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Population At Risk Essay

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Define the term population at risk and indicate which of the elementary students are not at risk
According to OECD Statistics (2001), The population at risk means a population that is exposed to the occurrence of a vital event. For example, the total population in the case of deaths, the legally married population in the case of divorces and so on. In the case of Fallsburg Elementary school, the population risk is the pupils that attend the school.
Pertussis, also known as whooping cough, is a bacterial disease. At first the symptoms appear as a common cold, that over the time of a couple weeks will turn into severe coughing fits. It eventually develops into a high-pitched whooping sound. While having whooping cough It is common for a person …show more content…

All the children were at risk for catching whooping cough, even the 25 that received their immunization. The 25 are just at less risk of catching the disease. Not all immunizations are 100% effective. Even though it is not very common, children that receive immunizations are still able to get sick. According to the CDC (2016), up to 5% of children getting vaccinated will not be able to develop a strong enough immunity to fight off the disease.
Also describe the difference between incidence and prevalence
It is important to define the incidence and prevalence in the consideration of vaccination of children. Incidence and prevalence show how a certain disease is affecting a population. Incidence is a measure of disease that allows us to determine a person's probability of being diagnosed with a disease during a given time (1999). Incidence is loosely defined as the number of emerging cases. It tracks a group of people from non-disease to disease infected. An example of incidence is, “over the course of one year, five women are diagnosed with breast cancer, out of a total female study population of 200 (who do not have breast cancer at the beginning of the study period), then we would say the incidence of breast cancer in this population was 0.025. Or (2,500 per 100,000 women years of study)”.

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