Literature DB >> 12613767

On the interpretation of age-intensity profiles and dispersion patterns in parasitological surveys.

H P Duerr1, K Dietz, M Eichner.   

Abstract

The present paper describes how age-intensity profiles of macroparasite burdens are affected by processes underlying the distribution of the parasite numbers in host populations. In a comparative way, we consider the following 6 processes: (i) age-dependent exposure, (ii) parasite-induced host mortality, (iii) heterogeneity within, the host population, (iv) clumped infection, (v) density-dependent parasite mortality and (vi) density-dependent parasite establishment. For each of these processes, we show typical patterns in the age-intensity profile and provide, if possible, explicit and simple solutions for the age-dependent mean parasite burden and the corresponding dispersion patterns. Emphasis is given to density-dependent parasite establishment and to age-intensity profiles resulting from the superposition of different processes. By means of 2 examples we show that the interpretation of observed patterns can be ambiguous if more than 1 process takes place. These findings underline that age-intensity profiles should be interpreted on the basis of available a priori knowledge about the processes assumed to be involved. For purposes of testing different hypotheses, a simulation program is provided with which discrepancies between model prediction and data can be explored.

Entities:  

Mesh:

Year:  2003        PMID: 12613767     DOI: 10.1017/s0031182002002561

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  17 in total

1.  Protective immunity to Schistosoma haematobium infection is primarily an anti-fecundity response stimulated by the death of adult worms.

Authors:  Kate M Mitchell; Francisca Mutapi; Nicholas J Savill; Mark E J Woolhouse
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-30       Impact factor: 11.205

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

Authors:  Mark Q Wilber; Sara B Weinstein; Cheryl J Briggs
Journal:  Int J Parasitol       Date:  2015-10-16       Impact factor: 3.981

3.  Human infection patterns and heterogeneous exposure in river blindness.

Authors:  João A N Filipe; Michel Boussinesq; Alfons Renz; Richard C Collins; Sarai Vivas-Martinez; María-Eugenia Grillet; Mark P Little; María-Gloria Basáñez
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-10       Impact factor: 11.205

4.  Integral Projection Models for host-parasite systems with an application to amphibian chytrid fungus.

Authors:  Mark Q Wilber; Kate E Langwig; A Marm Kilpatrick; Hamish I McCallum; Cheryl J Briggs
Journal:  Methods Ecol Evol       Date:  2016-04-28       Impact factor: 7.781

5.  Epidemiology of Cryptosporidium molnari in Spanish gilthead sea bream (Sparus aurata L.) and European sea bass (Dicentrarchus labrax L.) cultures: from hatchery to market size.

Authors:  A Sitjà-Bobadilla; F Padrós; C Aguilera; P Alvarez-Pellitero
Journal:  Appl Environ Microbiol       Date:  2005-01       Impact factor: 4.792

6.  Explaining observed infection and antibody age-profiles in populations with urogenital schistosomiasis.

Authors:  Kate M Mitchell; Francisca Mutapi; Nicholas J Savill; Mark E J Woolhouse
Journal:  PLoS Comput Biol       Date:  2011-10-20       Impact factor: 4.475

7.  Does the early frog catch the worm? Disentangling potential drivers of a parasite age-intensity relationship in tadpoles.

Authors:  Thomas R Raffel; James O Lloyd-Smith; Stanley K Sessions; Peter J Hudson; Jason R Rohr
Journal:  Oecologia       Date:  2010-09-18       Impact factor: 3.225

8.  Size-asymmetric competition among snails disrupts production of human-infectious Schistosoma mansoni cercariae.

Authors:  David J Civitello; Rachel B Hartman
Journal:  Ecology       Date:  2021-06-03       Impact factor: 6.431

9.  Advances and challenges in predicting the impact of lymphatic filariasis elimination programmes by mathematical modelling.

Authors:  Wilma A Stolk; Sake J de Vlas; J Dik F Habbema
Journal:  Filaria J       Date:  2006-03-28

10.  Mathematical models for lymphatic filariasis transmission and control: Challenges and prospects.

Authors:  Subramanian Swaminathan; Pani P Subash; Ravi Rengachari; Krishnamoorthy Kaliannagounder; Das K Pradeep
Journal:  Parasit Vectors       Date:  2008-02-12       Impact factor: 3.876

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.