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The probability of infection was described by a Poisson distribution and the infected cell population was segregated by the time of infection and the number of infecting viruses in order to examine the contributions of individual cells.
The probability of infection was the probability that a susceptible individual would become infected in each generation.
Indirect effects reduced probability of infection in the elderly.
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Probability of infection was similar for females and the combined group of males and juveniles.
Test results correlated with the probability of infection (p < 0.001) (Fig. 1).
Deterministic models that describe the expected progress of the infection cannot be employed to predict the probability of infection establishment at the primary stage.
Studies should be designed determining the probability of infection related to the presence or levels of NoV genomic copies.
Here only the top 3 scoring nodes for BVA and betweenness are given the reduced probability of infection 0.01.
For the Gustilo [13] classification, type III fractures (74.2 %) had a greater probability of infection than other types.
Charles Haas, professor at Drexel University, published a paper in PLOS Current Outbreaks that can help us delineate the probability of infection, based on the six Ebola epidemics.
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