预测新冠肺炎在意大利的传播和重症监护病房的相关占用

IF 1 Q3 STATISTICS & PROBABILITY Journal of Probability and Statistics Pub Date : 2021-01-12 DOI:10.1155/2021/5982784
L. Fenga
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引用次数: 7

摘要

本文提供了一种基于模型的方法,用于预测意大利目前新冠肺炎阳性个体的总数和可用重症监护病房的入住率。获得的预测——在10的时间范围内 从3月29日开始的天数——将在全国范围内提供,并根据现象的严重程度制定标准。虽然受疫情影响最严重的地区被隔离,但受影响较小的地区被聚集成了同质的宏观区域。结果显示,在考虑的预测期内(3月29日至4月7日),意大利所有地区的新冠肺炎阳性人数都将减少。需要在重症监护室住院的人数也是如此。在政府现行遏制政策不变的情况下,这些估计是有效的。在这种情况下,北部地区仍然是受影响最严重的地区,而预计南部地区不会出现重大疫情。
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Forecasting the COVID-19 Diffusion in Italy and the Related Occupancy of Intensive Care Units
This paper provides a model-based method for the forecast of the total number of currently COVID-19 positive individuals and of the occupancy of the available intensive care units in Italy. The predictions obtained—for a time horizon of 10 days starting from March 29th—will be provided at a national as well as at a more disaggregated level, following a criterion based on the magnitude of the phenomenon. While those regions hit the most by the pandemic have been kept separated, those less affected regions have been aggregated into homogeneous macroareas. Results show that—within the forecast period considered (March 29th–April 7th)—all of the Italian regions will show a decreasing number of COVID-19 positive people. The same will be observed for the number of people who will need to be hospitalized in an intensive care unit. These estimates are valid under constancy of the government’s current containment policies. In this scenario, northern regions will remain the most affected ones, whereas no significant outbreaks are foreseen in the southern regions.
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来源期刊
Journal of Probability and Statistics
Journal of Probability and Statistics STATISTICS & PROBABILITY-
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0.00%
发文量
14
审稿时长
18 weeks
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