Apparent infection rate
Apparent infection rate is an estimate of the rate of progress of a disease, based on proportional measures of the extent of infection at different times.
Firstly, a proportional measure of the extent of infection is chosen as the disease extent metric. For example, the metric might be the proportion of leaf area affected by mildew, or the proportion of plants in a population showing dieback lesions. Measures of disease extent are then taken over time, and a mathematical model is fit. The model is based upon two assumptions:
- the progress of the infection is constrained by the amount of tissue that remains to be infected; and
- if it were not so constrained, the extent of infection would exhibit exponential growth.
There is a single model parameter r, which is the apparent infection rate. It can be calculated analytically using the formula
![r = \frac{1}{t_2-t_1} \log_e \left [ \frac{x_2 (1-x_1)}{x_1 (1-x_2)} \right ]](../I/m/889cb69e4e6b6e31553dae739e120881.png)
where
- r is the apparent infection rate
- t1 is the time of the first measurement
- t2 is the time of the second measurement
- x1 is the proportion of infection measured at time t1
- x2 is the proportion of infection measured at time t2
See also
References
- Parry, David W. (1990). Plant pathology in agriculture. Cambridge University Press. pp. 66–67. ISBN 0-521-36890-1.
This article is issued from Wikipedia - version of the Friday, May 11, 2012. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.