The complexities of modern biomedicine are rapidly increasing. Thus, modeling and
simulation have become increasingly important as a strategy to understand and predict the …

Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …

Disturbances, both natural and anthropogenic, affect the configuration, composition, and
function of forested ecosystems. Complex system behaviors emerge from the interactions …

The main purpose of mathematical model building while employing statistical data analysis
is to obtain high accuracy of approximation within the range of observed data and sufficient …

Exponential increase in population, rapid urbanization and industrialization have increased
the demand of water globally. Groundwater is an important resource in hilly and …

Making predictions from ecological models—and comparing them to data—offers a coherent
approach to evaluate model quality, regardless of model complexity or modelling paradigm …

The rate of human‐induced environmental change continues to accelerate, stimulating the
need for rapid and science‐based decision making. The recent availability of …

During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and
response was a priority for scientists and decision makers alike. In the United States, COVID …

Probabilistic forecasts play an indispensable role in answering questions about the spread
of newly emerged pathogens. However, uncertainties about the epidemiology of emerging …

Modelling is widely used in ecology and its utility continues to increase as scientists,
managers and policy‐makers face pressure to effectively manage ecosystems and meet …