Evidence map›Paper›PMID 38341190›Full record

ArticleBMJ global health2024

Representations of an Ebola 'outbreak' through Story Technologies.

Raphael Frankfurter, Maya Malik, Sahr David Kpakiwa, Timothy McGinnis, Momin M Malik, Smit Chitre, Mohamed Bailor Barrie, Yusupha Dibba, Lulwama Mulalu, Raquel Baldwinson and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Raphael FrankfurterUniversity of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-3531-9508
Maya MalikSchool of Social Work, McGill University, Montreal, Québec, Canada.
Sahr David KpakiwaGardener, Koidu, Sierra Leone.
Timothy McGinnisPritzker School of Medicine, University of Chicago, Chicago, Illinois, USA.
Momin M MalikCenter for Digital Health, Mayo Clinic, Rochester, Minnesota, USA.
Smit ChitreGlobal Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Mohamed Bailor BarriePartners In Health, Freetown, Sierra Leone.
Yusupha DibbaPartners in Health, Freetown, Sierra Leone.ORCID 0000-0001-8554-950X
Lulwama MulaluMcMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada.
Raquel BaldwinsonDepartment of English Language and Literatures, University of British Columbia, Vancouver, British Columbia, Canada.
Mosoka FallahAfrica Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia.
Ismail RashidDepartment of History, Vassar College, Poughkeepsie, New York, USA.
J Daniel KellyEpidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, California, USA.
Eugene T RichardsonGlobal Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA eugene_richardson@hms.harvard.edu.ORCID 0000-0001-8437-0671

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Medical Scientist Training Program (T32 NRSA Training Grant)T32GM141323 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Aimee Kao · 2021 to 2026
$10.5M
Ebola modeling: behavior, asymptomatic infection, and contacts (2019-nCoV Admin Supplement)R01GM130900 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORCO, TRAVIS CHRISTIAN · 2019 to 2022
$1.6M
Social Epidemiology of Ebola Virus DiseaseK08AI139361 · NIAID · HARVARD MEDICAL SCHOOL · PI RICHARDSON, EUGENE THOMAS · 2019 to 2022
$751k
Understanding the epidemiology and natural history of unrecognized Ebola virus infectionK23AI146268 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KELLY, JOHN DANIEL · 2019 to 2022
$748k
NIAID NIH HHS K08 AI139361NIAID NIH HHS K23 AI146268NIAID NIH HHS L30 AI126521NIGMS NIH HHS R01 GM130900NIGMS NIH HHS T32 GM007618NIGMS NIH HHS T32 GM141323
6 · The paper itself

Abstract

backgroundAttempts 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

methodsWe 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

resultsWe 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: 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.

Indexed as

EpidemicsHemorrhagic Fever, EbolaAfrica, WesternAnthropology, CulturalDisease OutbreaksHumansepidemiologymathematical modelling

Identifiers

PMID38341190
PMCPMC10862337

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.