Literature DB >> 17191075

The disease triangle: pathogens, the environment and society.

Karen-Beth G Scholthof1.   

Abstract

The primary means to define any disease is by naming a pathogen or agent that negatively affects the health of the host organism. Another assumed, but often overlooked, determinant of disease is the environment, which includes deleterious physical and social effects on mankind. The disease triangle is a conceptual model that shows the interactions between the environment, the host and an infectious (or abiotic) agent. This model can be used to predict epidemiological outcomes in plant health and public health, both in local and global communities. Here, the Irish potato famine of the mid-nineteenth century is used as an example to show how the disease triangle, originally devised to interpret plant disease outcomes, can be applied to public health. In parallel, malaria is used to discuss the role of the environment in disease transmission and control. In both examples, the disease triangle is used as a tool to discuss parameters that influence socioeconomic outcomes as a result of host-pathogen interactions involving plants and humans.

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Year:  2006        PMID: 17191075     DOI: 10.1038/nrmicro1596

Source DB:  PubMed          Journal:  Nat Rev Microbiol        ISSN: 1740-1526            Impact factor:   60.633


  62 in total

1.  Induction and suppression of RNA silencing: insights from plant viral infections--a BARD workshop report.

Authors:  Karen-Beth G Scholthof; Herman B Scholthof
Journal:  Plant Mol Biol       Date:  2010-12-22       Impact factor: 4.076

2.  Complex history of the amphibian-killing chytrid fungus revealed with genome resequencing data.

Authors:  Erica Bree Rosenblum; Timothy Y James; Kelly R Zamudio; Thomas J Poorten; Dan Ilut; David Rodriguez; Jonathan M Eastman; Katy Richards-Hrdlicka; Suzanne Joneson; Thomas S Jenkinson; Joyce E Longcore; Gabriela Parra Olea; Luís Felipe Toledo; Maria Luz Arellano; Edgar M Medina; Silvia Restrepo; Sandra Victoria Flechas; Lee Berger; Cheryl J Briggs; Jason E Stajich
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-06       Impact factor: 11.205

Review 3.  Evaluation of conceptual frameworks applicable to the study of isolation precautions effectiveness.

Authors:  Catherine Crawford Cohen; Jingjing Shang
Journal:  J Adv Nurs       Date:  2015-07-14       Impact factor: 3.187

4.  Bacterial seed endophyte shapes disease resistance in rice.

Authors:  Haruna Matsumoto; Xiaoyan Fan; Yue Wang; Peter Kusstatscher; Jie Duan; Sanling Wu; Sunlu Chen; Kun Qiao; Yiling Wang; Bin Ma; Guonian Zhu; Yasuyuki Hashidoko; Gabriele Berg; Tomislav Cernava; Mengcen Wang
Journal:  Nat Plants       Date:  2021-01-04       Impact factor: 15.793

5.  Functional variation at an expressed MHC class IIβ locus associates with Ranavirus infection intensity in larval anuran populations.

Authors:  Anna E Savage; Carly R Muletz-Wolz; Evan H Campbell Grant; Robert C Fleischer; Kevin P Mulder
Journal:  Immunogenetics       Date:  2019-02-13       Impact factor: 2.846

6.  Borrelia afzelii alters reproductive success in a rodent host.

Authors:  Claire Cayol; Anna Giermek; Andrea Gomez-Chamorro; Jukka Hytönen; Eva Riikka Kallio; Tapio Mappes; Jemiina Salo; Maarten Jeroen Voordouw; Esa Koskela
Journal:  Proc Biol Sci       Date:  2018-08-01       Impact factor: 5.349

7.  Host persistence or extinction from emerging infectious disease: insights from white-nose syndrome in endemic and invading regions.

Authors:  Joseph R Hoyt; Kate E Langwig; Keping Sun; Guanjun Lu; Katy L Parise; Tinglei Jiang; Winifred F Frick; Jeffrey T Foster; Jiang Feng; A Marm Kilpatrick
Journal:  Proc Biol Sci       Date:  2016-03-16       Impact factor: 5.349

8.  Within-population covariation between sexual reproduction and susceptibility to local parasites.

Authors:  Amanda K Gibson; Julie Y Xu; Curtis M Lively
Journal:  Evolution       Date:  2016-07-27       Impact factor: 3.694

9.  Fine-Scale Spatial Covariation between Infection Prevalence and Susceptibility in a Natural Population.

Authors:  Amanda K Gibson; Jukka Jokela; Curtis M Lively
Journal:  Am Nat       Date:  2016-05-10       Impact factor: 3.926

10.  Diversity of microbiota associated with symptomatic and non-symptomatic bacterial wilt-diseased banana plants determined using 16S rRNA metagenome sequencing.

Authors:  Nurul Shamsinah Mohd Suhaimi; Share-Yuan Goh; Noni Ajam; Rofina Yasmin Othman; Kok-Gan Chan; Kwai Lin Thong
Journal:  World J Microbiol Biotechnol       Date:  2017-08-21       Impact factor: 3.312

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