Evidence map›Paper›PMID 36467298›Full record

ArticleOpen forum infectious diseases2022

Social Network Analysis of Ebola Virus Disease During the 2014 Outbreak in Sukudu, Sierra Leone.

Ashley Hazel, Michelle C Davidson, Abu Rogers, M Bailor Barrie, Adams Freeman, Mohamed Mbayoh, Mohamed Kamara, Seth Blumberg, Thomas M Lietman, George W Rutherford and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2022. 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.

Ashley HazelFrancis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-7680-5460
Michelle C DavidsonSchool of Medicine, University of California, San Francisco, San Francisco, California, USA.
Abu RogersSchool of Medicine, Stanford University, Stanford, California, USA.
M Bailor BarrieInstitute for Global Health Sciences, University of California, San Francisco, California, USA.
Adams FreemanPartners in Health, Freetown, Sierra Leone.
Mohamed MbayohPartners in Health, Freetown, Sierra Leone.
Mohamed KamaraPartners in Health, Freetown, Sierra Leone.
Seth BlumbergFrancis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA.
Thomas M LietmanFrancis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA.
George W RutherfordInstitute for Global Health Sciences, University of California, San Francisco, California, USA.
James Holland JonesDivision of Social Sciences, Doerr School of Sustainability and the Environment, Stanford University, Stanford, California, USA.
Travis C PorcoFrancis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA.
Eugene T RichardsonPartners in Health, Freetown, Sierra Leone.
J Daniel KellyFrancis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-7616-0321

Funding

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 GM130900
6 · The paper itself

Abstract

Background: Transmission by unreported cases has been proposed as a reason for the 2013-2016 Ebola virus (EBOV) epidemic decline in West Africa, but studies that test this hypothesis are lacking. We examined a transmission chain within social networks in Sukudu village to assess spread and transmission burnout. Methods: Network data were collected in 2 phases: (1) serological and contact information from Ebola cases (n = 48, including unreported); and (2) interviews (n = 148), including Ebola survivors (n = 13), to identify key social interactions. Social links to the transmission chain were used to calculate cumulative incidence proportion as the number of EBOV-infected people in the network divided by total network size. Results: The sample included 148 participants and 1522 contacts, comprising 10 social networks: 3 had strong links (>50% of cases) to the transmission chain: household sharing (largely kinship), leisure time, and talking about important things (both largely non-kin). Overall cumulative incidence for these networks was 37 of 311 (12%). Unreported cases did not have higher network centrality than reported cases. Conclusions: Although this study did not find evidence that explained epidemic decline in Sukudu, it excluded potential reasons (eg, unreported cases, herd immunity) and identified 3 social interactions in EBOV transmission.

Indexed as

Ebola virusruralSierra Leonesocial networkstransmission chains

Identifiers

PMID36467298
PMCPMC9709704

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.