Tracking+Diseases

  a wiki page on one of the topics below. You may work with one partner. Each team must create a complete and comprehensive Wiki page that contains all of the following:

the key IT terms related to your topic The IT systems key terms that are integrated with our topic covers a multitude of areas from technology, to home and leisure. using terms such as Globalization: By using this with compatible softwares such as google maps, mapping out the entire earth would be done within a matter of seconds. With users uploading new content at all times mapping ideals in real time would be possible via social media. This would not exclusive to a single country but countries all over the world. Allowing constant access and ease of access to everyone allows data to be both reliable and easy to comprehend.

Reliability: With the addition of uploading new content in real time most of the data presented will be accurate to some degree, User will be able to upload information based on the data that is being presented by those who are sick or notice that a trend has started within a certain area. Health Impact : Trends that are seen in the area can be recorded, documented and monitored. During this time sanitation can be improved with doctors working around the clock to improve the conditions that are present. Using this data we can map out certain trends and prevent few casualties by improving these condition as it progresses.

Compatibility: These IT systems should be compatible with multiple platforms including PC, Phones, and tablets

any IT processes that are related to your topic Google docs is the primary IT Device that is used in this process. All of the data can be uploaded and mapped using different statics softwares such as google sheets and or Excel. In addition, data is acquired through human interaction in specific locations worldwide. The humans use Internet capable machines, normally phones and computers, to input data into a database. Every database is reviewed, and used by certain organizations that wish to use them to map disease trends. The desired data is then used, and put into one large database using the required software.

the Strand 1 issues and impacts. (All claims must be supported by evidence and real life examples) The Strand 1 issue and most relates to the topic of mapping of disease trends is “People and Machines”. The nature of mapping disease trends involves interactions between humans, and machines that allow for data collection and combination. The impacts of this interaction can have both positive and negative social and ethical effects. One of the most prominent disease mapping tools used by people in medicine is “HealthMap”. HealthMap is extremely similar to Google Maps in that a map is displayed for users to view. News and alerts from around the globe are presented to anyone who wishes to view them, and includes data acquired from various news feeds and health organisations. Data is taken from locations around the world, and stored on Internet capable servers. These servers are sent to a centralized location through the use of satellite technologies. After a multitude of sources with plenty of data has been collected, the map is updated to present this data through a single source of news. This interaction between people and machines can have both positive and negative impacts. One key social benefit is the ability to gather data from regions affected by certain diseases or trends. In the past, updates pertaining to remote location could take weeks. Today, this can be done instantly, through the use of phones and computers, allowing other locations to help, or better prepare themselves. By knowing of certain disease trends, measures can be taken to to prevent further outbreaks. In contrast, on negative ethical impact is the reliability issues that arise. Data is gathered from a vast variety of sources. These could range from medical professionals, to ordinary citizens. This can cause inaccurate, false, or exaggerated data, thus ruining the reliability of the acquired data. False data can also cause panic, or incorrect measures could be taken, resulting in possibilities of loss of life. In conclusion, the interaction between human and machines, and mapping of disease trends has both positive and negative impacts. Although much good can be accomplished, through quick reactions to outbreaks and rapid care for those affected, issues arise in the reliability of the data collected. If these technologies are to be used, the data must be reviewed and compared to other data before being relied upon and used.

multiple, specific real life examples that relate to your topic
 * During the recent outbreak of the Ebola virus throughout the world, The World Bank mapped the spread of the disease from region to region across the world. This was done through cross referencing sources of diseased patients, and inputting this data that can be used by current satellite technologies.
 * In Uganda, the Uganda Malaria Surveillance Project uses IT to track cases of malaria throughout the country. Ths system used a centralised database based in Kampala, and nine field offices equipped with smart phones and computers.
 * HealthMap shows the latest health news throughout the world using data from various news feeds, such as the World Health Organisation.
 * The Human Genome Project is an international collaborative project to map the functions of the human genome. In the end, an online database would be available and accessible to anyone with an Internet connection.

how your topic relates to the 2010 HL Paper 3 Oobunta Case Study. Give an account of the similarities between the two, referring to both of them throughout. Ensure that you make direct reference to the case study booklet using line numbers appropriately. One of the main issues that Oobunta is having in regards to medicine involves the issues with providing stable internet connection throughout the entirety of the country. According to the case study, on line 65, “There are problems with connections between the IT systems in the hospital and outlying villages”, and on line 75 “In 2008, Internet coverage was good in Oobunta and major provincial cities, but poor or non-existent in rural areas”. This can be compared to mapping of disease trends in that both require stable Internet connections throughout multiple locations, and data collection that can be pooled into one major source of information. In many ways, Oobunta is looking to improve their ability to map disease trends by innovating the Internet capabilities throughout the country. This will improve overall health care throughout the country, and increase the quality of life.

and embed at least three videos, three graphics, and three recent and relevant articles or studies from relevant sources. Videos __[|https://www.youtube.com/watch?v=UWmmKQiKNQ]__ Graphics 



Resources
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 * [|__http://www.healthmap.org/en/__]
 * http://bsr.espon.eu/opencms/opencms/Domains/Access_to_services_markets_and_jobs/Potential_accessibility/Accessibility_potential_by_rail/tables.html

Bold ITGS Key Terms and CITE ALL sources appropriately in the text, in a bibliography, and at the end of the page with [|__Easybib__].

__Works Cited__

Gray, Stuart. "Chapter 12: Health." Information Technology in a Global Society for the IB Diploma. Lexington, KY: CreateSpace, 2011. 266-67. Print.

English, Paul B. "American Jnl of Epidemiology." An Introductory Guide to Disease Mapping. Oxford Journals, 2001. Web.