A review of mathematical models applied to the West Africa Ebola epidemic suggests ways to improve the use of mathematical modeling in responding to public health emergencies.
A combination of surveillance data, paired sera and mathematical modelling reveals which factors may influence dengue transmission and control in island settings.
With mathematical modeling being an important source of insight for microbial communities, we may need to move beyond commonly-used pairwise models that do not capture microbial interactions.
Clonal tracing in vivo and quantitative modeling in silico reveal a unique mode of tissue growth and structural remodeling of the biliary system, providing an insight into the cellular basis for robust liver regeneration.
A mathematical modelling approach to understanding zebrafish stripe pattern formation exemplifies a biological rule-set sufficient to generate wild-type and a diverse range of mutant patterns.
Compared with the approach isolating COVID-19 patients for a fixed period, the approach using repeated PCR testing mitigates unnecessarily lengthy isolation of patients while minimizing the risk of further transmission.
An analysis of Australian case data demonstrates how the combined strategy of border measures, case targeted interventions, and social distancing effectively contained the first epidemic wave of COVID-19.
Spatial variations of transcription factor expression regulate the choice of progenitors to stay in their niche or to migrate into neural and mesodermal tissues.
