Infection Prevention and Control Case Study Example | Topics and Well Written Essays - 1500 words

Infection Prevention and Control - Case Study Example 3) Collected data indicates the propagation. The epidemic curve shows continuous exposure that is much pronounced after the lunch hour and ends the following day according to the collected data. According to the determined incubation period, the exposure is prolonged thus other victims display symptoms at a later time compared to the others. Complaint of the obvious symptoms of infection appears in the afternoon and evening. However, further analysis of the situation is vital to draw the precise conclusion about the causative agent. 4) The case presented by the data qualifies to be an epidemic. It is a condition that involves a large group of people who are subjected to the pathological agent. Noticeable symptoms among affected individuals indicate they are suffering from the same thing or rather infected by bacteria or rather an agent. Every individual in the camp had the same complaints that clearly indicate the source of the problem is among the food consumed. Furthermore, it occurs within a short period and affects almost the whole population in an unusual way thus qualifies to be termed as an epidemic. According to statistics on data relating to the whole population, there is no connection between gender and illness. The high percentage of male individuals showing symptoms of the illness is due to the general high population of male soldiers compared to the female soldiers. Also, the odds ratio adds emphasis on the proportionality aspect of the data. A high population of the men means that they were exposed more to the causative agent compared to the females thus the high number of male individuals showing high levels of illness. Statistics on age distribution and infection indicate that there is no connection between illness and age of the individuals. People aged between 19 and 23 form the highest percentage of individuals. Therefore, exposure rate of the young individuals is high compared to the other age groups. Further proof of the preceded conclusion is taking a look at the age group 29-32.