1 incidence 2.rate 3.ratio 4.prevalence
i guess viruses are not affected by any disease..
a) Definition:A density-dependent factor is one where the effect of the factor on the size of the population depends upon the original density or size of the population. A disease is a good example of a density-dependent factor. If a population is dense and the individuals live close together, then each individual will have a higher probability of catching the disease than if the individuals had been living farther apart. Not only will a greater number of individuals be affected, but, more importantly, a greater proportion of the population will be affected if they are living close together. For example, bird populations are often regulated more by this type of regulation.b) Characteristic of the factor:In general, density-dependent factors are biological factors, such as diseases, parasites, competition, and predation.
a carrier
Yes. The disease is given the name Kawasaki but there are subcategories which are used to describe which organs and organ systems are affected. It is an autoimmune disease.
worms.
If I understand your question, yes, the proportion of people in a population ill with a certain disease at a given time is the same as the probablility that a randomly selected person in that population will have the disease at that time.
In recent discoveries, 18 specific chromosomes are affected because of Parkinson's Disease. These chromosomes are numbered in chronological order.
disease
By gas
By gas
Economic productivity would decline.
The prevalence of a disease in a population is typically expressed as a percentage or a ratio of the number of individuals with the disease to the total population at risk. It provides a snapshot of how widespread the disease is within a specified population at a specific point in time. Surveillance data, health studies, and surveys are often used to estimate disease prevalence.
A density-dependent factor is one where the effect of the factor on the size of the population depends upon the original density or size of the population. A disease is a good example of a density-dependent factor. If a population is dense and the individuals live close together, then each individual will have a higher probability of catching the disease than if the individuals had been living farther apart. Not only will a greater number of individuals be affected, but, more importantly, a greater proportion of the population will be affected if they are living close together. For example, bird populations are often regulated more by this type of regulation.
Economic productivity would decline.
By gas
i guess viruses are not affected by any disease..
An epidemic describes a sudden and widespread outbreak of a disease within a population group or area.