eprintid: 14135
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/01/41/35
datestamp: 2016-12-14 09:46:06
lastmod: 2021-08-27 17:28:15
status_changed: 2016-12-14 09:46:06
type: article
metadata_visibility: show
item_issues_count: 3
creators_name: Vaupel, J.W.
creators_name: Yashin, A.I.
creators_name: Manton, K.G.
creators_id: AL1336
creators_id: AL1394
title: Debilitation's aftermath: Stochastic process models of mortality
ispublished: pub
divisions: prog_opt
keywords: debilitation, mortality, selection, aging, differential equation
abstract: A stochastic differential equation model is developed to clarify the interaction of debilitation, recuperation, selection and aging. The model yields various insights about lingering mortality consequences of disasters such as wars, famines and epidemics that may weaken the survivors. A key result is that debilitation and selection are interdependent: debilitation that increases population heterogeneity will result in subsequent selection; selection, by altering the distribution of population heterogeneity, will influence the impact of debilitating events.
date: 1988
date_type: published
publisher: Taylor and Francis
id_number: doi:10.1080/08898488809525259
creators_browse_id: 2478
creators_browse_id: 2535
full_text_status: none
publication: Mathematical Population Studies
volume: 1
number: 1
pagerange: 21-48
refereed: TRUE
issn: 0889-8480
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/article
citation:   Vaupel, J.W. <https://pure.iiasa.ac.at/view/iiasa/2478.html>, Yashin, A.I. <https://pure.iiasa.ac.at/view/iiasa/2535.html>, & Manton, K.G.  (1988).  Debilitation's aftermath: Stochastic process models of mortality.   Mathematical Population Studies 1 (1) 21-48. 10.1080/08898488809525259 <https://doi.org/10.1080/08898488809525259>.