NR 503 Evaluation of Epidemiological Problem Paper NR 503 Evaluation of Epidemiological Problem Paper ? NR 503 DeVry Week 6 Evaluation of Epidemiological Problem Paper Latest Purpose The purpose of this assignment is to Provide learners with the opportunity to integrate knowledge and skills learned throughout this course Directly apply principles and knowledge learned in the course to problem solving of population health problems in their own geographic areas. Course Outcomes This assignment enables the student to meet the following course outcomes: 1. Define key terms in epidemiology, community health, and population-based research. 2. Compare study designs used for obtaining population health information from surveillance, observation, community, and control trial based research. 3. Identify appropriate outcome measures and study designs applicable to epidemiological subfields such as infectious disease, chronic disease, environmental exposures, reproductive health, and genetics. 4. Apply commonly used measures of health risk. 5. Examine current ethical/legal issues in epidemiology. 6. Identify important sources of epidemiological data. 7. Evaluate a public health problem in terms of magnitude, person, time, and place. Due Date Submit to Dropbox by 11:59 p.m. MT Sunday of Week 6 Total Points Possible: 200 CLICK HERE TO ORDER YOUR NR 503 Evaluation of Epidemiological Problem Paper Requirements This paper should clearly and comprehensively identify the disease or population health problem chosen. The problem must be an issue in your geographic area and a concern for the population you will serve upon graduation with your degree. The paper should be organized into the following sections: 1. Introduction with a clear presentation of the problem as well as significance and a scholarly overview of the paper. 2. Background of the disease including definition, description, signs and symptoms, and current incidence and/or prevalence statistics current state, local, and national statistics pertaining to the disease. (Include a table of incidence or prevalence rates by your geographic county, state, and national statistics.) 3. A review of current surveillance methods and any mandated reporting or methods for reporting the disease for providers. 4. Conduct descriptive epidemiology analysis of the disease including who is more frequently affected and characteristics of the population that might help in creating a prevention plan. Include costs (both financial and social) associated with the disease or problem. 5. Review how the disease is diagnosed, current national standards for screening or prevention, and pick one screening test and review its sensitivity, specificity, positive predictive value, cost and any current national guidelines for conducting which patients to conduct this test on. 6. Provide a brief plan of how you will address this epidemiological disease in your practice once you are finished with school. Provide three actions you will take along with how you will measure outcomes of your actions. 7. Conclude in a clear manner with a brief overview of key points of the entire disease, Preparing the Paper ? Page length: 7-10 pages, excluding title/cover page ? APA format 6th edition ? Include references when necessary. ? Include at least one table to present information somewhere in the paper. 

ADDITIONAL INFORMATION;

Define key terms in epidemiology, community health, and population-based research

Introduction

If you’re writing a blog post about epidemiology, community health, or population-based research, it can be helpful to know the definitions of key terms. This knowledge will help you understand how these studies fit into the bigger picture and explain their methods clearly to your readers.

Epidemiology:

Epidemiology is the study of the distribution and determinants of health-related states or events in specified populations and the application of this study to control of health problems. Epidemiologists use quantitative methods to assess risk factors for disease, including environmental exposures, lifestyle choices and sociodemographic characteristics. Epidemiology is a public health discipline that studies and analyzes the distribution, causes, and effects of health and disease conditions in populations.

Population-based research:

Population-based research is a type of epidemiological study that uses data from a defined population to investigate the health of that population. It is different from clinical research, which uses data from individuals who have been recruited for the purpose of a study.

In this type of research, researchers gather information about people who live in their geographic area or region and then analyze this information using statistical methods such as analysis of variance (ANOVA). These studies can be used to determine how well programs designed to address risk factors affect an entire community’s health status.

Community health:

Community health is the state of well-being in which all members of a community can realize their full potential. It is based on the health of the population, not just the individual; it is more than just absence of disease. Community health incorporates social, environmental and economic factors as well as individual factors that affect overall well-being.

The concept was first described by Jean Monnet in 1945 when he spoke about “living together” as opposed to living separately (see below).

Incidence rate:

The incidence rate is the number of new cases of a disease in a specified population during a specific period of time. It is also known as the incidence density or attack rate.

The incidence rate can be calculated by dividing the total number of cases by the size of that population:

In other words, if there were 10 people with measles and they all died within three days, then you would have an incidence density (ID) of 0.1 per person who dies which means that one person out 100 will die from this disease over three days.

Prevalence rate:

Prevalence rate: The number of people in a population who have a disease at a given time.

When you look at the prevalence rate, you’re counting how many people are affected by something. You can measure this by looking at the number of people who have been diagnosed with cancer or HIV/AIDS or any other condition over time and seeing how many new cases were reported each year or month.

Case-control study:

A case-control study is a type of observational study in which two existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute. Case-control studies are often less expensive than cohort studies, but they are more likely to yield biased results.

Case-control studies can be divided into two main types: nested case–control and unselected controls (or unmatched). Nested case–control designs involve selecting subjects from an existing group that has already been studied, then comparing these subjects with those from another group selected from another population at large (a different geographic location or socioeconomic status) who have not been previously examined. Unselected control groups (nonmatched) use individuals without similar exposures or characteristics as cases so that changes in exposure variables cannot be attributed directly to any treatment effect seen among cases; this method is also known as “matched” controls because matched pairs were used during data collection procedures instead of randomly selecting new participants after each interview session ends.”

Cohort study:

Cohort studies are observational studies that follow people over time. They’re used to investigate the effects of certain exposures or interventions on health, like smoking, diet and exercise.

Examples include:

• The Framingham Heart Study has followed more than 5,000 people since 1948 and found that cholesterol levels can be predicted by age alone (without any other information).

• The Nurses’ Health Study II has tracked approximately 120,000 female nurses since 1976 in order to track their health risks over time.

Clinical trial or intervention trial/experiment/efficacy study:

A clinical trial is a research study in humans that is designed to test the safety and effectiveness of new drugs, treatments, devices or procedures. Clinical trials are often used to study other aspects of health, such as how people react to different stress levels or how well exercise programs work.

Clinical trials may involve testing new medications or procedures against existing ones; they may also try out new methods for treating disease or injury; they may compare two different approaches that are being used at present (e.g., giving medicine by mouth versus intravenously); or even whether an intervention works better than no treatment at all! Research has shown that getting regular checkups helps prevent some types of cancer but there’s still much more research needed before doctors can say for sure what would be best for each individual case that’s why you have to do your own homework first so you can make informed decisions later on down the line!

Mortality rate

When you hear the word “mortality rate,” what do you think? You probably have a mental picture of a person dying. The mortality rate is the number of deaths per year in a population; this can be expressed as “deaths per 1000.” For example, if there are 100 people in your community and one dies every year (5/1000), then your community has an annual mortality rate of 5%.

The term “mortality rate” can also refer to its ratio form: 5/1000 = 0.05 = 5%. In other words, if there were twice as many people living in your area than did not die last year and these were all newborns who survived their first year there would still only be five additional deaths between them and those who had died previously!

it’s important to know the definitions of terms when writing a blog post about them.

It’s important to know the definitions of terms when writing a blog post about them. If you don’t know what something means, how can you explain it?

In this case, I’m talking about epidemiology and community health. Epidemiology is when researchers collect information about disease outbreaks and use that data to determine causes, risk factors, and prevention strategies (for example: “What causes cancer?”). Community health is related but not exactly the same as epidemiology; instead of focusing on diseases or problems with individual people’s bodies or minds like in epidemiology it focuses on populations like cities or counties instead of individuals (and sometimes even groups within those populations).

Conclusion

Epidemiology is the study of diseases and other health outcomes. Epidemiologists are researchers who study health conditions and their causes. Epidemiological methods include gathering information from studies, conducting surveys, analyzing data, and applying research findings to improve policies on public health issues. Epidemiologists also serve as primary clinical care providers for specific populations in need of their expertise or services (e.g., children or pregnant women).