Literature DB >> 26475963

Detecting and quantifying parasite-induced host mortality from intensity data: method comparisons and limitations.

Mark Q Wilber1, Sara B Weinstein2, Cheryl J Briggs2.   

Abstract

Parasites can significantly impact animal populations by changing host behaviour, reproduction and survival. Detecting and quantifying these impacts is critical for understanding disease dynamics and managing wild animal populations. However, for wild hosts infected with macroparasites, it is notoriously difficult to quantify the fatal parasite load and number of animals that have died due to disease. When ethical or logistical constraints prohibit experimental determination of these values, examination of parasite intensity and distribution data may offer an alternative solution. In this study we introduce a novel method for using intensity data to detect and quantify parasite-induced mortality in wildlife populations. We use simulations to show that this method is more reliable than previously proposed methods while providing quantitative estimates of parasite-induced mortality from empirical data that are consistent with previously published qualitative estimates. However this method, and all techniques that estimate parasite-induced mortality from intensity data alone, have several important assumptions that must be scrutinised before applying those to real-world data. Given that these assumptions are met, our method is a new exploratory tool that can help inform more rigorous studies of parasite-induced host mortality.
Copyright © 2015 Australian Society for Parasitology Inc. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Crofton Method; Host survival function; Lethal dose; Negative binomial distribution; Parasite aggregation

Mesh:

Year:  2015        PMID: 26475963      PMCID: PMC4888599          DOI: 10.1016/j.ijpara.2015.08.009

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


  17 in total

1.  Epidemiology of honey bee parasites.

Authors:  L A Royce; P A Rossignol
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2.  A mathematical model of rinderpest infection in cattle populations.

Authors:  A Tillé; C Lefèvre; P P Pastoret; E Thiry
Journal:  Epidemiol Infect       Date:  1991-10       Impact factor: 2.451

3.  Simple model for tuberculosis in cattle and badgers.

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4.  Patterns of macroparasite abundance and aggregation in wildlife populations: a quantitative review.

Authors:  D J Shaw; A P Dobson
Journal:  Parasitology       Date:  1995       Impact factor: 3.234

5.  Processes influencing the distribution of parasite numbers within host populations with special emphasis on parasite-induced host mortalities.

Authors:  R M Anderson; D M Gordon
Journal:  Parasitology       Date:  1982-10       Impact factor: 3.234

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  8 in total

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