Disease analysis assignment

March 1, 2022

Disease analysis assignment

Disease analysis assignment

Disease analysis assignment

You are required to write a critical analysis of the disease of your choice.

Included in this analysis, you will need to explain how the disease you chose

affects the various body systems where relevant.

The following relevant and concise information must (if pertinent) be included in your write up.

▪ Name of disease

▪ History of the disease

▪ Description of disease

Anatomy of the system(s) involved

▪ Effects on other body systems

▪ Cause of disease

▪ Signs and symptoms

▪ Diagnosis of the disease

▪ Complications, if any

▪ Treatment and side effects

Conclusion for Disease analysis assignment should include the following:

▪ Brief mention of current or proposed research that may significantly impact the

▪ disease.

▪ Prevention strategies if any

▪ Your insight / opinion

NOTE: you must focus on the anatomy & physiology of the disease/disorder. Cover the normal anatomy & physiology of the organ

Disease analysis assignment

Disease analysis assignment

system affected and then state what the disease/disorder does to this organ system, and other organ systems. In other words, if you are picking tuberculosis, I do not want you to go too much in detail about the bacteria that causes it but how the bacteria escape our body’s defenses and what the bacteria do to the lungs, bones, etc.

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The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease management must fully connect the complete disease lifecycle, including emergence from reservoir populations, zoonotic vector transmission, and impact on human societies. The Framework for Infectious Disease Analysis is a software environment and conceptual architecture for data integration, situational awareness, visualization, prediction, and intervention assessment. Framework for Infectious Disease Analysis automatically collects biosurveillance data using natural language processing, integrates structured and unstructured data from multiple sources, applies advanced machine learning, and uses multi-modeling for analyzing disease dynamics and testing interventions in complex, heterogeneous populations. In the illustrative case studies, natural language processing from social media, news feeds, and websites was used for information extraction, biosurveillance, and situation awareness. Classification machine learning algorithms (support vector machines, random forests, and boosting) were used for disease predictions.

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Posted in nursing by Clarissa