An exciting development has occurred in a child care pilot study in the state of Washington in which a new monitoring methodology appears to be able to build a metric that is effective at determining potential COVID19 infection rates. The results need to be expanded and replicated but it appears that by using a new metric called “Contact Hours” instead of group size, it is possible to build a screening tool that takes into account time, space and numbers of individuals and provides a Conversion Table based upon the number of children, adults, and time of exposure and placing these data into a series of equations with the result, the higher the “Contact Hours”, the higher the potential infection rate.
It uses a color coded (red, yellow, green) traffic light pattern in which as the “Contact Hours” increases, it correlates with the potential spread of the COVID19 virus. Red indicates “Highest Potential”; Yellow indicates “Mid Range Potential”; and Green indicates “Lowest Potential”. The “Contact Hour” modeling and formulas take into account both exposure time as well as density distributions of individuals. The “Contact Hour” metric is much more effective and efficient than either measuring group size or staff-child ratios alone or in combination.
The Washington child care validation pilot study is attached here:
The authors of the study are now interested in fine tuning the methodology to determine the exact thresholds in the “Contact Hours” models which can statistically predict the potential spread of the virus.