ReviewInfectious diseases of poverty2016
Moving interdisciplinary science forward: integrating participatory modelling with mathematical modelling of zoonotic disease in Africa.
Review in Infectious diseases of poverty, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic review.PLoS neglected tropical diseases · 2017Pooled it
- Community participatory approaches in infectious disease dynamic transmission modelling: a scoping review protocol.BMJ open · 2025Article
- Participatory modeling meets African swine fever - Systems Thinking in action.BMC veterinary research · 2025Article
- The centrality of (mis)trust in pandemic preparedness in Sub-Saharan Africa: a conceptual framework.Journal of the British Academy · 2023Article
- Seroprevalence of anti-Lassa Virus IgG antibodies in three districts of Sierra Leone: A cross-sectional, population-based study.PLoS neglected tropical diseases · 2023Article
- Global narratives on unequal outcomes produced by lockdown in Africa: A social science perspective on the "one-size-fits all" COVID-19 response.Frontiers in public health · 2023Article
- Co-production of knowledge as part of a OneHealth approach to better control zoonotic diseases.PLOS global public health · 2022Article
- Article
- One Coin, Two Sides: Eliciting Expert Knowledge From Training Participants in a Capacity-Building Program for Veterinary Professionals.Frontiers in veterinary science · 2021Article
- Ecosystem perspectives are needed to manage zoonotic risks in a changing climate.BMJ (Clinical research ed.) · 2020Article
- Predicting disease risk areas through co-production of spatial models: The example of Kyasanur Forest Disease in India's forest landscapes.PLoS neglected tropical diseases · 2020Article
- Assessing the Impact of Optimal Health Education Programs on the Control of Zoonotic Diseases.Computational and mathematical methods in medicine · 2020Article
- New methodologies for the estimation of population vulnerability to diseases: a case study of Lassa fever and Ebola in Nigeria and Sierra Leone.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Forecasting and control of emerging infectious forest disease through participatory modelling.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Public involvement in research about environmental change and health: A case study.Health (London, England : 1997) · 2019Article
- Participatory epidemiology of endemic diseases in West African cattle - Ethnoveterinary and bioveterinary knowledge in Fulani disease control.One health (Amsterdam, Netherlands) · 2018Article
- Prioritizing Zoonoses for Global Health Capacity Building-Themes from One Health Zoonotic Disease Workshops in 7 Countries, 2014-2016.Emerging infectious diseases · 2017Article
- Understanding the cryptic nature of Lassa fever in West Africa.Pathogens and global health · 2017Review
- Engaging research with policy and action: what are the challenges of responding to zoonotic disease in Africa?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Integrative modelling for One Health: pattern, process and participation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review outlines the benefits of using multiple approaches to improve model design and facilitate multidisciplinary research into infectious diseases, as well as showing and proposing practical examples of effective integration. It looks particularly at the benefits of using participatory research in conjunction with traditional modelling methods to potentially improve disease research, control and management. Integrated approaches can lead to more realistic mathematical models which in turn can assist with making policy decisions that reduce disease and benefit local people. The emergence, risk, spread and control of diseases are affected by many complex bio-physical, environmental and socio-economic factors. These include climate and environmental change, land-use variation, changes in population and people's behaviour. The evidence base for this scoping review comes from the work of a consortium, with the aim of integrating modelling approaches traditionally used in epidemiological, ecological and development research. A total of five examples of the impacts of participatory research on the choice of model structure are presented. Example 1 focused on using participatory research as a tool to structure a model. Example 2 looks at identifying the most relevant parameters of the system. Example 3 concentrates on identifying the most relevant regime of the system (e.g., temporal stability or otherwise), Example 4 examines the feedbacks from mathematical models to guide participatory research and Example 5 goes beyond the so-far described two-way interplay between participatory and mathematical approaches to look at the integration of multiple methods and frameworks. This scoping review describes examples of best practice in the use of participatory methods, illustrating their potential to overcome disciplinary hurdles and promote multidisciplinary collaboration, with the aim of making models and their predictions more useful for decision-making and policy formulation.
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Registered trials
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.