Analysis
With regards to the effectiveness of the map being created it was observed that there were issues using the hydrology to show flow accumulation. The flow accumulation was successful but it was somewhat confusing in display. The flow direction however was better. It showed where the deaths was less concentrated and as a result potential areas where it would flow into. The color wheel with contrasting colors would be key in showing this with the base interpolated color being different from that of the flow direction. The color black or grey however was shown to be effective for the flow accumulation portion.
Fig 4.
The death rate is still climbing but the curve is still being worked on being flattened. There have been ventilators that have circulated the areas of New York and other parts of america. Also, a lot more people seem to be wearing masks that have been made available since the start of this pandemic but it is yet to be determined how that affects the death rate results.
Speaking of the death rate results, it is still yet to be determined whether the accuracy of the death models posted on the map creation page are accurate because of the CDC but with regards to how to calculate the death rate it would be the deaths per year over the confirmed coronavirus cases per year. As for the percent difference, since we would be calculating the deaths per day the percent change between the death rate per day would be what we would use to determine whether there would be a flattening of the curve or an increase. Also we will still be working with data from a few days back since the current data per day is being crosschecked for errors in counting whether the deaths per day is as a result of the virus or something else. Below is a graph of the current cases and current deaths showing the curves going up per day. Although the data is still being reviewed for the magnitude of the deaths, the graph might be similar because deaths are actually occurring related to the virus but if all the data currently put are determined to be accurate it would look like this graph and even then it is a graph for the 21st of April based on the fact that the new data is still being cross checked.
Fig 5.
Regarding the Houston location however, below is a current map displaying the the current confirmed cases with data from the Assured Health center by the zip code and symbolized using graduated colors for the confirmed cases since the deaths are still questionable.
Fig 6.
The numbers of confirmed cases might actually be more due to the fact that there are a lot of asymptomatic carriers that have not been tested in Houston. Although there has been a lock down in Houston, businesses are slowly starting to open even though it is not recommended. Looking at the map for the confirmed cases you can't really tell what the correlation is between confirmed and unconfirmed due to the fact that it is pretty evenly spread out because there doesn't seem to be a correlation between the specified locations such as the schools and the confirmed cases. It seems pretty randomly spread when looking at Houston regarding confirmed cases. The deaths on the other hand may tell a different story.
The map below shows the demand for ventilators and other supplies needed in New York. Due to the fact that New York was one of the hardest hit states due to how dense it is, looking at the demand for ventilators is a direct correlation linking it to the deaths experienced in that geographic location.
Fig 7.
As you can see there is a demand for Covid 19 supplies and it seems to be one of the reasons why the death rates may not be slowed. And with the businesses currently being opened back up, the demand for a booming economy may cause the death rates to increase. Another factor could be that New York is so congested as opposed to what may be experienced in Houston. Although Houston has experienced more cases as of recent, the number of people that drive in Houston are far more than than the number of people that drive in New York. Hence the added reason for supplies in New York. Because a lot of people walk a lot more in New York as opposed to Houston and use the train more rather than drive. This makes social distancing hard in New York and makes what they are currently experiencing similar to what is experienced in China because the cities in china are mostly structured in the same fashion as observed in New York and people walk a lot more over there so it would make sense why the confirmed cases and he number of people that died was so quick at the start in early January through march.
Looking at the bigger picture of the map for the united states as a result, it is safe to say that we would need to look at all the states of america to get a better understanding of where the deaths are concentrated to based on the confirmed cases and these other analysis, to see if these hot spots as a result are consistent in death as they are in confirmed regions.
Similarly, Italy below shows the confirmed cases and spread just as quickly as New York and china but at different times. There is no data for the ratios of the demand but if the Italian government provides locations for where hospitals are lacking and looking at the poorest regions of the nation likewise it can be further determined whether the poverty rate or class levels affects who gets affected, treated, and as a result lives or dies based on those factors. But the lifestyle regarding walking and not as much driving is similar but the hospital quality is said to be low and the demand for equipment and physicians according to reporters is said to be high.
Fig 8.
When we look at america as a whole we look a correlation is actually made between the confirmed cases and the number of beds available in hospitals/hospital location. It turns out that the most affected areas have the most hospitals and as a result since all the health care workers are swamped with treated covid 19 cases it would make sense that these areas would be congested with confirmed cases and that also affects the number of people that die since so many confirmed people are in such close proximity but we shall see how this reflects in the results for american fatalities.
Fig 9.
Likewise there is a correlation between the operating testing centers and the confirmation density.
Fig 10.
The areas where testing is restricted have the most densely populated confirmed cases and as a result potential deaths. All the areas in which there is no testing are potential areas for contamination and as a result testing would need to flow in those areas as well just so we know that the results are accurate. Below is likewise a map for testing locations in the Houston area. There apparently is only one mobile testing site and these other locations seem to be overwhelmed. Although the Houston map above shows that there are less cases of confirmed people in Kingwood, it may also be attributed to a lack of testing in these locations and since there aren't specific testings in these locations the recorded deaths for those locations may not be accurately recorded and attributed to the right source of death. So More testing locations are needed to accurately monitor the fatalities. There are no listed testing locations for Italy to analyze. And there are currently no listings of ventilators and other supplies with regards to houston but as these new areas begin to get more testings it will create a demand and supply map much like experienced in New York. It looks to be that it seems to just be starting in the houston area even though there has been a quarantine as of late.
Fig 11.
