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We modelled the spread of North American wind-dispersed trees in current and future (c. 2060) conditions, accounting for variation in 10 key dispersal, demographic and environmental factors affecting population spread.
We modelled the spread of pandemic influenza in this community and the effect on daily and final attack rates of four social distancing measures: school closure, increased case isolation, workplace non-attendance and community contact reduction.
We modelled the spread dynamics within a simulation model using virus characteristics estimated from data obtained at an early phase of the Mexico epidemic [ 29], and we simulated the key features of the actual school closure and antiviral-based strategies used in the initial stages of the outbreak in Australia.
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Section compression as modelled here could broaden the spread by about ±6° leaving a maximum working stroke of ∼10 nm.
Using epidemiological units is a way to define these groups, based on a similar level of probability of exposure based on the modelled potential spread of a viral particle via coastal currents, that can help inform management decisions.
The spread of disease is modelled according to two distinct theoretical components which together comprise the total observed cases of a disease at any time: an outbreak component, and an endemic component.
The spread of HPAI through real-time movements was modelled, with the addition of spread via company personnel and local transmission.
Accordingly, the spread of infection, adapted from [ 24– 26], is modelled as frequency-dependent transmission without recovery, with contacts occurring more frequently between individuals who are similar in age than between individuals with a large age gap [ 23].
Because trade links are sporadic, movements are not well modelled as persistent contacts [ 4], and the temporal pattern of movements has important implications for the spread of infectious diseases.
Furthermore, the spread of the observed soil solution concentrations was much larger than the spread in modelled concentrations (Fig. 4), especially for the pH and the NH4 concentration.
Sampling states to reflect typical conditions of any of these groups risks distorting the spread of selected states away from those relevant to other groups, increasing the scope for bias in modelled scores.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com