Estimating the baseline and threshold for the incidence of diseases with seasonal and long-term trends
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F15%3A00011084" target="_blank" >RIV/75010330:_____/15:00011084 - isvavai.cz</a>
Result on the web
<a href="http://apps.szu.cz/svi/cejph/show_en.php?kat=archiv/2015-4-12" target="_blank" >http://apps.szu.cz/svi/cejph/show_en.php?kat=archiv/2015-4-12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21101/cejph.a4392" target="_blank" >10.21101/cejph.a4392</a>
Alternative languages
Result language
angličtina
Original language name
Estimating the baseline and threshold for the incidence of diseases with seasonal and long-term trends
Original language description
In epidemiology, it is very important to estimate the baseline incidence of infectious diseases. From this baseline, the epidemic threshold can be derived as a clue to recognize an excess incidence, i.e. to detect an epidemic by mathematical methods. Nevertheless, a problem is posed by the fact that the incidence may vary during the year, as a rule, in a season dependent manner. To model the incidence of a disease, some authors use seasonal trend models. For instance, Serfling applies the sine function with a phase shift and amplitude. A similar model based on the analysis of variance with kernel smoothing and Serflingĺs higher order models, i.e. models composed of multiple sine-cosine function pairs with a variably long period, will be presented below. Serflingĺs model uses a long-term linear trend, but the linearity may not be always acceptable. Therefore, a more complex, long-term trend estimation will also be addressed, using different smoothing methods. In addition, the issue of the time unit (mostly a week) used in describing the incidence is discussed.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FN - Epidemiology, infection diseases and clinical immunology
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Central European Journal of Public Health
ISSN
1210-7778
e-ISSN
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Volume of the periodical
23
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
352-359
UT code for WoS article
000370311200012
EID of the result in the Scopus database
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