Week 5 Report Three

Report I

This paper was drafted based on the statistical analysis of the infected cases observed in the major cities.

The prevalence rate understanding got based over per 100,000 people division. The primary consideration

got placed over the top

five

cities and the

ir related causes and the prevalence rates to prepare the

meaningful analysis

(Eupati, 2020)

.

Case Study

There are top five cities filtered out, from the data provided to develop the understanding of the infection

rates, which

are as follows:

Highest

C

ases

R

anked Cities

Total

N

umber

of

C

ases

Prevalence

R

ate

(@ 100,000

people)

Jacksonville

322

0.32%

Miami

299

0.30%

Phoenix

289

0.29%

Austin

281

0.28%

Houston

272

0.27%

As we can see, the top five cities include

Jacksonville, Miami, Phoenix, Austin, and Houston, which have

almost 1463 cases out of the total reported 4852 cases. This data makes contributions of 30.15%. They were

reflecting on five cities that have a significant contribution to the total number of c

ases. Hence, these cities

mainly focused on making the overall decrease in the rate of cases that got observed.

If we look into the individual cases in the top five cities, we can see that the highest number of cases got

observed in

Jacksonville at 322. In contrast, the lowest of these top cases are observed in Houston at 272

cases, stating no significant difference in the infected cities.

The prevalence rate observed at the rate of 100,000 people diversification, hence the highest at

Jacksonville,

is stated at 0.32%. In contrast, the lowest at Houston stated at 0.27%. Overall, the prevalence reflects a

lower prevalence in every 100,000 people in the city.

Conclusion

From the study above, we can state that the top

cities are contributing to the significant cases individually,

which got reported overall; however, the prevalence rate is still low. However, this rate cannot get

neglected. To control the overall infection rate, we can take this rate of prevalence as the

guideline to

Report I

This paper was drafted based on the statistical analysis of the infected cases observed in the major cities.

The prevalence rate understanding got based over per 100,000 people division. The primary consideration

got placed over the top five cities and their related causes and the prevalence rates to prepare the

meaningful analysis (Eupati, 2020).

Case Study

There are top five cities filtered out, from the data provided to develop the understanding of the infection

rates, which are as follows:

Highest Cases Ranked Cities

Total Number

of Cases

Prevalence Rate

(@ 100,000

people)

Jacksonville 322 0.32%

Miami 299 0.30%

Phoenix 289 0.29%

Austin 281 0.28%

Houston 272 0.27%

As we can see, the top five cities include Jacksonville, Miami, Phoenix, Austin, and Houston, which have

almost 1463 cases out of the total reported 4852 cases. This data makes contributions of 30.15%. They were

reflecting on five cities that have a significant contribution to the total number of cases. Hence, these cities

mainly focused on making the overall decrease in the rate of cases that got observed.

If we look into the individual cases in the top five cities, we can see that the highest number of cases got

observed in Jacksonville at 322. In contrast, the lowest of these top cases are observed in Houston at 272

cases, stating no significant difference in the infected cities.

The prevalence rate observed at the rate of 100,000 people diversification, hence the highest at Jacksonville,

is stated at 0.32%. In contrast, the lowest at Houston stated at 0.27%. Overall, the prevalence reflects a

lower prevalence in every 100,000 people in the city.

Conclusion

From the study above, we can state that the top cities are contributing to the significant cases individually,

which got reported overall; however, the prevalence rate is still low. However, this rate cannot get

neglected. To control the overall infection rate, we can take this rate of prevalence as the guideline to