Difference between revisions of "Analysis by person characteristics"
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| − | Data on case characteristics, when available, are used to compare [[incidence]] or [[rates]] between various groups of cases, for example, between different ages, between sexes, or between different professions. This is useful for detecting outbreaks that predominantly affect a particular group. The result of these comparisons can be expressed as a [[relative risk]] (RR) and its confidence interval. | + | Data on case characteristics, when available, are used to compare [[Incidence rate|incidence]] or [[Risks and Rates|rates]] between various groups of cases, for example, between different ages, between sexes, or between different professions. This is useful for detecting outbreaks that predominantly affect a particular group. The result of these comparisons can be expressed as a [[Measures of association|relative risk]] (RR) and its confidence interval. |
Case-fatality (CF) is often a helpful indicator to compute when cases and deaths are notified. An increase in the case fatality may alert to an increase in the severity of the disease corresponding to a specific germ (e.g., cholera when diarrhea is under surveillance as a syndrome). | Case-fatality (CF) is often a helpful indicator to compute when cases and deaths are notified. An increase in the case fatality may alert to an increase in the severity of the disease corresponding to a specific germ (e.g., cholera when diarrhea is under surveillance as a syndrome). | ||
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* Vladimir Prikazsky | * Vladimir Prikazsky | ||
| − | [[Category: | + | [[Category:Descriptive data analysis]] |
Latest revision as of 19:37, 29 March 2023
Data on case characteristics, when available, are used to compare incidence or rates between various groups of cases, for example, between different ages, between sexes, or between different professions. This is useful for detecting outbreaks that predominantly affect a particular group. The result of these comparisons can be expressed as a relative risk (RR) and its confidence interval.
Case-fatality (CF) is often a helpful indicator to compute when cases and deaths are notified. An increase in the case fatality may alert to an increase in the severity of the disease corresponding to a specific germ (e.g., cholera when diarrhea is under surveillance as a syndrome).
Additional information on case characteristics, such as vaccine status, is not collected routinely since it is rarely necessary for triggering a public health alert. In most surveillance systems, this type of analysis is only performed at the "response" stage (investigation) and only on an ad hoc basis.
Analysis of case characteristics may be subject to biases as notified cases may not be representative of all cases in the population:
Females and young children may be overrepresented since they are more likely than adult men to seek medical care in some settings, while in other male cases may be more likely to be attending healthcare facilities Milder cases of a condition may be underrepresented as such patients do not seek medical attention These biases may affect the results of the analysis. Results must therefore be interpreted in the light of potential biases.
ECDC Editors 2007
Denis Coulombier
Original FEM Authors 2007
- Christophe Paquet
- Arnold Tarantola
- Philippe Quenel
- Nada Ghosn
FEM Contributors 2007-2016
- Denis Coulombier
- Julius Weinberg
- Vladimir Prikazsky
