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地球边缘大气密度时空特性分析 被引量:5
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作者 郭正雄 李文皓 张珩 《宇航学报》 EI CAS CSCD 北大核心 2012年第8期1177-1184,共8页
分析了地球边缘大气密度的时变特性及空间分布特性。从物理原因出发并基于NRLMSISE-00和MET-99大气模型计算随不同时空变量变化的相对大气密度,以说明各时空因素对地球边缘大气密度的影响程度。分析结果表明地球边缘大气密度具有较强的... 分析了地球边缘大气密度的时变特性及空间分布特性。从物理原因出发并基于NRLMSISE-00和MET-99大气模型计算随不同时空变量变化的相对大气密度,以说明各时空因素对地球边缘大气密度的影响程度。分析结果表明地球边缘大气密度具有较强的时变特性,昼夜和季节均对大气密度产生一定影响。空间特性表现为纬度对大气密度的影响明显,而经度影响微弱。季节不同导致纬度的影响程度不同,纬度因素在夏季和冬季的影响强于春秋。随着纬度的增加,季节对地球边缘大气密度的影响逐渐增强,而当地时间的影响呈减弱趋势。相比较而言,低纬区的昼夜波动强于季节波动,高纬区的季节波动强于昼夜波动。 展开更多
关键词 地球边缘大气 大气密度 时空特性 NRLMSISE-00 MET-99
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Assessing the effectiveness of quarantine measures during the COVID-19 pandemic in Chile using Bayesian structural time series models
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作者 Claudia Barría-Sandoval Guillermo Ferreira +1 位作者 Bernardo Lagos Carola Montecino Bacigalupo 《Infectious Disease Modelling》 2022年第4期625-636,共12页
Background:With the emergence of the COVID-19 pandemic,all existing health protocols were tested under the worst health crisis humanity has experienced since the Black Death in the 14th century.Countries in Latin Amer... Background:With the emergence of the COVID-19 pandemic,all existing health protocols were tested under the worst health crisis humanity has experienced since the Black Death in the 14th century.Countries in Latin America have been the epicenter of the COVID-19 pandemic,with more than 1.5 million people killed.Worldwide health measures have included quarantines,border closures,social distancing,and mask use,among others.In particular,Chile implemented total or partial quarantine measures depending on the number of infections in each region of the country.Therefore,it is necessary to study the effectiveness of these quarantines in relation to the public health measures implemented by government entities at the national level.Objective:The main objective of this study is to analyze the effectiveness of national-and region-level quarantines in Chile during the pandemic based on information published by the Chilean Ministry of Health,and answers to the following question are sought:Were quarantine measures in Chile effective during the COVID-19 pandemic?Methods:The causal effect between the rates of COVID-19 infections and the population rates in Phase 1 and Phase 2 quarantines in the period from March 2020 to March 2021 in different regions of Chile were evaluated using intervention analyses obtained through Bayesian structural time series models.In addition,the Kendall correlation coefficient obtained through the copula approach was used to evaluate the comovement between these rates.Results:In 75%of the Chilean regions under study(12 regions out of a total of 16),an effective Phase 1 quarantine,which was implemented to control and reduce the number of cases of COVID-19 infection,was observed.The main regions that experienced a decrease in cases were those located in the north and center of Chile.Regarding Phase 2,the COVID-19 pandemic was effectively managed in 31%(5 out of 16)of the regions.In the southcentral and extreme southern regions of Chile,the effectiveness of these phases was null.Conclusion:The findings indicate that in the northern and central regions of Chile,the Phase 1 quarantine application period was an effective strategy to prevent an increase in COVID-19 infections.The same observation was made with respect to Phase 2,which was effective in five regions of northern Chile;in the rest of the regions,the effectiveness of these phases was weak or null. 展开更多
关键词 COMOVEMENT Bayesian time series models Novel coronavirus 2010 MSC 00e01 99-00
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