Boynton wrote:
A group of 20 French tourists tested positive for COVID-29 8 days after entering CR, 6 are hospitalized. All this happened 16 days ago and is just today being reported in the media. How's that for transparency.
I wonder how that might impact insurance rates.
https://qcostarica.com/20-french-touris ... pitalized/For you math whizzes out there, that is a 30% hospitalization rate.
A little additional detail, the testing was done on January 24 which is also the day France began requiring a negative Covid test to enter.
https://www.connexionfrance.com/French- ... e-and-boatSince I am a math wiz, I will weigh in on this one.
I wouldn't worry about insurance rates. There are two key words in this article, "group" and "French", which really implies "related group" of people.
To estimate the population proportion for hospitalization we would need a
random sample of 385 to 664 persons who tested positive, assuming a 5 percent margin of error and confidence interval between 95 and 99 percent respectively.
The problem is this group of related persons are
neither independent or random sample. They likely contain outliers or are part of a skewed demographic associated with package tours.
Also, it is more more relevant for insurers to
estimate the hospitalization proportion for the total population of insured. They would want to know
what proportion of premium buyers from the total population of premium buyers are going to result in a loss.
I think the big lesson here is the risk to groups and couples. When you travel in a "pod" you are not being socially distant with the other members of the pod. So, the members of the group have a higher risk. Any one member of the pod has the cumulative exposure of all the other members of the pod. In this case the cumulative exposure of 20 people, traveling around the country could be much higher than one dude in town for a weekend bender.
Mathematically the way to evaluate the risk for groups is through
Analysis of Variance or ANOVA. A test for means is much better because we can talk about financial magnitude, dollar amounts. Also ANOVA lets us compare the categories of insured to the entire population of insured.
For example, what is the
average dollar amount of loss generated by different categories of people within the population. It's likely that the private insurance companies will conduct these types of statistical analysis using ANOVA or similar methods. Expect insurance rates for groups and package tours to go up within the private market.
Tourism in general will be problematic in Costa Rica for while. I expect because "group" tourism and packages are important for the profitability of the industry. It's difficult to get individuals together and share the fixed costs of tours, transfers and hotels.
Our kind of tourism, guy coming down for a week of fun in San Jose or Jaco is may be less risky than 3 families of 4 getting together for meals, bus rides and visits to the cloud forest. Seems a bit ironic.
Cruzing and boozing is safer than good family fun. Immanuel Kant would give us less bad points. Maybe an episode of the Good Place?