What if Santa Claus has the flu? Will he infect the rest of the planet?
It's not yet clear what healthcare system Santa Claus uses, but it is known that the famous character will have to deal with different epidemiological risks as he interacts with the rest of the population.
“If he really exists and if he really has the flu, then there’s a chance that Santa Claus could leave the virus in the various houses he visits,” explains Marília Antunes, professor in the Department of Mathematical Sciences and coordinator of the Centre for Statistics and Applications (CEAUL). “On the other hand, there’s also a question that arises: if he’s not infected and goes to a place where someone is sick, Santa Claus himself then runs the risk of becoming infected,” adds the researcher.
Clinics, hospitals, and medical offices tend to focus on individualized clinical records, but in Statistics, the study tends to focus more on the collective. "It's difficult to make estimates for just one person because they depend heavily on individual behavior, but we can get an idea of the overall risk of a neighborhood, a city, or a region from data that reveals how a particular contagion is evolving," emphasizes Marília Antunes.
It is also the behavioral patterns of the population that allow us to have a perspective on the effects produced by different public health measures. Marília Antunes uses a well-known example: those who are vaccinated benefit from a lower probability of infection, but this more encouraging scenario should not be confused with the absence of contagion risk for an entire group, which may even include several people who have not been vaccinated.
“The risk of contagion is different in vaccinated groups and in groups that do not get vaccinated because the exposures to viral loads are different. Therefore, groups with higher vaccination rates will, in principle, have less viral exposure and, probably, fewer cases of influenza,” emphasizes Marília Antunes.
Although statistics may have limitations in accurately predicting an individual's behavior, they are particularly useful in revealing to each citizen the geographical and temporal spread of an epidemic. “Using statistical techniques, it becomes possible to quantify the risk of contagion in a given location based on the number of detected infections and the data provided by health services,” explains Marília Antunes.
Worldwide, tools provided by governmental and scientific entities already exist that present contagion estimates for different regions based on notifications collected in real time. Marília Antunes highlights the importance of these estimates, but also reminds us that predictions should never lose sight of the quality and quantity of the information collected.
"It may happen that not all cases of infection are reported by patients or even known to hospital authorities, but statistics also has tools that already allow for predictions taking this type of bias into account," concludes the researcher in the field of statistics.