publication . Preprint . 2021

An ensemble model based on early predictors to forecast COVID-19 healthcare demand in France

Paireau, Juliette; Andronico, Alessio; Hozé, Nathanaël; Layan, Maylis; Crepey, Pascal; Roumagnac, Alix; Lavielle, Marc; Boëlle, Pierre-Yves; Cauchemez, Simon;
  • Published: 01 Feb 2021
  • Publisher: HAL CCSD
  • Country: France
Short-term forecasting of the COVID-19 pandemic is required to facilitate the planning of COVID-19 healthcare demand in hospitals. Here, we evaluate the performance of 12 individual models and 19 predictors to anticipate French COVID-19 related healthcare needs from September 7th 2020 to March 6th 2021. We then build an ensemble model by combining the individual forecasts and test this model from March 7th to July 6th 2021. We find that inclusion of early predictors (epidemiological, mobility and meteorological predictors) can halve the root mean square error for 14-day ahead forecasts, with epidemiological and mobility predictors contributing the most to the improvement. On average, the ensemble model is the best or second best model, depending on the evaluation metric. Our approach facilitates the comparison and benchmarking of competing models through their integration in a coherent analytical framework, ensuring avenues for future improvements can be identified.
free text keywords: [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
17 references, page 1 of 2

1. S. Funk, et al., Short-term forecasts to inform the response to the Covid-19 epidemic in the UK. medRxiv, 2020.11.11.20220962 (2020).

2. P. Mecenas, R. T. da Rosa Moreira Bastos, A. C. R. Vallinoto, D. Normando, Effects of temperature and humidity on the spread of COVID-19: A systematic review. PLoS One 15, e0238339 (2020).

3. Á. Briz-Redón, Á. Serrano-Aroca, The effect of climate on the spread of the COVID-19 pandemic: A review of findings, and statistical and modelling techniques. Progress in Physical Geography: Earth and Environment 44, 591-604 (2020).

4. M. U. G. Kraemer, et al., The effect of human mobility and control measures on the COVID19 epidemic in China. Science 368, 493-497 (2020).

5. J. Landier, et al., Colder and drier winter conditions are associated with greater SARS-CoV2 transmission: a regional study of the first epidemic wave in north-west hemisphere countries. medRxiv, 2021.01.26.21250475 (2021).

6. A. Roumagnac, E. De Carvalho, R. Bertrand, A.-K. Banchereau, G. Lahache, Étude de l'influence potentielle de l'humidité et de la température dans la propagation de la pandémie COVID-19. Medecine De Catastrophe, Urgences Collectives (2021) https:/ (February 3, 2021).

7. H. Salje, et al., Estimating the burden of SARS-CoV-2 in France. Science 369, 208-211 (2020). [OpenAIRE]

8. Ferguson NM, Laydon D, Nedjati-Gilani G, Imai N, Ainslie K, Baguelin M, Bhatia S, Boonyasiri A, Cucunubá Z, Cuomo-Dannenburg G, Dighe A, Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College COVID-19 Response Team (March, 16 2020) https:/

9. M. A. Johansson, et al., An open challenge to advance probabilistic forecasting for dengue epidemics. Proc. Natl. Acad. Sci. U. S. A. 116, 24268-24274 (2019). [OpenAIRE]

10. N. G. Reich, et al., Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. PLoS Comput. Biol. 15, e1007486 (2019).

11. C. Viboud, et al., The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt. Epidemics 22, 13-21 (2018). [OpenAIRE]

12. E. Y. Cramer, et al., Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US. medRxiv, 2021.02.03.21250974 (2021).

13. E. Volz, et al., Transmission of SARS-CoV-2 Lineage B.1.1.7 in England: Insights from linking epidemiological and genetic data. medRxiv, 2020.12.30.20249034 (2021).

14. R. Polikar, Ensemble based systems in decision making. IEEE Circuits and Systems Magazine 6, 21-45 (2006). [OpenAIRE]

15. E. L. Ray, et al., Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S. medRxiv, 2020.08.19.20177493 (2020).

17 references, page 1 of 2
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