Evidence map›Paper›PMID 41120146›Full record

ArticleBMJ open2025

Community participatory approaches in infectious disease dynamic transmission modelling: a scoping review protocol.

Nancy B Tahmo, Chidumebi Idemili, Anthony Noah, Byron Odhiambo, Charles Kyalo, Fortune Ligare, Jedidah Wanjiku, Jude Dzevela Kong, Adrienne K Chan, Stefan Baral and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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
–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

0 citing papers in PubMed.

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

14 authors.

Nancy B TahmoDivision of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada nancy.tahmo@mail.utoronto.ca.ORCID http://orcid.org/0000-0003-2745-745X
Chidumebi IdemiliInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-9975-9268
Anthony NoahHealth Research Intervention Kuthamini Afya Yetu (HEKA), Kenya, Kenya.
Byron OdhiamboHealth Research Intervention Kuthamini Afya Yetu (HEKA), Kenya, Kenya.
Charles KyaloHealth Research Intervention Kuthamini Afya Yetu (HEKA), Kenya, Kenya.
Fortune LigareHealth Research Intervention Kuthamini Afya Yetu (HEKA), Kenya, Kenya.
Jedidah WanjikuHealth Research Intervention Kuthamini Afya Yetu (HEKA), Kenya, Kenya.
Jude Dzevela KongDivision of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-7557-5672
Adrienne K ChanInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-9187-9465
Stefan BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Jeffrey WalimbwaHealth Research Intervention Kuthamini Afya Yetu (HEKA), Kenya, Kenya.
Lisa LazarusInstitute for Global Public Health, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID http://orcid.org/0000-0002-7673-4671
Lisa M Puchalski RitchieInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-1791-5368
Sharmistha MishraInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-8492-5470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCommunity participatory modelling merges participatory research approaches with mathematical modelling. Participatory approaches are grounded in the engagement of people with lived experience (eg, who are affected by the health condition under study) throughout the research process. Mathematical modelling of infectious disease (ID) dynamic transmissions is increasingly used as a tool for public health decision-making, generating predictions, inferring mechanisms and estimating the impact of potential interventions-all of which guide policies, strategies and resource allocation as part of the preparation and response to ID epidemics. However, little is known about the engagement of people with lived experience and affected communities in the ID modelling process. We will map the literature to explore participatory approaches undertaken in ID modelling (practical aspects of formalising participatory modelling), levels of participation and the potential influence from the perspective of communities engaged. METHODS AND ANALYSIS: The scoping review will follow the Joanna Briggs Institute Manual for Evidence Synthesis. The search strategy includes three electronic bibliographic databases (MEDLINE, Scopus and Embase), no language restrictions and sources published from 2000 to present. We will implement the search with and without the participatory keyword, as we recognise that some studies do not explicitly term community engagement as participatory modelling. After deduplication, two authors will independently screen the titles, abstracts and full texts, with discrepancies resolved with a third team member. We will extract the relevant information from the main text, parameter tables, supplemental files, bibliography, acknowledgment and author affiliation sections. The data extraction will follow a deductive content analysis where we draw from community-based participatory research approaches and established mathematical modelling steps. We will also extract data to assess whether there was equitable engagement of knowledge users by checking for indicators of three equitable engagement domains as outlined by the Ward framework (equity within partnership (eg, whether knowledge user influenced modelling decisions or remuneration), capacity to engage in future partnerships and shift in power/influence (eg, coauthorship). We will supplement our narrative analyses with summaries in tabular format and using appropriate data visualisations. ETHICS AND DISSEMINATION: No ethics approval will be required for this scoping review because we will map evidence from publicly available literature sources. We will develop multilingual abstracts or one-page lay summaries of the findings (English, French and Swahili), a policy brief and will coauthor an open-access journal article. A summary of the findings will be shared via knowledge user-led presentations at the Maisha HIV and AIDS Conference and with other community-based organisations at the quarterly peer-to-peer support meetings. REGISTRATION: The protocol has been registered in Open Science Framework, DOI: https://doi.org/10.17605/OSF.IO/XQ2WP (December 2024).

Indexed as

Communicable DiseasesCommunity-Based Participatory ResearchModels, TheoreticalHumansPublic HealthResearch DesignScoping Reviews as TopicCommunity-Based Participatory ResearchEpidemicsINFECTIOUS DISEASESReviewSTATISTICS & RESEARCH METHODS

Identifiers

PMID41120146
PMCPMC12542573

What Socratic 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 Socratic graph.