All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

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

Result continuities

  • Project

  • 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

  • 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