VDMP
Utilizing Population Density Maps for Grid Analysis in Order to Establish Covid Free Zones Within a Given Region Post Covid Vaccination
In order to estimate the amount of Covid-19 free zones, in a given area among a group of individuals, an analysis should be conducted. Starting with an established map of the region, with defining lines, such as state and country borders. In the case below, the outline is defined predominantly as the state border, and within it, as population density per square mile. The defined areas that separate a given land mass, within each segment, is the population count, visible on the population density map below.
Each area reflects the amount of individuals who are residing in that particular region. The demographics are visible by color, for example light blue equals zero individuals in an area, dark green implies one to ten within the area, light green is from ten to twenty five and etc. In order to observe the greatest amount of cases, the first region to document would be the area which is color coded as dark red, which implies more than five thousand people. These few concentrated regions which are dark red have the greatest amount of the population, for this particular defined region. Next, additional grid lines are drawn above the map in order to narrow a specific area.
In this case, the area marked is the one which has the greatest amount of the population per square foot. This can be further evaluated by identifying the area which is being analyzed.
This is the defined region which reflects the greatest population density in a particular area. Further lines can be graphed to subdivide the region into smaller segments in order to narrow down the amount of individuals. In the case of initiating Covid case zones with the greatest amount of positive test cases, this is the area to identify first. This is also the region to define, in order to identify an outbreak during the preliminary stages, in an effort to contain the spread of the Covid-19 virus.
In order to proceed from the least densely populated areas with the fewest number of individuals it is same method as shown and should be executed first.
There are no regions with the color code for dark green, the area with the least population density on this map, therefore the region with the color light green, which reflects an occupation of twenty five to fifty individuals, is the one to analyze. This area is marked below.
This grid with the least amount of population density, reflects an area with less then fifty individuals. Within this marked area, the initial accumulation of data would proceed. In the case of initiating Covid free zones within a given region, it is most feasible to start with the least densely populated areas.
With this data these numbers can be further analyzed, to determine how many individuals can be placed into one of the following categories. Tested for Covid-19/test results positive/test results negative/not tested/vaccinated/planning on being vaccinated/not vaccinated/unknown. In order to assess the quantity of required data to determine the specific criteria for a particular region to initiate the implementation of Covid free zones.
