Literature DB >> 17078973

Tracking the dynamics of pathogen interactions: modeling ecological and immune-mediated processes in a two-pathogen single-host system.

Daniel A Vasco1, Helen J Wearing, Pejman Rohani.   

Abstract

Traditionally, epidemiological studies have focused on understanding the dynamics of a single pathogen, assuming no interactions with other pathogens. Recently, a large body of work has begun to explore the effects of immune-mediated interactions, arising from cross-immunity and antibody-dependent enhancement, between related pathogen strains. In addition, ecological processes such as a temporary period of convalescence and pathogen-induced mortality have led to the concept of ecological interference between unrelated diseases. There remains, however, the need for a systematic study of both immunological and ecological processes within a single framework. In this paper, we develop a general two-pathogen single-host model of pathogen interactions that simultaneously incorporates these mechanisms. We are then able to mechanistically explore how immunoecological processes mediate interactions between diseases for a pool of susceptible individuals. We show that the precise nature of the interaction can induce either competitive or cooperative associations between pathogens. Understanding the dynamic implications of multi-pathogen associations has potentially important public health consequences. Such a framework may be especially helpful in disentangling the effects of partially cross-immunizing infections that affect populations with a pre-disposition towards immunosuppression such as children and the elderly.

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Year:  2006        PMID: 17078973     DOI: 10.1016/j.jtbi.2006.08.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  15 in total

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7.  Transmission ecology of canine parvovirus in a multi-host, multi-pathogen system.

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Journal:  Proc Biol Sci       Date:  2019-03-27       Impact factor: 5.349

8.  Inference for ecological dynamical systems: a case study of two endemic diseases.

Authors:  Daniel A Vasco
Journal:  Comput Math Methods Med       Date:  2012-03-26       Impact factor: 2.238

9.  Statistical inference for multi-pathogen systems.

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Journal:  PLoS Comput Biol       Date:  2011-08-18       Impact factor: 4.475

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