What are current  trends in HIV & AIDS infections in the U.S.?<br />Melanie Smith<br />EDCI 5377<br />Spring 2010<br />
This is an important issue not only in the world, but also in our own country.<br />I think, because there so many commerc...
Having students (high school and perhaps middle school) mine the web for raw data about HIV and AIDS infections can make t...
I started my search on the Centers for Disease Control and Prevention’s webpage for HIV, AIDS, STD, and TB prevention: htt...
The Centers for Disease Control and Prevention (CDC) provides an enormous amount of information on their website.<br />Spe...
Data<br />The CDC has all of their accumulated information nicely organized.<br />Data regarding the diagnoses and infecti...
I took the data from the CDC’s report and organized it in an Excel spread sheet.<br />This collection of data represents t...
Age of HIV Diagnosis<br />On the previous slide I provided the data for the age of diagnosis with HIV.<br /> I organized t...
Age of HIV Diagnosis<br />For each year’s data, I created a subtotal line that utilized one of Excel’s many mathematics fe...
Age of HIV Diagnosis<br />As one can see in the pie charts, the proportions of each age group stayed the same even though ...
Age of HIV Diagnosis<br />Presenting the raw data in a bar graph format allows one to see how each year’s data relates to ...
Age of HIV Diagnosis<br />With each step – raw data, spread sheet, graphs – the data appears much more understandable, eas...
Race/Ethnicity of HIV Diagnosis<br />Using the raw data, the next logical break-down was to organize the data by ethnic ba...
Race/Ethnicity of HIV Diagnosis<br />Seeing the differences in the racial groups, I asked why there was such a difference....
Race/Ethnicity of HIV Diagnosis<br />Once again, I broke down the data into smaller pieces. Analyzing these charts, the nu...
I think it is important to note that while pie charts are an important tool, they need to be used appropriately.<br />Pie ...
Transmission of HIV - Males<br />After looking at the Racial/Ethnicity breakdown, I organized the data based on who was in...
Transmission of HIV - Males<br />Using the pie chart to visually represent the data, it is extremely obvious to see how th...
Transmission of HIV - Males<br />With the exception of “Other,” the trend within male transmission is a decrease in the oc...
Transmission of HIV - Females<br />As with the other data sets, I entered the raw data into Excel in order to organize it....
Transmission of HIV - Females<br />Similar to previous data sets, placing the raw data into an Excel spreadsheet allows th...
Transmission of HIV - Child<br />Taking away the natural emotional response, I think this set of data is interesting. I th...
The previous slides presented data involving the diagnosis of HIV – ages of those when initially diagnosed with the infect...
Age of AIDS Diagnosis<br />As was done with the data about an HIV diagnosis, I started with raw data from the CDC and star...
Age of AIDS Diagnosis<br />Using a bar graph, it is much more obvious to see where the majority of the initial AIDS diagno...
With the previous slide’s data, I think it is an appropriate time to compare two sets of data: initial diagnosis of HIV an...
Age of AIDS Diagnosis<br />After entering the data into a spreadsheet, generating a bar graph, and observing some apparent...
Race/Ethnicity of AIDS Diagnosis<br />Similar to the breakdown of Ethnicity with a diagnosis of HIV, the breakdown with AI...
Race/Ethnicity of AIDS Diagnosis<br />I think it is appropriate to compare the ethnicity data of an HIV Diagnosis to that ...
Race/Ethnicity of AIDS Diagnosis<br />As with all of the previous data, I started with the raw material from the CDC, orga...
Transmission of AIDS - Males<br />As was done with previous data, to create the subtotal line (in order to analyze an over...
Transmission of AIDS - Females<br />Between the two visual sets of the same data – a spreadsheet and a bar graph – the gra...
Transmission of AIDS - Child<br />Transmission of HIV<br />After analyzing these two sets of data, some natural questions ...
Diagnosis of AIDS in the U.S. – By Region<br />I think this set of data benefits from having an actual picture along with ...
Concluding Thoughts<br />What are the current trends in HIV and AIDS infections in the United States?<br />After looking a...
References<br />AIDS & HIV. http://aids.immunodefence.com/2006/11/. Viewed on February 27, 2011.<br />Centers for Disease ...
References<br />Power of Peace. http://www.powerofpeace.com/node/4181. Viewed on February 27, 2011.<br />Science Roll. htt...
Upcoming SlideShare
Loading in...5
×

M Smith - EDCI 5377 - Web Mining

384

Published on

EDCI 5377 Web Mining Assignment

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
384
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

M Smith - EDCI 5377 - Web Mining

  1. 1. What are current trends in HIV & AIDS infections in the U.S.?<br />Melanie Smith<br />EDCI 5377<br />Spring 2010<br />
  2. 2. This is an important issue not only in the world, but also in our own country.<br />I think, because there so many commercials and celebrities pushing for more research for cures, many people (especially the youth) can become desensitized to the epidemic. <br />What are the current trends in HIV and AIDS infections in the United States?<br />Visit Bulgaria. http://visitbulgaria.info/california-cover-cost-hiv-screening-0 Viewed on February 27, 2011.<br />
  3. 3. Having students (high school and perhaps middle school) mine the web for raw data about HIV and AIDS infections can make the plight of so many more real to them.<br />What are the current trends in HIV and AIDS infections in the United States?<br />Graphics Hunt. http://www.graphicshunt.com/tags/1/hiv+prevention.htm Viewed on February 27, 2011.<br />
  4. 4. I started my search on the Centers for Disease Control and Prevention’s webpage for HIV, AIDS, STD, and TB prevention: http://www.cdc.gov/hiv/default.htm.<br /><ul><li>My initial question (or more accurately, my initial subject, since I wasn’t sure of a specific question) was HIV and AIDS related.</li></ul>Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/default.htm. Viewed February 27, 2011.<br />
  5. 5. The Centers for Disease Control and Prevention (CDC) provides an enormous amount of information on their website.<br />Specifically for the HIV and AIDS portion of their website, there is a host of specific topics: basic information, specifics for different gender and ethnic groups, etc.<br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/default.htm. Viewed February 27, 2011.<br />
  6. 6. Data<br />The CDC has all of their accumulated information nicely organized.<br />Data regarding the diagnoses and infection of HIV and AIDS in the United States population can be found under “Reports.”<br />All of the information I used can be found in the many pages of an all encompassing report from 2009 (the most current published).<br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/surveillance/resources/reports/2009report/index.htm. Viewed on February 27, 2011.<br />
  7. 7. I took the data from the CDC’s report and organized it in an Excel spread sheet.<br />This collection of data represents the ages at which HIV was diagnosed from 2006 to 2009.<br />I then created various graphs that presented the information in smaller, easier to manage sections. <br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/surveillance/resources/reports/2009report/pdf/table1a.pdf. Viewed on February 27, 2011.<br />
  8. 8. Age of HIV Diagnosis<br />On the previous slide I provided the data for the age of diagnosis with HIV.<br /> I organized this data by creating graphs for each year in the study.<br />
  9. 9. Age of HIV Diagnosis<br />For each year’s data, I created a subtotal line that utilized one of Excel’s many mathematics features: Sum. Instead of adding each column outside of the application (with a calculator), set up the Sum feature (indicating which cells to add together) and the program automatically does it for you. <br />
  10. 10. Age of HIV Diagnosis<br />As one can see in the pie charts, the proportions of each age group stayed the same even though the actual numbers were different. This isn’t obvious (at least not as obvious) when looking at the raw data.<br />
  11. 11. Age of HIV Diagnosis<br />Presenting the raw data in a bar graph format allows one to see how each year’s data relates to the other years’ data.<br />As one can see on the graph, with the exception of the 20-24 year old age group, the number of people being diagnosed with HIV in each age group has dropped over the span from 2006 to 2009.<br />
  12. 12. Age of HIV Diagnosis<br />With each step – raw data, spread sheet, graphs – the data appears much more understandable, easier to analyze, and just “prettier.”<br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/surveillance/resources/reports/2009report/pdf/table1a.pdf. Viewed on February 27, 2011.<br />
  13. 13. Race/Ethnicity of HIV Diagnosis<br />Using the raw data, the next logical break-down was to organize the data by ethnic background. <br />After analyzing the numbers, it is obvious there is an alarming difference between three racial groups (African American, Hispanic, and white) and the rest of the population.<br />
  14. 14. Race/Ethnicity of HIV Diagnosis<br />Seeing the differences in the racial groups, I asked why there was such a difference. I’m sure students would do the same when presented with the same data.<br />What is causing the numbers to be so much higher for blacks, Hispanics, and whites? What are these groups doing that the others are not?<br />
  15. 15. Race/Ethnicity of HIV Diagnosis<br />Once again, I broke down the data into smaller pieces. Analyzing these charts, the numbers reported stayed fairly proportionate as they changed.<br />
  16. 16. I think it is important to note that while pie charts are an important tool, they need to be used appropriately.<br />Pie charts are great for visually comparing amounts for one specified unit (a year in this case). <br />When looking at the pie charts for each year, it is impossible to see that the total numbers are dropping. <br />
  17. 17. Transmission of HIV - Males<br />After looking at the Racial/Ethnicity breakdown, I organized the data based on who was infected and how the HIV infection was transmitted.<br />Similar to my processing of the other data, I created a subtotal for each year using the Sum function within Excel.<br />
  18. 18. Transmission of HIV - Males<br />Using the pie chart to visually represent the data, it is extremely obvious to see how the majority of men transmit HIV. This can lead to increasing awareness movements within particular communities to ensure that this number continues to decrease. <br />
  19. 19. Transmission of HIV - Males<br />With the exception of “Other,” the trend within male transmission is a decrease in the occurrence an diagnosis of HIV.<br />I think the next step in acquiring raw data would be to break down the “Other” group. How can the medical community increase the ways in which we can protect those males who seem to acquire HIV in more of a “medical” situation (hemophiliacs, blood transfusions, and perinatal [in utero])?<br />
  20. 20. Transmission of HIV - Females<br />As with the other data sets, I entered the raw data into Excel in order to organize it. I created a subtotal line, as I did with the other pieces of data, in order to see the overall change from year to year. The general decreasing trend holds true with this group of society. <br />
  21. 21. Transmission of HIV - Females<br />Similar to previous data sets, placing the raw data into an Excel spreadsheet allows the user and audience to understand and analyze the data in an easier manner and in a smaller amount of time.<br />
  22. 22. Transmission of HIV - Child<br />Taking away the natural emotional response, I think this set of data is interesting. I think that unless a student (child/teenager) has a personal experience with HIV, he or she generally thinks of the infection as an adult disease.<br />AIDS & HIV. http://aids.immunodefence.com/2006/11/.<br />Viewed on February 27, 2011.<br />
  23. 23. The previous slides presented data involving the diagnosis of HIV – ages of those when initially diagnosed with the infection, their gender, race or ethnicity, and the transmission of the disease.<br />The following slides will be about the next stage in the disease: AIDS. <br />What are the current trends in HIV and AIDS infections in the United States?<br />Science Roll. http://scienceroll.com/2010/06/28/aidshiv-in-social-media-2/. Viewed on February 27, 2011.<br />
  24. 24. Age of AIDS Diagnosis<br />As was done with the data about an HIV diagnosis, I started with raw data from the CDC and started “playing” with it. <br />I then entered the data into a spreadsheet on Excel.<br />Once this was done, I was able to create graphs in order to more easily analyze the data.<br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/surveillance/resources/reports/2009report/pdf/table2a.pdf. Viewed on February 27, 2011.<br />
  25. 25. Age of AIDS Diagnosis<br />Using a bar graph, it is much more obvious to see where the majority of the initial AIDS diagnosis are (age brackets 35-39, 40-44, and 45-49). As with the previous slides, it is also obvious that the decreasing trend holds true.<br />
  26. 26. With the previous slide’s data, I think it is an appropriate time to compare two sets of data: initial diagnosis of HIV and that of AIDS.<br />AIDS Diagnosis<br />HIV Diagnosis<br />In analyzing the graphs together, I came up with a few questions: Shouldn’t the curve of the overall graph be similar on both? Why is there a difference in the curves? Why is the AIDS graph a “true” bell curve while the HIV graph is not?<br />
  27. 27. Age of AIDS Diagnosis<br />After entering the data into a spreadsheet, generating a bar graph, and observing some apparent trends, I created pie charts in order to analyze any trends in the data from year to year.<br />As was seen in previous pie chart visuals of the data, while the numbers change from year to year, the proportions between the age groups remains consistent from year to year.<br />
  28. 28. Race/Ethnicity of AIDS Diagnosis<br />Similar to the breakdown of Ethnicity with a diagnosis of HIV, the breakdown with AIDS is disproportionately weighted.<br />As every analysis brings answers, it raises many more questions. Why is AIDS more prevalent in people of African American ethnicity? Why are there still only a few races that seem to be “hit hard”? Why are some of the races not “hit” as hard?<br />
  29. 29. Race/Ethnicity of AIDS Diagnosis<br />I think it is appropriate to compare the ethnicity data of an HIV Diagnosis to that of an AIDS Diagnosis.<br />HIV Diagnosis<br />When looking at the actual numbers, why is the diagnosis of HIV more prevalent than that of AIDS? What is preventing certain HIV cases from progressing to AIDS? <br />Proportionately, the data is consistent between an HIV Diagnosis and an AIDS Diagnosis. <br />AIDS Diagnosis<br />
  30. 30. Race/Ethnicity of AIDS Diagnosis<br />As with all of the previous data, I started with the raw material from the CDC, organized it into a spreadsheet, and “beautified” it into the easily palatable form of a graph.<br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/surveillance/resources/reports/2009report/pdf/table2a.pdf. Viewed on February 27, 2011.<br />
  31. 31. Transmission of AIDS - Males<br />As was done with previous data, to create the subtotal line (in order to analyze an overall change from year to year in AIDS transmission in males) I utilized Excel’s Sum function. The Sum function allows you to enter data and have the sum of designated boxes added together without needing an external calculator.<br />
  32. 32. Transmission of AIDS - Females<br />Between the two visual sets of the same data – a spreadsheet and a bar graph – the graph is easier to get a quick feel for the data, while the spreadsheet gives specific numbers more easily (quicker).<br />Analyzing a data set is much “easier” to accomplish when given different ways of viewing the data. Seeing just one of these visuals is fine, but fully digesting the data won’t happen until both the numbers version and the picture version of the data are seen.<br />
  33. 33. Transmission of AIDS - Child<br />Transmission of HIV<br />After analyzing these two sets of data, some natural questions arise. While both sets of data (transmission of HIV versus AIDS in children) are much lower than the other data in the study, why is the transmission of AIDS so much lower? How can the difference be used to decrease the HIV transmission numbers?<br />Dr. Talented. http://www.drtalented.com/children-aids-and-hiv/. Viewed on February 27, 2011.<br />
  34. 34. Diagnosis of AIDS in the U.S. – By Region<br />I think this set of data benefits from having an actual picture along with the spreadsheet and graph forms. The map helps one visualize the breakdown by region better than mere words can do.<br />Power of Peace. http://www.powerofpeace.com/node/4181. Viewed on February 27, 2011.<br />
  35. 35. Concluding Thoughts<br />What are the current trends in HIV and AIDS infections in the United States?<br />After looking at and analyzing the data (using both the spreadsheets and graphs), the general trend is that the diagnoses (new occurrence) of both HIV and AIDS is on a slow decline. <br />While that question is now answered, many more now arise. <br />Why are certain groups still so high? Why is there such a difference between certain groups? <br />Tapestry Health. http://teens.tapestryhealth.org/index.php/resources/i%E2%80%99m-a-teenager-what-do-i-need-to-know-about-hivaids-law-in-ma/. Viewed on February 27, 2011.<br />
  36. 36. References<br />AIDS & HIV. http://aids.immunodefence.com/2006/11/. Viewed on February 27, 2011.<br />Centers for Disease Control and Prevention. http://www.cdc.gov/hiv/default.htm. Viewed February 27, 2011.<br />Dr. Talented. http://www.drtalented.com/children-aids-and-hiv/. Viewed on February 27, 2011.<br />Graphics Hunt. http://www.graphicshunt.com/tags/1/hiv+prevention.htm Viewed on February 27, 2011.<br />
  37. 37. References<br />Power of Peace. http://www.powerofpeace.com/node/4181. Viewed on February 27, 2011.<br />Science Roll. http://scienceroll.com/2010/06/28/aidshiv-in-social-media-2/. Viewed on February 27, 2011.<br />Tapestry Health. http://teens.tapestryhealth.org/index.php/resources/i%E2%80%99m-a-teenager-what-do-i-need-to-know-about-hivaids-law-in-ma/. Viewed on February 27, 2011.<br />Visit Bulgaria. http://visitbulgaria.info/california-cover-cost-hiv-screening-0 Viewed on February 27, 2011.<br />
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×