Plotting Data on Map
Data has been collected on 40 states of the US sourced from the CDC that mostly had an outbreak of the deadly virus, infecting millions of people in the year 2020. The 3D map to identify which states were majorly affected in the US is as follows:
According to the local dataset drawn on the map regarding which states of America have been stricken by Coronavirus the most, the state of Florida is the most affected of all. Secondly, New York state as well as the city is most affected by the attacks of the dangerous virus. Illinois and North Carolina in the map point to approximately more than 3 million cases of Covid-19 in the year 2020. Moreover, data collected from Pennsylvania and Ohio record nearly 3 million cases in both states of the USA. For the 2 million cases of Covid-19 among people in Michigan, Georgia, Arizona, Tennessee, Virginia, New Jersey, and Arizona, death status was high in all the states since the beginning of the outbreak in 2020. The map shows the number of Coronavirus cases reported in the following year in several states of America including Massachusetts, Maryland, Missouri, and Washington point that more than 1.5 million people got affected in the year 2020. Alabama, Minnesota, Louisiana, Colorado, Kentucky, Indiana, Oklahoma and some other US-affiliated jurisdictions reported ongoing community spread of the virus during the US Covid-19 outbreak. Many of the other states of the United States including West Virginia, Kansas, Alaska, Hawaii, Montana, Mississippi, and Maine were listed with less than 1 million people affected by the deadly virus. New Mexico, Nevada, North Dakota, New Hampshire, Connecticut, Idaho, Arkansas, and Delaware recorded less than 50,000 cases in the year 2020. In the nutshell, states that carried the largest numbers of exposure risks were identified as Florida, New York, Illinois, and North Carolina (CDC, 2020).
Artificial Intelligence is the new advancement in the healthcare system around the globe and the United States in particular is buzzing as it has widespread ramifications that have transformed the healthcare sector. The new aspects of Artificial Intelligence powered products have the potential to change every aspect of healthcare circles with good reason. For instance, Radiology at the forefront explores how AI can interpret disease through images and how digital therapeutics bode well for humanity’s health as well as better healthcare outcomes while outperforming doctors in every scenario. It is predicted that in the future symptom-checker app may prescribe the patient to download some other software paradigms to treat their symptoms with no human service in the loop. However, it would be difficult for healthcare professionals, HCPs, and patients to embrace that paradigm because we are creatures of habits and we do not like having new thoughts, new adaptations, and new habits (Davenport & Kalakota, 2019). For us humans, change is always difficult and healthcare personnel might have ethical dilemmas surrounding the privacy, safety, and confidentiality of the information. So, much more research is required in enhancing the transparency and accountability of Artificial Intelligence Analytics. The recommendation to use AI in the healthcare circle is that this technology should not be used to replace health professionals. Rather, it should be used as a contemporary tool to improve professional expertise in interpreting medical test results and to enhance the technical expertise of individuals working in Radiology departments.
CDC. (2020, February 11). Cases, Data, and Surveillance. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/previouscases.html
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94.