization to expand hospital capacity.