Modelling variability in lymphatic filariasis: macrofilarial dynamics in the Brugia pahangi

Modelling variability in lymphatic filariasis: macrofilarial dynamics in the Brugia pahangi–cat model

Published:1998-01-22 Issue:1391 Volume:265 Page:155-165
ISSN:0962-8452
Container-title:Proceedings of the Royal Society of London. Series B: Biological Sciences
language:en
Short-container-title:Proc. R. Soc. Lond. B

Author:

Michael E.¹,Grenfell B. T.²,Isham V. S.³,Denham D. A.⁴,Bundy D. A. P.¹

Affiliation:

1. Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK

2. Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK

3. Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK

4. The London School of Hygiene andTropical Medicine, Keppel Street, London WC1E 7HT, UK

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.1998.0277

Reference56 articles.

1. Live Adult Worms Detected by Ultrasonography in Human Bancroftian Filariasis

2. Anderson R. M. & Gordon D. 1982 Processes in£uencing the distribution of parasite numbers within host populations with special emphasis on parasite-induced host mortalities. Parasitology 85 373^378.

3. Anderson R. M. & May R. M. 1991 Infectious diseases of humans: dynamics and control. Oxford University Press.

4. Density-dependent survival in populations of Ostertagia ostertagi

5. Baldwin C. I. de Medeiros F. & Denham D. A. 1993 IgE responses in cats infected with Brugia pahangi. Para. Immunol. 15 291^296.

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sensitivity analysis and parameters estimation for the transmission of lymphatic filariasis;Heliyon;2023-09

2. Modeling the Parasitic Filariasis Spread by Mosquito in Periodic Environment;Computational and Mathematical Methods in Medicine;2017

3. Optimal Bayesian Experimental Design for Models with Intractable Likelihoods Using Indirect Inference Applied to Biological Process Models;Bayesian Analysis;2016-09-01

4. Bayesian Indirect Inference Using a Parametric Auxiliary Model;Statistical Science;2015-02-01

5. Pathogen Growth in Insect Hosts: Inferring the Importance of Different Mechanisms Using Stochastic Models and Response-Time Data;The American Naturalist;2014-09