Evidence map›Paper›PMID 37027400›Full record

ArticlePLoS neglected tropical diseases2023

Social Network Analysis of the Schistosomiasis control program in two local government areas in Oyo state, Nigeria: Insights for NTD elimination plans.

Adeola Onasanya, Jo van Engelen, Opeyemi Oladunni, Oladimeji Oladepo, Jan Carel Diehl

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Adeola OnasanyaDepartment of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0001-9599-4316
Jo van EngelenDepartment of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Opeyemi OladunniDepartment of Public Health, Adeleke University, Ede, Nigeria.
Oladimeji OladepoDepartment of Health Promotion and Education, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Jan Carel DiehlDepartment of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Delft University of Technology · NLAdeleke University · NGUniversity of Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchistosomiasis is one of the neglected tropical diseases targeted for elimination by 2030. Achieving disease elimination requires collaboration between stakeholders, country ownership and the involvement of community-level stakeholders. The state of stakeholder relationship determines the ease and timeliness of meeting disease elimination targets. Mapping stakeholder relationships is critical for assessing gaps in the schistosomiasis control program implementation, and providing a roadmap for improved stakeholder cohesion. The study aimed to measure the cohesiveness of the contact, collaboration and resource-sharing networks, across 2 local government areas in Oyo state, Nigeria. MATERIALS AND

methodsThis study used a Network Representative design for Social Network Analysis (SNA). The study was conducted within Oyo state, Nigeria using 2 Local Government Areas (LGAs): Ibadan North (urban) and Akinyele (rural). Stakeholders were identified using a link-tracing approach. Data was collected using Qualtrics software from stakeholders across the state, local government, healthcare, academia, and non-governmental organizations. Data was analysed using Gephi software for network cohesion across the three networks.

resultsThe social network analysis revealed high clustering and low density across the three networks implying low cohesion across multiple stakeholder categories. The contact and collaborative networks were the most active with the lowest level of cohesion seen in the resource-sharing network. Stakeholders were more active in the rural LGA than the urban, and stakeholders within the organized governance and public health system were the dominant actors in the schistosomiasis control program.

conclusionThe low cohesion, high clustering and low network density among stakeholders within the schistosomiasis control program should be addressed in other to drive innovation and meet the WHO schistosomiasis elimination target.

Indexed as

Local GovernmentSchistosomiasisHumansNigeriaPublic HealthSocial Network Analysis

Identifiers

PMID37027400
PMCPMC10115309
OpenAlexW4362691890

What OpenQuestion holds

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LicenceCC BY
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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.