Literature DB >> 3696772

A mathematical model of the population biology of Ostertagia ostertagi in calves and yearlings.

B T Grenfell1, G Smith, R M Anderson.   

Abstract

A mathematical model of the population biology of Ostertagia ostertagi is described. The model assumes that the natural control and regulation of parasite numbers is mediated by four processes: the effect of climate on the development and survival of the free-living stages; changes in the rate of establishment of the infective larvae, and density-dependent variations in parasite survival and fecundity. The model is used to compare the course of the infection in two groups of calves. One group is assumed to have been reared under conditions typical of S.E. England and the other under conditions typical of Louisiana, USA. The more general behaviour of the model is discussed in the context of sensitivity analysis. The model is an excellent mimic of the epidemiology of bovine ostertagiasis. It can be used as a simple screening procedure to help determine which of many possible anthelmintic control strategies should be selected for more detailed examination in the field, and it provides a theoretical framework within which ideas concerning the epidemiology of parasitic gastroenteritis can be assessed and refined.

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Year:  1987        PMID: 3696772     DOI: 10.1017/s0031182000057826

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


  9 in total

1.  Stochastic and spatial dynamics of nematode parasites in farmed ruminants.

Authors:  Stephen J Cornell; Valerie S Isham; Bryan T Grenfell
Journal:  Proc Biol Sci       Date:  2004-06-22       Impact factor: 5.349

2.  Recovery of strongylid third-stage larvae from herbage samples: standardisation of a laboratory method and its application in the field.

Authors:  Janina Demeler; Friederike Knapp; Giuliano Mario Corte; Oliver Katzschke; Katharina Steininger; Georg von Samson-Himmelstjerna
Journal:  Parasitol Res       Date:  2011-09-07       Impact factor: 2.289

3.  Threshold quantities for helminth infections.

Authors:  J A Heesterbeek; M G Roberts
Journal:  J Math Biol       Date:  1995       Impact factor: 2.259

4.  Modelling variability in lymphatic filariasis: macrofilarial dynamics in the Brugia pahangi--cat model.

Authors:  E Michael; B T Grenfell; V S Isham; D A Denham; D A Bundy
Journal:  Proc Biol Sci       Date:  1998-01-22       Impact factor: 5.349

5.  Divergent water requirements partition exposure risk to parasites in wild equids.

Authors:  Kaia J Tombak; Laurel A Easterling; Lindsay Martinez; Monica S Seng; Liana F Wait; Daniel I Rubenstein
Journal:  Ecol Evol       Date:  2022-03-14       Impact factor: 2.912

6.  Behaviour is more important than thermal performance for an Arctic host-parasite system under climate change.

Authors:  Stephanie J Peacock; Susan J Kutz; Bryanne M Hoar; Péter K Molnár
Journal:  R Soc Open Sci       Date:  2022-08-24       Impact factor: 3.653

Review 7.  Exploiting parallels between livestock and wildlife: Predicting the impact of climate change on gastrointestinal nematodes in ruminants.

Authors:  Hannah Rose; Bryanne Hoar; Susan J Kutz; Eric R Morgan
Journal:  Int J Parasitol Parasites Wildl       Date:  2014-02-15       Impact factor: 2.674

8.  A simulation model to investigate interactions between first season grazing calves and Ostertagia ostertagi.

Authors:  Zoe Berk; Stephen C Bishop; Andrew B Forbes; Ilias Kyriazakis
Journal:  Vet Parasitol       Date:  2016-05-07       Impact factor: 2.738

9.  A stochastic model to investigate the effects of control strategies on calves exposed to Ostertagia ostertagi.

Authors:  Zoe Berk; Yan C S M Laurenson; Andrew B Forbes; Ilias Kyriazakis
Journal:  Parasitology       Date:  2016-08-30       Impact factor: 3.234

  9 in total

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