2: R and All That - Basic Concepts of the Epidemiology of Infectious Diseases Flashcards
incubation period
time between the moment someone is infected and the moment they exhibit symptoms
generation time
time between the moment someone is infected and the moment they infect someone else
always greater than 0 since you cannot infect someone else before you are infected
invisible process and hard to accurately measure
serial interval
time between the moment a person A, who had infected a person B, exhibits symptoms and the moment B exhibits symptoms
time that elapsed between the moment you have symptoms and the moment they have symptoms when you are the one who infected them
can be smaller than 0 since you can be infectious before you exhibit symptoms
basic reproduction number (R0)
average number of people that someone who is infected would go on to infect in a population where everyone is susceptible (purely hypothetical situation)
estimated from the growth rate of the epidemic
not an intrinsic property of the virus because it doesn’t just depend on the virus’ biological properties but other factors like populations, cultures, behaviour, population densities, etc.
effective reproduction number (Rt)
average number of people a person who is infected at time t will go on to infect
different from R0 because it refers to the actual situation at a given time and not a hypothetical situation where everyone is susceptible
when > 1, epidemic is growing
when < 1, epidemic is receding so if it stays like that for long enough, the epidemic is less of a concern
dispersion factor
parameter k that measures how concentrated on a few people transmission events are
measures how equal or unequal secondary infectious are
the lower k is, the more a small number of people are responsible for a greater share of secondary infections
epidemic growth rate (r)
(number of infections at time t + 1 / number of infections at time t) - 1
- expressed in percentage terms
don’t observe infections but only diagnosed cases however when under reasonable assumptions (short periods of time) it doesn’t change or matter for the rate of growth
- about the share of the cases you detect staying constant
so as long as the rate at which you detect cases doesn’t change, you get the growth rate which is pretty close to the growth rate of the actual number of infections
relationship between rate of growth (r) and effective reproduction number (R)
use r to infer R
- need to use some equation to relate the reproduction number to growth rate, and to know what equation to use, need to know what the distribution of the generation time looks like
typically the case that r is inversely related to the average generation time
- the shorter the generation time, the larger the growth rate keeping R equal
- the higher R is , the larger the growth rate keeping the general time equal
R and not r that determines the size of a wave
- r still important since it overwhelms hospitals faster
epidemic doubling time
how much time it would take for the cumulative number of infections to double if the epidemic grew at a constant rate
ln(r)/2