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Odds (no synonyms), are expressed as an absolute number.
The odds of an event ("odds", always plural) occurring is the probability (e.g. risk) that this event will occur divided by the probability that the event will not occur. It can also be expressed as the probability that an event will occur divided by "1 minus the probability that the event will occur". 
POdds of event = ----------- 1 - P
This probability measure is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e. putting money on other horses) we can compute the odds of winning. For example among 3100 persons gambling on horses, 100 persons put money on horse "A" to win and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact in gambling the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.
Since in epidemiology we illustrate the population under investigation with a two-by-two table, we will use a table to describe how to calculate odds. In the two-by-two table the concept of exposure is also included. However, to calculate the odds of disease, it not needed to take into account that in our population some might have been exposed to a particular exposure and some not.
The table yields the following calculations:
Therefore to calculate the odds: divide the risk of getting the disease by the risk of not getting the disease. It is equal to the ratio of the number of people with the disease to the number of people without it in a particular population.
The odds is a measure rarely used in epidemiology. Most often the odds are used to express the odds ratio. A disease-odds ratio is the ratio of the odds of having the disease among the exposed and the odds of having the disease among the unexposed . In other words, the odds ratio is the ratio of the odds of disease observed in 2 subsets of a population.
In you take again the table as an example, the disease-odds ratio will be equal to:
Odds of developing the disease among the exposed: a / b
Odds of developing the disease among the unexposed: c / d
As you see by comparing example one, two and three, the risk and the odds approximate each other when the event is rare. When the event occurs frequently the odds overestimate the risk of disease.
For this reason, in many situations (when the disease is rare) the odds ratio can estimate the risk ratio.
Risk of disease = 50 / 100000 = 0.00050000
Odds of disease (50 / 100000) / 1 - (50/100000) = 0.00050025
When getting the disease is a rare event, the risk of disease approximates the odds of disease.
Risk of disease = 50 / 1000 = 0.05000
Odds of disease (50 / 1000) / 1 - (50/1000) = 0.05263
1. Porta, M. A dictonary of Epidemiology, Fifth edition. Oxford University press, 2008.
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Marion Muehlen posted on 2/24/2015 10:58:24 AM:
Thank you, Arnold, very helpful information.
chwilliams replied on 10/2/2015 8:42:54 AM: The outbreak team is a group of people with appropriate skills and responsibilities joined by the aim of investigating and controlling the outbreak. It is usually multidisciplinary , including ( non-exhaustive list) epidemiologists, microbiologists, public health authorities, clinicians and healthcare managers, environmental and food inspectors, veterinarians, communications specialists.
An OCT should act as as single body and behave as a effective team. There should be a lead to chair the meeting and ensure decisions are taken , documented and acted upon. The OCT has collective responsibility for the outbreak - if it goes wrong, responsibility is shared. The outputs, especially public health advice and external communications , should be consistent from each member and agency, although there may be disagreements during meetings.
Other models can be useful. In at least one country, a team similar to an OCT meets every week to manage incidents and outbreaks, making more routine the often hasty convening of s meeting of senior professionals.
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