Representations of an Ebola 'outbreak' through Story Technologies.

epidemiology mathematical modelling

Journal

BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275

Informations de publication

Date de publication:
10 Feb 2024
Historique:
received: 26 06 2023
accepted: 14 01 2024
medline: 11 2 2024
pubmed: 11 2 2024
entrez: 10 2 2024
Statut: epublish

Résumé

Attempts to understand biosocial phenomena using scientific methods are often presented as value-neutral and objective; however, when used to reduce the complexity of open systems such as epidemics, these forms of inquiry necessarily entail normative considerations and are therefore fashioned by political worldviews (ideologies). From the standpoint of poststructural theory, the character of these representations is at most limited and partial. In addition, these modes of representation (as We focus on a single Ebola case cluster from the 2013-2016 outbreak in West Africa and examine how different disciplinary forms of knowledge production (including outbreak forecasting, active epidemiological surveillance, post-outbreak serosurveys, political economic analyses, and ethnography) function as We call attention to the instrumental-in addition to the descriptive-role Story Technologies play in ordering contingencies and establishing relationships in the wake of health crises. By connecting each type of knowledge production with the systems of power it reinforces or disrupts, we illustrate how Story Technologies do ideological work. These findings encourage research from pluriversal perspectives and advocacy for measures that promote more inclusive modes of knowledge production.

Sections du résumé

BACKGROUND BACKGROUND
Attempts to understand biosocial phenomena using scientific methods are often presented as value-neutral and objective; however, when used to reduce the complexity of open systems such as epidemics, these forms of inquiry necessarily entail normative considerations and are therefore fashioned by political worldviews (ideologies). From the standpoint of poststructural theory, the character of these representations is at most limited and partial. In addition, these modes of representation (as
METHODS METHODS
We focus on a single Ebola case cluster from the 2013-2016 outbreak in West Africa and examine how different disciplinary forms of knowledge production (including outbreak forecasting, active epidemiological surveillance, post-outbreak serosurveys, political economic analyses, and ethnography) function as
RESULTS RESULTS
We call attention to the instrumental-in addition to the descriptive-role Story Technologies play in ordering contingencies and establishing relationships in the wake of health crises.
DISCUSSION CONCLUSIONS
By connecting each type of knowledge production with the systems of power it reinforces or disrupts, we illustrate how Story Technologies do ideological work. These findings encourage research from pluriversal perspectives and advocacy for measures that promote more inclusive modes of knowledge production.

Identifiants

pubmed: 38341190
pii: bmjgh-2023-013210
doi: 10.1136/bmjgh-2023-013210
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Raphael Frankfurter (R)

University of California San Francisco, San Francisco, California, USA.

Maya Malik (M)

School of Social Work, McGill University, Montreal, Québec, Canada.

Sahr David Kpakiwa (SD)

Gardener, Koidu, Sierra Leone.

Timothy McGinnis (T)

Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA.

Momin M Malik (MM)

Center for Digital Health, Mayo Clinic, Rochester, Minnesota, USA.

Smit Chitre (S)

Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.

Mohamed Bailor Barrie (MB)

Partners In Health, Freetown, Sierra Leone.

Yusupha Dibba (Y)

Partners in Health, Freetown, Sierra Leone.

Lulwama Mulalu (L)

McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada.

Raquel Baldwinson (R)

Department of English Language and Literatures, University of British Columbia, Vancouver, British Columbia, Canada.

Mosoka Fallah (M)

Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia.

Ismail Rashid (I)

Department of History, Vassar College, Poughkeepsie, New York, USA.

J Daniel Kelly (JD)

Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, California, USA.

Eugene T Richardson (ET)

Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA eugene_richardson@hms.harvard.edu.
Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Classifications MeSH