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MAKER UNIVERSITY PREVALENCE AND FACTORS ASSOCIATED WITH NONRESISTANCE AND MULTIDRUG RESISTANCE AMONG NEW TUBERCULOSIS PATIENTS IN KAMPALA. BY KAREN MANI DAVID, BPH ARM (MAK) A dissertation submitted
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How to fill out prevalence and factors associated

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Prevalence is the measure of the proportion of a particular disease or condition in a population, while factors associated refer to the variables and characteristics that are linked to the occurrence or development of the disease or condition.

To fill out the prevalence and factors associated, follow these steps:

01
Determine the population: Start by identifying the population you are studying. This could be a specific demographic group, such as adults over 65 or children between 5-10 years old.
02
Collect data: Gather relevant information about the disease or condition, including the number of cases or individuals affected, within the chosen population. This can be done through surveys, medical records, or existing databases.
03
Calculate prevalence: Use the collected data to calculate the prevalence of the disease or condition within the population. This involves dividing the number of cases by the total population size and multiplying by 100 to express it as a percentage.
04
Identify associated factors: Analyze the collected data to determine the factors that are associated with the disease or condition. This can be done through statistical analysis, such as regression modeling or chi-square tests, to identify variables that are significantly related to the occurrence of the disease or condition.
05
Document findings: Present the calculated prevalence and identified associated factors in a clear and concise manner. This could be done through tables, graphs, or written reports, depending on the format required.
Who needs prevalence and factors associated? Researchers, healthcare professionals, policymakers, and public health organizations often require prevalence and factors associated data to understand the burden of a disease or condition, identify at-risk populations, and develop appropriate prevention and intervention strategies.
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Prevalence is the proportion of a population that has a specific characteristic or condition at a particular time. Factors associated are variables that are linked or correlated with the prevalence of the condition.
Healthcare professionals, researchers, and organizations are typically required to file prevalence and factors associated data.
To fill out prevalence and factors associated, data must be collected through surveys, interviews, or medical records. This information is then analyzed and reported.
The purpose of prevalence and factors associated data is to understand the frequency of a condition within a population and to identify the factors that may be influencing its prevalence.
Information such as the total number of cases, demographic characteristics, risk factors, and any trends over time must be reported on prevalence and factors associated.
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