- Tytuł:
- Addressing the problem of lack of representativeness on syndromic surveillance schemes
- Autorzy:
-
Natário, Isabel
Lucília Carvalho, M. - Powiązania:
- https://bibliotekanauki.pl/articles/729974.pdf
- Data publikacji:
- 2009
- Wydawca:
- Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
- Tematy:
-
syndromic surveillance
state space models
importance sampling - Opis:
-
A major concern with some contagious diseases has recently led to an enormous effort to monitor population health status by several different means.
This work presents a modeling approach to overcome this poor data characteristic, allowing its use for the estimation of the true population disease picture. We use a state space model, where we run two processes in parallel - a process describing the non observable states of the population concerning the presence/absence of disease, and an observational process resulting from the monitoring.
We then use resampling importance sampling estimation techniques, in a Bayesian framework, which enables us to estimate the population states and, thus, the corresponding disease incidence curves. - Źródło:
-
Discussiones Mathematicae Probability and Statistics; 2009, 29, 2; 169-183
1509-9423 - Pojawia się w:
- Discussiones Mathematicae Probability and Statistics
- Dostawca treści:
- Biblioteka Nauki
Artykuł