The analysis of epidemics without recovery often implies the inclusion of long-term survivors in the modeling process. Such individuals are characterized by a peculiarly long sojourn in a state of infection without any sign of progression towards the subsequent evolutionary state of the disease. A parametric modeling of their presence in an epidemic involves non-Markov staging of the infection process and of its development. In the present work, an approach involving survivor function is proposed, along with some remarks on epidemiological inicators and some numerical and graphical examples of its application.

Long-Term Survivors in an Epidemic without Recovery / Schinaia, Giuseppe. - In: STATISTICA. - ISSN 0390-590X. - STAMPA. - 64-3:(2004), pp. 495-504.

Long-Term Survivors in an Epidemic without Recovery

SCHINAIA, Giuseppe
2004

Abstract

The analysis of epidemics without recovery often implies the inclusion of long-term survivors in the modeling process. Such individuals are characterized by a peculiarly long sojourn in a state of infection without any sign of progression towards the subsequent evolutionary state of the disease. A parametric modeling of their presence in an epidemic involves non-Markov staging of the infection process and of its development. In the present work, an approach involving survivor function is proposed, along with some remarks on epidemiological inicators and some numerical and graphical examples of its application.
2004
survival analysis; epidemics; simulation
01 Pubblicazione su rivista::01a Articolo in rivista
Long-Term Survivors in an Epidemic without Recovery / Schinaia, Giuseppe. - In: STATISTICA. - ISSN 0390-590X. - STAMPA. - 64-3:(2004), pp. 495-504.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/126990
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