Disease Prevalence
Disease Prevalence - Related Videos
01:08
Prevalence and Incidence
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2025
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions. Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
07:35
Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
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Cited by 4 •
2020
The presented diagnostic FL-DNA kit is a time-saving and user-friendly method to determine the reliable probability of the presence of colorectal cancer lesions.
06:29
Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19
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2022
The present protocol describes the cross-sectional research performed on 40 healthy subjects between the ages of 20 and 45 to assess the prevalence of dry eye syndrome (DES) during COVID-19. The OSDI survey evaluated DES, and the advanced ophthalmic systems (AOS) software was used to assess limbal redness.
03:20
Measuring Constipation in a Drosophila Model of Parkinson's Disease
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Cited by 2 •
2023
This protocol presents an assay for modeling constipation in an alpha-synuclein based Drosophila model of Parkinson's disease.
10:47
An Overview of Genetics and Disease
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2023
Many human diseases are associated with mutations or variations in genetic sequences. Some of these genetic variants are heritable, passed down from generation to generation, while others arise sporadically during an organism’s life and cause diseases such as cancer. Researchers are trying to identify and characterize these genetic alterations in the hopes of improving diagnosis and therapeutic options for patients.In this video, we will examine the history of genetic disease research, and...
FAQs
The denominator determines which population the estimate describes. Researchers must relate existing cases to the population at risk during the specified measurement time or period, so the result represents disease burden within that population. Using the appropriate denominator also supports meaningful comparisons among populations, regions, and time periods.
The choice depends on the time frame of the question. Point prevalence provides a snapshot for a particular moment, whereas period prevalence summarizes cases observed across an interval. Selecting the matching measure helps researchers describe whether they are assessing burden at one time or across a defined period.
Confidence intervals communicate uncertainty around a prevalence estimate rather than presenting the estimate as perfectly exact. They help readers interpret the statistical precision of the reported result and provide context when comparing disease patterns across populations, regions, or time. Reporting them therefore strengthens the interpretation of prevalence findings.
Researchers can compare prevalence estimates across populations or regions to identify differences in the observed burden of a disease or health condition. Examining estimates over time can also show changing patterns. These comparisons provide population-level information that supports statistical description and helps direct attention toward differences requiring further assessment.
A calculation requires the number of existing cases, the total population at risk, and a clearly specified time point or period. The analyst relates the case count to that population and reports the resulting estimate with its relevant time frame. This structure keeps the measurement tied to a defined population and observation window.
Prevalence estimates indicate the amount of disease or health-condition burden present in a population. Health planners can use that information to support decisions about healthcare needs and resource allocation. Because estimates can be examined across populations, regions, and time, they also help planning reflect differences in observed population health.