Literature DB >> 2053615

Biological impact of social disruption resulting from epidemic disease.

J W McGrath1.   

Abstract

Whereas previous research on the disruptive effects of epidemic disease have focused on the ways in which epidemics affect social structure and function, this study focuses on the biological impact of social disruption. The hypothesis is that social disruption resulting from the occurrence of epidemic disease increases the biological impact of the epidemic, as assessed by disease incidence. This hypothesis is explored in terms of a "level of response" model, borrowed from Slobodkin and Rapoport (Q. Rev. Biol. 49:181-200, 1974). The Human Area Relations File (HRAF) provides ethnographic reports of social responses to epidemics. The most frequently reported response in the HRAF is flight or migration away from the locus of the epidemic, followed in frequency by extraordinary preventive and/or therapeutic measures and scapegoating. The model proposes a continuum of responses beginning with responses that are already part of the indigenous response to disease and proceeding through disruptive processes, including flight and rejection of authority systems. Social disruption increases the biological impact of epidemics by robbing the social group of important participants, dismantling public health programs, or producing general economic hardship. The model proposes a scheme for identification of situations under which particular social group responses are "biologically appropriate."

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Year:  1991        PMID: 2053615     DOI: 10.1002/ajpa.1330840405

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  5 in total

1.  Modelling the propagation of social response during a disease outbreak.

Authors:  Shannon M Fast; Marta C González; James M Wilson; Natasha Markuzon
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.118

2.  The Cultural Project: Formal Chronological Modelling of the Early and Middle Neolithic Sequence in Lower Alsace.

Authors:  Anthony Denaire; Philippe Lefranc; Joachim Wahl; Christopher Bronk Ramsey; Elaine Dunbar; Tomasz Goslar; Alex Bayliss; Nancy Beavan; Penny Bickle; Alasdair Whittle
Journal:  J Archaeol Method Theory       Date:  2017-01-09

3.  A large-scale behavior change intervention to prevent Nipah transmission in Bangladesh: components and costs.

Authors:  Nazmun Nahar; Mohammad Asaduzzaman; Rebeca Sultana; Fernando Garcia; Repon C Paul; Jaynal Abedin; Hossain M S Sazzad; Mahmudur Rahman; Emily S Gurley; Stephen P Luby
Journal:  BMC Res Notes       Date:  2017-06-26

4.  A heuristic indication and warning staging model for detection and assessment of biological events.

Authors:  James M Wilson; Marat G Polyak; Jane W Blake; Jeff Collmann
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

5.  Cost-Effective Control of Infectious Disease Outbreaks Accounting for Societal Reaction.

Authors:  Shannon M Fast; Marta C González; Natasha Markuzon
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

  5 in total

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