Modelling Covid-19 under uncertainty: what can we expect?
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DOI: 10.1007/s10198-020-01202-y
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As found by EconAcademics.org, the blog aggregator for Economics research:- Chris Sampson’s journal round-up for 27th July 2020
by Chris Sampson in The Academic Health Economists' Blog on 2020-07-27 11:00:01
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Cited by:
- Mohamed Ali Labidi, 2023. "How the COVID-19 Pandemic Affected Developing Countries: the Tunisian Investigation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 20-34, March.
- Carlos Arturo Cassiani-Miranda & Adalberto Campo-Arias & Andrés Felipe Tirado-Otálvaro & Luz Adriana Botero-Tobón & Luz Dary Upegui-Arango & MarÃa Soledad RodrÃguez-Verdugo & MarÃa Elena Botero-, 2021. "Stigmatisation associated with COVID-19 in the general Colombian population," International Journal of Social Psychiatry, , vol. 67(6), pages 728-736, September.
- N. Shamsi Gamchi & M. Esmaeili, 2023. "A novel mathematical model for prioritization of individuals to receive vaccine considering governmental health protocols," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 633-646, June.
- I. Gede Nyoman M. Jaya & Henk Folmer, 2021. "Bayesian spatiotemporal forecasting and mapping of COVID‐19 risk with application to West Java Province, Indonesia," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 849-881, September.
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- I10 - Health, Education, and Welfare - - Health - - - General
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