A study of the passing of swine flu among a set of schoolchildren found that the disease was primarily spread through one’s social network:
A new study of a 2009 epidemic at a school in Pennsylvania has found that children most likely did not catch it by sitting near an infected classmate, and that adults who got sick were probably not infected by their own children.
Closing the school after the epidemic was under way did little to slow the rate of transmission, the study found, and the most common way the disease spread was a through child’s network of friends…
The scientists collected data on 370 students from 295 households. Almost 35 percent of the students and more than 15 percent of their household contacts came down with flu. The most detailed information was gathered from fourth graders, the group most affected by the outbreak.
The class and grade structure had a significant effect on transmission rates. Transmission was 25 times as intensive among classmates as between children in different grades. And yet sitting next to a student who was infected did not increase the chances of catching flu.
Social networks were apparently a more significant means of transmission than seating arrangements. Students were four times as likely to play with children of the same sex as with those of the opposite sex, and following this pattern, boys were more likely to catch the flu from other boys, and girls from other girls.
This sounds like a very interesting dataset as it was collected in real-time as the disease spread. Hopefully, we will get more data like this in the future so that we aren’t left with the problem of trying to trace a disease’s spread after the fact. But getting this kind of data would require more intense observation (or records) of a specific group of people.
If closing the school is not the answer, how then should authorities respond in order to slow down the spread of disease?
Sounds like another advantage for Social Networking Sites where you can interact with your friends with only the threat of a computer virus…