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These issues prompted us that epidemic features of infectious disease may affect outbreak detection performance.
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The way in which parasitization and predation rates change as a function of moth population density may affect the cessation of outbreak at a given location.
As there are no other studies on how microevolutionary change may affect the probability for outbreaks in pest species we turn to the other end of the same basic ecological principles, i.e. probability for extinctions.
Most foodborne diseases are sporadic and often not reported, but sometimes foodborne outbreaks may affect a large number of individuals and compromise economic sectors and sanitary resources.
Outbreaks may affect all age groups and generally occur in crowded communities such as restaurants, tourist resorts, hospitals, schools and nursing homes.
These results have important public health implications since late identification of these signs may affect timely response to outbreaks and foster transmission among animals and later in humans.
Therefore, subsequent cohorts are more likely to return to a strategy of vaccinating at higher coverage levels, in order to prevent an outbreak that may affect them disproportionately.
This may affect the disease duration or peak of outbreaks.
Third, as only using two-year test datasets, we inserted a limited number of simulated outbreaks, which, to some extent, may affect the stability of the evaluation.
These outbreaks usually last 4-6 months and may affect up to 5% of the population.
The degree of preparedness may affect the ability to respond quickly and to control an outbreak.
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CEO of Professional Science Editing for Scientists @ prosciediting.com