Review papers : Statistical models for estimating prevalence and incidence of parasitic diseases
| Autor: | G.J. van Oortmarssen, J. D. F. Habbema, S. J. De Vlas, Njd Nagelkerke |
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| Rok vydání: | 1993 |
| Předmět: |
Statistics and Probability
Estimation Epidemiology business.industry Incidence (epidemiology) Data interpretation Statistical model 01 natural sciences 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Health Information Management Sexual behavior Environmental health Statistics Medicine 030212 general & internal medicine 0101 mathematics business |
| Zdroj: | Statistical Methods in Medical Research. 2:3-21 |
| ISSN: | 1477-0334 0962-2802 |
| Popis: | The estimation of prevalence and incidence of parasitic infections is considered. As the detectability of such infections is not 100% and may furthermore depend on their intensity, statistical methods are often required to arrive at meaningful results. It appears to be essential to distinguish between parasities that multiply within the (human) host and those that do not. An overview of some models discussed in the literature is presented. These models can indeed be used in assessing detectability of infection, and they indicate that observations may lead to considerable misinterpretation of 'true' prevalences and incidences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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