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Key Data Measurement During module two, we began to gain an understanding of various key data measurements and terms of epidemiology. There are many advantages to using bar, chart, line graph, and pie chart data presentations. The terms ratio, rates, proportions, percentages, prevalence and incidence play a vital role in epidemiology.
Data Presentation There are many advantages of using bar charts, line graphs, and pie charts. Once an epidemiological study is completed and all the data is collected, this data is put into visual presentations. These visual presentations help summarize key aspects of the data. “The bar chart is a type of graph that shows the frequency of cases for categories of a categorical variable” (Chamberlain University, 2018). Bar charts can show trends more clearly than a table would. An example for when to use this chart would be, studying the difference in blood sugar levels among males and females related to the development of diabetes. Line graphs also show trends and changes that occur over time. This type of graph plots points along a number line. Pie charts show the proportion of cases in relation to several categories. A pie chart would be very helpful
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Prevalence is the number of people in a sample with disease or trait divided by the number of people in the sample. Prevalence is usually showed as a percentage. For example, the prevalence of Tuberculosis in a nursing home when 20 out of 100 resident tested positive, there would be .2 or 20% prevalence. Incidence is the chance of developing disease amid individual who do not have the disease but risk developing it. (Chamberlain University, 2018) For example a person who is newly diagnosed with HIV is an incident case. Prevalence and incidence are similar but they should not be confused. Prevalence shows how widespread the disease is while incidence reveals information about the risk of contracting the
A person should be able to describe the monthly costs to operate a business, or talk about a marathon pace a runner ran to break a world record, graphs on a coordinate plane enable people to see the data. Graphs relay information about data in a visual way. If a person read almost any newspaper, especially in the business section, they will probably encounter graphs.
In an effort to analyze the natural history of a disease, an epidemiological triangle is used. An epidemiological triangle is comprised of a susceptible host or individual, environment, and a causative agent. The host tends to have low immunity, poor nutrition, and a concurrent disease. The host tends to have poor
International Journal of Epidemiology 36.6 (2007): 1229-234. International Journal of Epidemiology. Oxford University Press, 28 Sept. 2007. Web. The Web.
“Epidemiology is the study of distributing in determinants of disease and disability and populations” (Mausner & Bahn 1974). It’s a basic science of the public’s health and is a measured scientific control that relies heavily on data and study design. Those who study epidemiology focus on specific population and how disabilities and disease affect them. Epidemiological methods have been applied to infectious disease outbreak investigations, but also to studies of longer-term chronic disease investigations. The Behavioral Risk Factor Surveillance System is the largest telephone survey in the world. It’s used to determine the commandments of many health risk behaviors among populations. Surveys were developed and conducted to mon...
Many epidemiologists usually specialize in one or more of the following specific fields, substance abuse, bioterrorism, injury, chronic disease, or infectious disease. Even though there are different areas of epidemiology that are available, they all
Social epidemiology is a branch of epidemiology that explains how socio-structural factors influence disease distribution in the society. Since every population is distinguished by the people that are present in it and their traits, this makes it very important to study the social, structural and biological factors that influence the decisions and behaviors of the people as this ultimately has a remarkable effect on health.
As a population it is extremely important for us to be aware of the diseases that can be contagious to us. By having this opportunity to write a paper about epidemiology I will be able to do more research about epidemiology, so I can increase my knowledge about it and also be able to provide accurate information to the reader. In this essay I am going to write about epidemiology by describing what is epidemiology, how is it impact nursing care, talk about the work of several researcher such as John Snow, Ronald Ross, Janet-Claypon, Alexander Fleming, Frank Fenner by describing their work, and their current impact on nursing, and talk about some of the areas that has been affected with epidemiology in our society.
The human population has a high susceptibility to the contraction of new diseases and outbreaks of these diseases are of high risk. Diseases in recent times that have broken out into the human population are the H7N9 flu strain and SARS. Despite the risk, outbreaks like H7N9 and SARS have been controlled due to epidemiology and other disease control methods. Outbreaks of disease are not uncommon to the human population as they move to new areas around the world with foreign diseases that the native residents would have developed a resistance to.
The development of knowledge requires a number of processes in order to establish credible data to ensure the validity and appropriateness of how it can be used in the future. For the healthcare industry, this has provided the ability to create and form new types of interventions in order to give adequate care across a of number of fields within the system. Research then, has been an essential part in providing definitive data, either by disproving previous beliefs or confirming newly found data and methods. Moreover, research in itself contains its own process with a methodological approach. Of the notable methods, quantitative research is often used for its systemic approach (Polit & Beck, 2006). Thus, the use of the scientific method is used, which also utilizes the use of numerical data (Polit & Beck). Here, researches make use of creating surveys, scales, or placing a numerical value on it subjects (Polit & Beck). In the end the resulting data is neutral and statistical. However, like all things its approach is not perfect, yet, it has the ability to yield valuable data.
...stem from disease, infection, epidemics such as HIV or AIDS that can be spread, if the individual is not handled properly it may increase the risk of others being affected by the disease, consequently this would harm more people.
Krieger shows that epidemiology is suffering from lack of well articulated and comprehensive epidemiology theory and
The father of quantitative analysis, Rene Descartes, thought that in order to know and understand something, you have to measure it (Kover, 2008). Quantitative research has two main types of sampling used, probabilistic and purposive. Probabilistic sampling is when there is equal chance of anyone within the studied population to be included. Purposive sampling is used when some benchmarks are used to replace the discrepancy among errors. The primary collection of data is from tests or standardized questionnaires, structured interviews, and closed-ended observational protocols. The secondary means for data collection includes official documents. In this study, the data is analyzed to test one or more expressed hypotheses. Descriptive and inferential analyses are the two types of data analysis used and advance from descriptive to inferential. The next step in the process is data interpretation, and the goal is to give meaning to the results in regards to the hypothesis the theory was derived from. Data interpretation techniques used are generalization, theory-driven, and interpretation of theory (Gelo, Braakmann, Benetka, 2008). The discussion should bring together findings and put them into context of the framework, guiding the study (Black, Gray, Airasain, Hector, Hopkins, Nenty, Ouyang, n.d.). The discussion should include an interpretation of the results; descriptions of themes, trends, and relationships; meanings of the results, and the limitations of the study. In the conclusion, one wants to end the study by providing a synopsis and final comments. It should include a summary of findings, recommendations, and future research (Black, Gray, Airasain, Hector, Hopkins, Nenty, Ouyang, n.d.). Deductive reasoning is used in studies...
In the health care industry, gathering information in order to find the best diagnosis route or even determine patient satisfaction is necessary. This is complete by conducting a survey and collecting data. When the information is complete, we then have statistical information used to make administrative decision within the healthcare field. The collection of meaningful statistics is an important function of any hospital or clinic.
In descriptive epidemiology, data that describe the occurrence of the disease are collected by various methods from all relevant sources. The data is then collected by time, place, and person. Four time trends are considered in describing the epidemiologic data: secular, periodic, seasonal and epidemic. A description of epidemiologic data by place must consider three different locations: where the individual was when disease appeared, where the individual was when he or she became infected from the source, and where the source became infected with the pathogenic agent. The third focus of descriptive epidemiology is the infected person.
Another definition of epidemiology by Kuller (1991) is that epidemiology is the study of epidemics and their prevention. In simpler terms it can be said that epidemiologists measure disease frequency. However, measuring disease frequency is not as modest as it sounds,