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Machine leanring for predicting caccine immunogenicity
Lee, Eva K.; Nakaya, Helder I.; Yuan, Fan; Querec, Troy D. - In: Interfaces : the INFORMS journal on the practice of … 46 (2016) 5, pp. 368-390
Persistent link: https://www.econbiz.de/10011594717
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Predicting COVID-19 vaccine uptake
Pronkina, Elizaveta; Rees, Daniel I. - 2022
Although COVID-19 vaccines are safe and effective, many adults are hesitant or unwilling to use them. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona survey, we examine the correlates of vaccine uptake among Europeans ages 50 and older. We find that...
Persistent link: https://www.econbiz.de/10013414866
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COVID-19 : prediction, prevalence, and the operations of vaccine allocation
Bennouna, Amine; Joseph, Joshua; Nze-Ndong, David; … - In: Manufacturing & service operations management : M & SOM 25 (2023) 3, pp. 1013-1032
Persistent link: https://www.econbiz.de/10014302832
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A pandemic forecasting framework : an application of risk analysis
Dizioli, Allan Gloe; Greenwood, Daniel Rivera; … - 2021
explain the epidemic development in the UK, the USA and Brazil through the model lens. Moreover, we show how our model would … have predicted that a super infectious variant, such as the delta, would spread and argue that current vaccination levels …
Persistent link: https://www.econbiz.de/10012796794
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Forecasting the effective reproduction number during a pandemic : COVID-19 Rt forecasts, governmental decisions and economic implications
Vasilakis, Chrysovalantis; Nikolopoulos, Konstantinos - In: IMA journal of management mathematics 35 (2024) 1, pp. 65-81
Persistent link: https://www.econbiz.de/10014526102
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Covid-19 and output in Japan
Fujii, Daisuke; Nakata, Taisuke - 2021
Persistent link: https://www.econbiz.de/10014375416
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Covid-19 and output in Japan
Fujii, Daisuke; Nakata, Taisuke - 2021 - First draft: January 2021
Persistent link: https://www.econbiz.de/10012616198
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Forecasting the spread of SARS-CoV-2 is inherently ambiguous given the current state of virus research
Koenen, M. F.; Balvert, M.; Brekelmans, Ruud; Fleuren, H. A. - 2020
Persistent link: https://www.econbiz.de/10012291910
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Testing the predictive accuracy of COVID-19 forecasts
Coroneo, Laura; Iacone, Fabrizio; Paccagnini, Alessia; … - In: International journal of forecasting 39 (2023) 2, pp. 606-622
Persistent link: https://www.econbiz.de/10014465074
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Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction
Bracher, Johannes; Held, Leonhard - In: International journal of forecasting 38 (2022) 3, pp. 1221-1233
Persistent link: https://www.econbiz.de/10013349779