New directions for participatory modelling in health: Redistributing expertise in relation to localised matters of concern

References

• Abramowitz, S. (2017). Epidemics (Especially Ebola). Annual Review of Anthropology, 46(1), 421–445. https://doi.org/10.1146/annurev-anthro-102116-041616
   Web of Science ®Google Scholar
• Abramowitz, S., Bardosh, K. L., Leach, M., Hewlett, B., Nichter, M., & Nguyen, V.-K. (2015). Social science intelligence in the global Ebola response. The Lancet, 385(9965), 9965. https://doi.org/10.1016/s0140-6736(15)60119-2
   Web of Science ®Google Scholar
• Adams, R., & Sample, I. (2020, May 23). Ministers rejected school reopening plan recommended by Sage experts. Guardian.
   Google Scholar
• Adib, K., Hancock, P. A., Rahimli, A., Mugisa, B., Abdulrazeq, F., Aguas, R., White, L. J., Hajjeh, R., Al Ariqi, L., & Nabeth, P. (2021). A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making. BMJ Global Health, 6(3), e005207. https://doi.org/10.1136/bmjgh-2021-005207
   PubMed Web of Science ®Google Scholar
• Aguas, R., White, L., Hupert, N., Shretta, R., RPan-Ngum, W., Celhay, O., … Consortium, C. (2020). Modelling the COVID-19 pandemic in context: An international participatory approach. BMJ Global Health, 5(12), e003126. https://doi.org/10.1136/bmjgh-2020-003126.
   PubMed Web of Science ®Google Scholar
• Allender, S., Owen, B., Kuhlberg, J., Lowe, J., Nagorcka-Smith, P., Whelan, J., & Bell, C. (2015). A community based systems diagram of obesity causes. PLoS ONE, 10(7), e0129683. https://doi.org/10.1371/journal.pone.0129683
   PubMed Web of Science ®Google Scholar
• Atkinson, J. A., Knowles, D., Wiggers, J., Livingston, M., Room, R., Prodan, A., … alcohol modelling consortium. (2018). Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms. International Journal of Public Health, 63(4), 537–546. https://doi.org/10.1007/s00038-017-1041-y
   PubMed Web of Science ®Google Scholar
• Atkinson, J. A., O'Donnell, E., Wiggers, J., McDonnell, G., Mitchell, J., Freebairn, L., … Rychetnik, L. (2017). Dynamic simulation modelling of policy responses to reduce alcohol-related harms: Rationale and procedure for a participatory approach. Public Health Research & Practice, 27(1), https://doi.org/10.17061/phrp2711707
   Google Scholar
• Atkinson, J. A., Wells, R., Page, A., Dominello, A., Haines, M., & Wilson, A. (2015). Applications of system dynamics modelling to support health policy. Public Health Research and Practice, 25(3), e2531531. https://doi.org/10.17061/phrp2531531
   PubMed Web of Science ®Google Scholar
• Badham, J., Chattoe-Brown, E., Gilbert, N., Chalabi, Z., Kee, F., & Hunter, R. F. (2018). Developing agent-based models of complex health behaviour. Health & Place, 54, 170–177. https://doi.org/10.1016/j.healthplace.2018.08.022
   PubMed Web of Science ®Google Scholar
• Barra, M. P., Hemmerling, S. A., & Baustian, M. M. (2020). A model controversy: Using Environmental competency groups to inform coastal restoration Planning in Louisiana. The Professional Geographer, 72(4), 511–520. https://doi.org/10.1080/00330124.2020.1777574
   Web of Science ®Google Scholar
• Bin Nafisah, S., Alamery, A. H., Al Nafesa, A., Aleid, B., & Branzaji, N. A. (2018). School closure during novel influenza: A systematic review. Journal of Infection and Public Health, 11(5), 657–661. https://doi.org/10.1016/j.jiph.2018.01.003
   PubMed Web of Science ®Google Scholar
• Binot, A., Duboz, R., Promburom, P., Phimpraphai, W., Cappelle, J., Lajaunie, C., … Roger, F. L. (2015). A framework to promote collective action within the One Health community of practice: Using participatory modelling to enable interdisciplinary, cross-sectoral and multi-level integration. One Health, 1, 44–48. https://doi.org/10.1016/j.onehlt.2015.09.001
   PubMed Web of Science ®Google Scholar
• Bots, P. W. G., & van Daalen, C. E. (2008). Participatory model construction and model Use in Natural Resource management: A framework for reflection. Systemic Practice and Action Research, 21(6), 389–407. https://doi.org/10.1007/s11213-008-9108-6
   Web of Science ®Google Scholar
• Callon, M. (1998). An essay on framing and overflowing: Economic externalities revisited by sociology. In M. Callon (Ed.), The laws of markets (pp. 244–269). Blackwell.
   Google Scholar
• Callon, M. (1999). The role of lay people in the production and dissemination of scientific knowledge. Science, Technology & Society, 4(1). https://doi.org/10.1177/097172189900400106
   Google Scholar
• Callon, M., Lascoumbes, P., & Barthe, Y. (2009). Acting in an uncertain world: An essay on technical democracy. MIT Press.
   Google Scholar
• Callon, M., & Muniesa, F. (2005). Economic markets and calculative collective devices. Organization Studies, 26(8), 1229–1250. https://doi.org/10.1177/0170840605056393
   Web of Science ®Google Scholar
• Chilvers, J., & Kearnes, M. (2016). Remaking participation: Science, environment and emergent publics. Routledge.
   Google Scholar
• Chilvers, J., & Kearnes, M. (2020). Remaking participation in science and democracy. Science, Technology, & Human Values, 45(3), 347–380. https://doi.org/10.1177/0162243919850885
   Web of Science ®Google Scholar
• Cilenti, D., Issel, M., Wells, R., Link, S., & Lich, K. H. (2019). System dynamics approaches and collective action for community health: An integrative review. American Journal of Community Psychology, 63(3–4), 527–545. https://doi.org/10.1002/ajcp.12305
   PubMed Web of Science ®Google Scholar
• Darabi, N., & Hosseinichimeh, N. (2020). System dynamics modeling in health and medicine: A systematic literature review. System Dynamics Review, 36(1), 29–73. https://doi.org/10.1002/sdr.1646
   Web of Science ®Google Scholar
• Dianati, K., Zimmermann, N., Milner, J., Muindi, K., Ezeh, A., Chege, M., … Davies, M. (2019). Household air pollution in Nairobi's slums: A long-term policy evaluation using participatory system dynamics. Science of the Total Environment, 660, 1108–1134. https://doi.org/10.1016/j.scitotenv.2018.12.430
   PubMed Web of Science ®Google Scholar
• Dreyer, M., & Renn, O. (2011). Participatory approaches to modelling for improved learning and decision-making in Natural Resource governance: An editorial. Environmental Policy and Governance, 21(6), 379–385. https://doi.org/10.1002/eet.584
   Web of Science ®Google Scholar
• Duboz, R., & Binot, A. (2017). Animal and human health: Tackling uncertainty through participatory modelling and simulation. CIRAD Perspective, 41. https://doi.org/10.18167/agritrop/00043
   Google Scholar
• Duboz, R., Echaubard, P., Promburom, P., Kilvington, M., Ross, H., Allen, W., … Binot, A. (2018). Systems thinking in practice: Participatory modeling as a foundation for integrated approaches to health. Frontiers in Veterinary Science, 5, 303. https://doi.org/10.3389/fvets.2018.00303
   PubMed Web of Science ®Google Scholar
• Ferguson, N. M., Laydon, D., Nedjati-Gilani, G., Iami, N., Ainslie, K., Baguelin, M., … Ghani, A. C. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand.
   Google Scholar
• Freebairn, L., Atkinson, J.-A., Kelly, P. M., Mcdonnell, G., & Rychetnik, L. (2018). Decision makers' experience of participatory dynamic simulation modelling: Methods for public health policy. BMC Medical Informatics and Decision Making, 18, 131. https://doi.org/10.1186/s12911-018-0707-6
   PubMed Web of Science ®Google Scholar
• Freebairn, L., Rychetnik, L., Atkinson, J. A., Kelly, P., McDonnell, G., Roberts, N., … Redman, S. (2017). Knowledge mobilisation for policy development: Implementing systems approaches through participatory dynamic simulation modelling. Health Research Policy and Systems, 15(1), 83. https://doi.org/10.1186/s12961-017-0245-1
   PubMedGoogle Scholar
• Frerichs, L., Hassmiller, K., Funchess, M., Burrell, M., Cerulli, C., Bedell, P., & White, A. M. (2016). Applying critical race theory to group model building methods to address community violence. Progress in Community Health Partnerships: Research, Education, and Action, 10(3), 443–459. https://doi.org/10.1353/cpr.2016.0051
   PubMedGoogle Scholar
• Frerichs, L., Smith, N., Kuhlberg, J. A., Mason, G., Jackson-Diop, D., Stith, D., … Lich, K. H. (2020). Novel participatory methods for co-building an agent-based model of physical activity with youth. PLoS ONE, 15(11), e0241108. https://doi.org/10.1371/journal.pone.0241108
   PubMed Web of Science ®Google Scholar
• Funk, S., Salathe, M., & Jansen, V. A. (2010). Modelling the influence of human behaviour on the spread of infectious diseases: A review. Journal of the Royal Society Interface, 7(50), 1247–1256. https://doi.org/10.1098/rsif.2010.0142
   PubMed Web of Science ®Google Scholar
• Furstenau, D., Spies, C., Gersch, M., Vogel, A., Morgeli, R., Poncette, A. S., … Balzer, F. (2019). Sharing frailty-related information in perioperative care: An analysis from a temporal perspective. BMC Health Services Research, 19(1), 105. https://doi.org/10.1186/s12913-019-3890-y
   PubMedGoogle Scholar
• Gaydos, D. A., Petrasova, A., Cobb, R. C., & Meentemeyer, R. K. (2019). Forecasting and control of emerging infectious forest disease through participatory modelling. Philosophical Transactions of the Royal Society London B, Biological Sciences, 374(1776), 20180283. https://doi.org/10.1098/rstb.2018.0283
   PubMed Web of Science ®Google Scholar
• Gerritsen, S., Harre, S., Rees, D., Renker-Darby, A., Bartos, A. E., Waterlander, W. E., & Swinburn, B. (2020). Community group model building as a method for engaging participants and mobilising action in public health. International Journal Environmental Research and Public Health, 17(10), https://doi.org/10.3390/ijerph17103457
   Google Scholar
• Gilbert, N. (2008). Agent-based models. Sage.
   Google Scholar
• Goutard, F. L., Binot, A., Duboz, R., Rasamoelina-Andriamanivo, H., Pedrono, M., Holl, D., … Roger, F. L. (2015). How to reach the poor? Surveillance in low-income countries, lessons from experiences in Cambodia and Madagascar. Preventive Veterinary Medicine, 120(1), 12–26. https://doi.org/10.1016/j.prevetmed.2015.02.014
   PubMed Web of Science ®Google Scholar
• Grant, C., Lo Iacono, G., Dzingirai, V., Bett, B., Winnebah, T. R. A., & Atkinson, P. M. (2016). Moving interdisciplinary science forward: Integrating participatory modelling with mathematical modelling of zoonotic disease in Africa. Infectious Diseases of Poverty, 5(1), https://doi.org/10.1186/s40249-016-0110-4
   Google Scholar
• Greenhalgh, T. (2020). Will COVID-19 be evidence-based medicine's nemesis? PLoS Medicine, 17(6), e1003266. https://doi.org/10.1371/journal.pmed.1003266
   PubMed Web of Science ®Google Scholar
• Ibrahim Shire, M., Jun, G. T., & Robinson, S. (2020). Healthcare workers’ perspectives on participatory system dynamics modelling and simulation: Designing safe and efficient hospital pharmacy dispensing systems together. Ergonomics, 1–13. https://doi.org/10.1080/00140139.2020.1783459
   Google Scholar
• Kenealy, T., Rees, D., Sheridan, N., Moffitt, A., Tibby, S., & Homer, J. (2012). A ‘whole of system’ approach to compare options for CVD interventions in Counties Manukau. Australian and New Zealand Journal of Public Health, 36(3), 263–268. https://doi.org/10.1111/j.1753-6405.2011.00812.x
   PubMed Web of Science ®Google Scholar
• Kesby, M., Pain, R., & Kindon, S. L. (2007). Participatory action research approaches and methods: Connecting people, participation and place. Routledge.
   Google Scholar
• Knuuttila, T. (2005). Models as epistemic artefacts: Toward a non-representationalist account of scientific representation. University of Helsinki.
   Google Scholar
• Knuuttila, T. (2011). Modelling and representing: An artefactual approach to model-based representation. Studies in History and Philosophy of Science Part A, 42(2), 262–271. https://doi.org/10.1016/j.shpsa.2010.11.034
   Web of Science ®Google Scholar
• Kothari, U., & Cooke, B. (2005). Participation: The new tyranny? Zed Books.
   Google Scholar
• Kucharski, A. (2020). Rules of contagion: Why things spread and why they don't. Profile Books.
   Google Scholar
• Lakoff, A. (2017). Unprepared: Global health in a time of emergency. University of California Press.
   Google Scholar
• Lancaster, K. (2016). Performing the evidence-based drug policy paradigm. Contemporary Drug Problems, 43(2), 142–153. https://doi.org/10.1177/0091450916633306
   Google Scholar
• Lancaster, K., & Rhodes, T. (2020). What prevents health policy being ‘evidence-based’? New ways to think about evidence, policy and interventions in health. British Medical Bulletin, 135(1), 38–49. https://doi.org/10.1093/bmb/ldaa026
   PubMed Web of Science ®Google Scholar
• Lancaster, K., Rhodes, T., & Rosengarten, M. (2020). Making evidence and policy in public health emergencies: Lessons from COVID-19 for adaptive evidence-making and intervention. Evidence & Policy: A Journal of Research, Debate and Practice, 16(3), 477–490. https://doi.org/10.1332/174426420x15913559981103
   Google Scholar
• Lancaster, K., Seear, K., Treloar, C., & Ritter, A. (2017). The productive techniques and constitutive effects of ‘evidence-based policy’ and ‘consumer participation’ discourses in health policy processes. Social Science & Medicine, 176, 60–68. https://doi.org/10.1016/j.socscimed.2017.01.031
   PubMed Web of Science ®Google Scholar
• Landström, C. (2017). The Professors: Sarah Whatmore and Paul Whitehead in Conversation About the Kennet ECG. In Transdisciplinary Environmental Research (pp. 17–45).
   Google Scholar
• Landström, C., Becker, M., Odoni, N., & Whatmore, S. J. (2019). Community modelling: A technique for enhancing local capacity to engage with flood risk management. Environmental Science & Policy, 92, 255–261. https://doi.org/10.1016/j.envsci.2018.11.009
   Web of Science ®Google Scholar
• Landström, C., & Whatmore, S. J. (2014). Virtually expert: Modes of environmental computer simulation modeling. Science in Context, 27(4), 579–603. https://doi.org/10.1017/s0269889714000210
   PubMed Web of Science ®Google Scholar
• Landström, C., Whatmore, S. J., & Lane, S. N. (2011). Virtual engineering: Computer simulation modelling for flood risk management in England. Science Studies, 24(2), 3–22. https://doi.org/10.23987/sts.55261
   Google Scholar
• Landström, C., Whatmore, S. J., Lane, S. N., Odoni, N. A., Ward, N., & Bradley, S. (2011). Coproducing flood risk knowledge: Redistributing expertise in critical ‘participatory modelling’. Environment and Planning A: Economy and Space, 43(7), 1617–1633. https://doi.org/10.1068/a43482
   Web of Science ®Google Scholar
• Latour, B. (2004). Politics of nature: How to bring the sciences into democracy. Harvard University Press.
   Google Scholar
• Leach, M., Scoones, I., & Wynne, B. (Eds.). (2005). Science and citizens: Globalisation and the challenge of engagement. Zed Books.
   Google Scholar
• Loyo, H. K., Batcher, C., Wile, K., Huang, P., Orenstein, D., & Milstein, B. (2013). From model to action: Using a system dynamics model of chronic disease risks to align community action. Health Promotion Practice, 14(1), 53–61. https://doi.org/10.1177/1524839910390305
   PubMedGoogle Scholar
• Mackenzie, D. (2006). An engine, not a camera: How financial models shape markets. MIT Press.
   Google Scholar
• Mansnerus, E. (2013). Using model-based evidence in the governance of pandemics. Sociology of Health and Illness, 35(2), 280–291. https://doi.org/10.1111/j.1467-9566.2012.01540.x
   PubMed Web of Science ®Google Scholar
• Marres, N., & Lezaun, J. (2011). Materials and devices of the public: An introduction. Economy and Society, 40(4), 489–509. https://doi.org/10.1080/03085147.2011.602293
   Web of Science ®Google Scholar
• Minyard, K. J., Ferencik, R., Ann Phillips, M., & Soderquist, C. (2014). Using systems thinking in state health policymaking: An educational initiative. Health Systems, 3(2), 117–123. https://doi.org/10.1057/hs.2013.17
   PubMedGoogle Scholar
• Morgan, M. S., & Morrison, M. (1999). Models as mediators: Perspectives on natural and social science. Cambridge University Press.
   Google Scholar
• Morrison, M., & Morgan, M. S. (1999). Models as mediating instruments. In M. S. Morgan, & M. Morrison (Eds.), Models as mediators: Perspectives on natural and social science (pp. 10–37). Cambridge University Press.
   Google Scholar
• Mouffe, C. (2005). On the political. Taylor & Francis.
   Google Scholar
• Munar, W., Hovmand, P. S., Fleming, C., & Darmstadt, G. L. (2015). Scaling-up impact in perinatology through systems science: Bridging the collaboration and translational divides in cross-disciplinary research and public policy. Seminars in Perinatology, 39(5), 416–423. https://doi.org/10.1053/j.semperi.2015.06.003
   PubMed Web of Science ®Google Scholar
• Munday, J. D., Jarvis, C. I., Gimma, A., Wong, K. L., van Zandvoort, K., & Funk, S. … CMMID COVID-19 Working Group. ([preprint]). Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data. medRxiv, https://doi.org/10.1101/2021.03.06.21252964
   Google Scholar
• Myers, N. (2015). Rendering life molecular: Models, modelers and excitable matter. Duke University Press.
   Google Scholar
• O'Donnell, E., Atkinson, J. A., Freebairn, L., & Rychetnik, L. (2017). Participatory simulation modelling to inform public health policy and practice: Rethinking the evidence hierarchies. Journal of Public Health Policy, 38(2), 203–215. https://doi.org/10.1057/s41271-016-0061-9
   PubMed Web of Science ®Google Scholar
• Panovska-Griffiths, J., Kerr, C. C., Stuart, R. M., Mistry, D., Klein, D. J., Viner, R. M., & Bonell, C. (2020). Determining the optimal strategy for reopening schools, the impact fo test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave int he UK: A modelling study. Lancet Child & Adolescent Health, 4(11), 817–827. https://doi.org/10.1016/S2352-4642(20)30250-9
   Web of Science ®Google Scholar
• Prem, K., Liu, Y., Russell, T. W., Kucharski, A. J., Eggo, R. M., Davies, N., … Klepac, P. (2020). The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: A modelling study. Lancet Public Health, 5(5), e261–e270. https://doi.org/10.1016/S2468-2667(20)30073-6
   PubMed Web of Science ®Google Scholar
• Purse, B. V., Darshan, N., Kasabi, G. S., Gerard, F., Samrat, A., George, C., … Kiran, S. K. (2020). 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, 14(4), e0008179. https://doi.org/10.1371/journal.pntd.0008179
   PubMed Web of Science ®Google Scholar
• Rancière, J. (2001). Ten theses on politics. Theory & Event, 5(3). https://doi.org/10.1353/tae.2001.0028
   Google Scholar
• Ravera, F., Hubacek, K., Reed, M., & Tarrasón, D. (2011). Learning from experiences in adaptive action research: A critical comparison of two case Studies Applying participatory scenario development and modelling approaches. Environmental Policy and Governance, 21(6), 433–453. https://doi.org/10.1002/eet.585
   Web of Science ®Google Scholar
• Rhodes, T., & Lancaster, K. (2019). Evidence-making interventions in health: A conceptual framing. Social Science & Medicine, 238, 112488. https://doi.org/10.1016/j.socscimed.2019.112488
   PubMed Web of Science ®Google Scholar
• Rhodes, T., & Lancaster, K. (2020). Mathematical models as public troubles in COVID-19 infection control: Following the numbers. Health Sociology Review, 29(2), 177–194. https://doi.org/10.1080/14461242.2020.1764376
   PubMed Web of Science ®Google Scholar
• Rhodes, T., & Lancaster, K. (2021a). Excitable models: Enumerated projections and the making of futures without disease. Sociology of Health and Illness [Advance Online Publication], https://doi.org/10.1111/1467-9566.13263
   Google Scholar
• Rhodes, T., & Lancaster, K. (2021b). How to think with models and targets: Hepatitis C elimination as a numbering performance. International Journal of Drug Policy, 102694. https://doi.org/10.1016/j.drugpo.2020.102694
   Google Scholar
• Rhodes, T., Lancaster, K., Lees, S., & Parker, M. (2020). Modelling the pandemic: Attuning models to their contexts. BMJ Global Health, 5(6), https://doi.org/10.1136/bmjgh-2020-002914
   Google Scholar
• Richardson, G. P. (2011). Reflections on the foundations of system dynamics. System Dynamics Review, 27(3), 219–243. https://doi.org/10.1002/sdr.462
   Web of Science ®Google Scholar
• Röckmann, C., Ulrich, C., Dreyer, M., Bell, E., Borodzicz, E., Haapasaari, P., … Pastoors, M. (2012). The added value of participatory modelling in fisheries management – what has been learnt? Marine Policy, 36(5), 1072–1085. https://doi.org/10.1016/j.marpol.2012.02.027
   Web of Science ®Google Scholar
• Royston, G., Dost, A., Townshend, J., & Turner, H. (1999). Using system dynamics to help develop and implement policies and programmes in health care in England. System Dynamics Review, 15(3), 298–313.
   Web of Science ®Google Scholar
• Scoones, I., Jones, K., Lo Iacono, G., Redding, D. W., Wilkinson, A., & Wood, J. L. N. (2017). Integrative modelling for One Health: Pattern, process and participation. Philosophical Transactions of the Royal Society London B, Biological Sciences, 372(1725), 1725. https://doi.org/10.1098/rstb.2016.0164
   Web of Science ®Google Scholar
• Siebenhüner, B., & Barth, V. (2005). The role of computer modelling in participatory integrated assessments. Environmental Impact Assessment Review, 25(4), 367–389. https://doi.org/10.1016/j.eiar.2004.10.002
   Web of Science ®Google Scholar
• Smith, H. A. (2020). Informing colorectal cancer screening in northern Canada using participatory simulation modeling. University Ottawa.
   Google Scholar
• Squires, H. (2014). A methodological framework for developing the structure of public health economic models. University of Sheffield.
   Google Scholar
• Stengers, I. (2005). The cosmopolitical proposal. In B. Latour & P. Weibel (Eds.), Making things public (pp. 994–1003). MIT Press.
   Google Scholar
• Swierad, E., Huang, T. T. K., Ballard, E., Flórez, K., & Li, S. (2020). Developing a socioculturally nuanced systems model of childhood Obesity in manhattan’s Chinese American community via Group Model building. Journal of Obesity, 2020, 1–11. https://doi.org/10.1155/2020/4819143
   Web of Science ®Google Scholar
• Tsouvalis, J., & Waterton, C. (2012). Building ‘participation’ upon critique: The Loweswater Care Project, Cumbria, UK. Environmental Modelling & Software, 36, 111–121. https://doi.org/10.1016/j.envsoft.2012.01.018
   Web of Science ®Google Scholar
• van Voorn, G. A., Vemer, P., Hamerlijnck, D., Ramos, I. C., Teunissen, G. J., Al, M., & Feenstra, T. L. (2016). The missing stakeholder group: Why patients should be involved in health economic modelling. Applied Health Economics and Health Policy, 14(2), 129–133. https://doi.org/10.1007/s40258-015-0200-7
   PubMed Web of Science ®Google Scholar
• Vennix, J. A. M. (1996). Group model building: Facilitating team learning using system dynamics. John Wiley & Sons.
   Google Scholar
• Viner, R. M., Russell, S. J., Croker, H., Packer, J., Ward, J., Stansfield, C., … Booy, R. (2020). School closure and management practices during coronavirus outbreaks inlcuding COVID-19: A rapid systematic review. Lancet Child & Adolescent Health, 4(5), 397–404. https://doi.org/10.1016/S2352-4642(20)30095-X
   Web of Science ®Google Scholar
• Voinov, A., & Bousquet, F. (2010). Modelling with stakeholders⋆. Environmental Modelling & Software, 25(11), 1268–1281. https://doi.org/10.1016/j.envsoft.2010.03.007
   Web of Science ®Google Scholar
• Voinov, A., Kolagani, N., McCall, M. K., Glynn, P. D., Kragt, M. E., Ostermann, F. O., … Ramu, P. (2016). Modelling with stakeholders – next generation. Environmental Modelling & Software, 77, 196–220. https://doi.org/10.1016/j.envsoft.2015.11.016
   Web of Science ®Google Scholar
• Wang, E. A., Riley, C., Wood, G., Greene, A., Horton, N., Williams, M., … Roy, B. (2020). Building community resilience to prevent and mitigate community impact of gun violence: Conceptual framework and intervention design. BMJ Open, 10(10), e040277. https://doi.org/10.1136/bmjopen-2020-040277
   PubMed Web of Science ®Google Scholar
• Waterton, C., & Tsouvalis, J. (2015). On the political nature of cyanobacteria: Intra-active collective politics in Loweswater, the English Lake District. Environment and Planning D: Society and Space, 33(3), 477–493. https://doi.org/10.1177/0263775815594305
   Web of Science ®Google Scholar
• Weeks, M. R., Li, J., Lounsbury, D., Green, H. D., Abbott, M., Berman, M., … Mosher, H. (2017). Using participatory system dynamics modeling to examine the local HIV test and treatment care continuum in order to reduce community viral load. American Journal of Community Psychology, 60(3–4), 584–598. https://doi.org/10.1002/ajcp.12204
   PubMed Web of Science ®Google Scholar
• Whatmore, S. J. (2009). Mapping knowledge controversies: Science, democracy and the redistribution of expertise. Progress in Human Geography, 33(5), 587–598. https://doi.org/10.1177/0309132509339841
   Web of Science ®Google Scholar
• Whatmore, S. J., & Landström, C. (2011). Flood apprentices: An exercise in making things public. Economy and Society, 40(4), 582–610. https://doi.org/10.1080/03085147.2011.602540
   Web of Science ®Google Scholar
• Whitman, G. P., Pain, R., & Milledge, D. G. (2015). Going with the flow? Using participatory action research in physical geography. Progress in Physical Geography: Earth and Environment, 39(5), 622–639. https://doi.org/10.1177/0309133315589707
   Google Scholar
• WHO. (2005). WHO global influenza preparedness plan. World Health Organization (Document WHO/CDS/GIP/2005.5).
   Google Scholar
• WHO. (2021). COVID-19 Strategic preparedness and response plan. World Health Organization (Document WHO/WHE/2021.02).
   Google Scholar
• WHO Europe. (2021). Fourth meeting of the technical advisory group on safe schooling during the COVID-19 pandemic. World Health Organization Europe (Document WHO/EURO:2021-2197-41952-57642). https://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/publications-and-technical-guidance/2021/fourth-meeting-of-the-technical-advisory-group-on-safe-schooling-during-the-covid-19-pandemic-copenhagen,-denmark-9-march-2021-produced-by-whoeurope.
   Google Scholar
• Wynne, B. (2007). Public participation in science and technology: Performing and obscuring a political–conceptual category mistake. East Asian Science, Technology and Society: An International Journal, 1(1), 99–110. https://doi.org/10.1007/s12280-007-9004-7
   Google Scholar
• Yan, H. (2021, March 12). The debate over reopening schools is fierce and divisive. Here's where people on different sides of the issue are coming from. CNN.
   Google Scholar
• Yang, J., Zhang, Q., Cao, Z., Gao, J., Pfeiffer, D., Zhong, L., & Zeng, D. D. (2021). The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City. Chaos, 31(2), 021101. https://doi.org/10.1063/5.0040560
   PubMed Web of Science ®Google Scholar
• Zhang, J., Litvinova, M., Liang, Y., Wang, Y., Wang, W., Zhao, S., … Yu, H. (2020). Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science, 368(6498), 1481–1486. https://doi.org/10.1126/science.abb8001
   PubMed Web of Science ®Google Scholar
• Zimmerman, L., Lounsbury, D. W., Rosen, C. S., Kimerling, R., Trafton, J. A., & Lindley, S. E. (2016). Participatory System Dynamics Modeling: increasing stakeholder engagement and precision to improve implementation planning in systems. Administration and Policy in Mental Health and Mental Health Services, 43(6), 834–849. https://doi.org/10.1007/s10488-016-0754-1
   PubMed Web of Science ®Google Scholar