Evidence map›Paper›PMID 40999014›Full record

ArticleCommunications medicine2025

Applying a systems thinking approach to evaluating the effectiveness of Africa's foodborne disease surveillance systems.

Cecilie Thystrup, Tosin Ogunbiyi, Tine Hald

Abstract read
In one paragraph

Article in Communications medicine, 2025. 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

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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

3 authors.

Cecilie ThystrupNational Food Institute, Technical University of Denmark, Kgs, Lyngby, Denmark. ceth@dtu.dk.ORCID http://orcid.org/0009-0007-8566-6491
Tosin OgunbiyiDepartment of Biological Sciences, Mountain Top University, Ibafo, Ogun State, Nigeria.ORCID http://orcid.org/0000-0003-1117-2708
Tine HaldNational Food Institute, Technical University of Denmark, Kgs, Lyngby, Denmark.

Funding

Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) OPP1195617
6 · The paper itself

Abstract

backgroundFoodborne diseases (FBDs) pose a large public health challenge worldwide, particularly in low- and middle-income countries (LMICs), where limited infrastructure, weak regulatory frameworks, and insufficient cross-sector collaboration hinder effective surveillance and prevention. While previous efforts in Africa have focused on risk identification and management training, these approaches often fail to consider the interconnected nature of risk factors, transmission routes, and systemic barriers. As a result, interventions have had limited impact. Addressing this issue requires a systems approach that accounts for the biological, social, and economic complexities of FBD surveillance.

methodsWe applied the "Five Phase Process of Systems Thinking and Modelling" approach to identify and address the key challenges of implementing effective FBD surveillance systems in Africa. Using leverage point analysis, we identified leverage points with the potential to strengthen the system. We developed and analyzed five scenarios to evaluate the system's performance under various configurations of these leverage points.

resultsOur approach identifies 33 elements and behaviors that are connected in a systems map through balancing and reinforcing feedback loops. We identify three deep leverage points with the potential to strengthen the system: Public trust, compliance with food safety practices, and data sharing. Among the scenarios assessed, scenario 5, characterized by high levels of public trust, compliance, and data sharing, is determined as the optimal strategy.

conclusionsBy targeting these elements, countries can pave the way for more effective, sustainable, and culturally appropriate interventions that are critical for improving food safety and overall public health outcomes in these regions. Achieving Scenario 5 will require targeted investments in infrastructure, regulatory support, and public engagement. This study provides actionable insights for policymakers seeking to enhance FBD surveillance systems, contributing to stronger food safety and public health in Africa.

Identifiers

PMID40999014
PMCPMC12462454

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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.