The phrase "diseased population" is correct and usable in written English.
It is often used in a scientific context to describe a group of people that comprise a population that is diseased. For example, "The researchers studied the effects of the pandemic among the diseased population."
Ascites is a clear example in which selection in disease-free and diseased population would result in different genetic responses in host performance and ascites resistance/tolerance.
For the management of marine shellfish resources, marine diseases pose additional challenges in early intervention after the appearance of disease, management of the diseased population to limit a decline in host abundance, and application of measures to restrain that decline once it occurs.
Mathematical models provide one approach for quantifying these effects and addressing the competing goals of managing the diseased population versus managing the disease.
An advantage of population-based prospective cohort studies is that they are not specifically targeted to a diseased population and they follow individuals before disease onset, allowing for studies that can identify biomarkers and disease-modifying effects.
The Jensen divergence introduced in Burbea and Rao [2] has its applications in bioinformatics [10, 11], where it is usually utilised to compare two samples of healthy population (control) and diseased population (case) in detecting gene expression for a certain disease.
Research is necessary to define an internationally accepted diagnosis of chronic mercury intoxication, to fully understand the progress of the disease (remission, duration, mortality), to determine its severity in comparison to other diseases (DW), and to verify the number of the exposed and diseased population.
Variations in the presenting and associated disease mix among diseased populations could be a major cause of the observed between-region heterogeneity in mortality, but other factors may also play a role.
Overall, improving technology to identify causative agents more accurately, creating standard epidemiological data for diseased populations, and enhancing the knowledge of disease dynamics can improve the understanding of risks caused by interactions among various populations (Harvell et al. [1999]; Daszak et al. [2000]; Harvell et al. [2002]).
Furthermore, well-being interventions in diseased populations not explicitly grounded in positive psychology theory ('coping with disease courses') were excluded.
The default-mode network (DMN) comprising of such consistent cortical regions has become a topic of increasing interest in both healthy and diseased populations.
Extensive human data from both healthy and diseased populations have led to the proposal of the cortical body matrix theory11, the predictions of which are yielding new developments in our understanding and treatment of some pathological pain conditions12.
