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您的检索式：作者名="M.Calabrese"
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| 1 | 乳腺癌病人乳腺MRI中的肌肉质量评估:CT腰肌面积与MRI胸肌面积的比较显示文摘目的在乳腺癌病人中评价CT成像的腰肌面积(TPA)与MR成像的胸肌面积(PMA)的相关性。方法该回顾性研究经机构伦理委员会批准,参与研究的女性均签署了书面知情同意书。 | F.Rossi F.Valdora E.Barabino M.Calabrese A.S.Tagliafico 李爽(译) 赵世华(校) | 2019 | 国际医学放射学杂志2019，0，2： | 2 |
| 2 | The relationship between controllability, optimal testing resource allocation, and incubation-latent period mismatch as revealed by COVID-19显示文摘The severe shortfall in testing supplies during the initial COVID-19 outbreak and ensuing struggle to manage the pandemic have affirmed the critical importance of optimal supplyconstrained resource allocation strategies for controlling novel disease epidemics.To address the challenge of constrained resource optimization for managing diseases with complications like pre-and asymptomatic transmission,we develop an integro partial differential equation compartmental disease model which incorporates realistic latent,incubation,and infectious period distributions along with limited testing supplies for identifying and quarantining infected individuals.Our model overcomes the limitations of typical ordinary differential equation compartmental models by decoupling symptom status from model compartments to allow a more realistic representation of symptom onset and presymptomatic transmission.To analyze the influence of these realistic features on disease controllability,we find optimal strategies for reducing total infection sizes that allocate limited testing resources between‘clinical’testing,which targets symptomatic individuals,and‘non-clinical’testing,which targets non-symptomatic individuals.We apply our model not only to the original,delta,and omicron COVID-19 variants,but also to generically parameterized disease systems with varying mismatches between latent and incubation period distributions,which permit varying degrees of presymptomatic transmission or symptom onset before infectiousness.We find that factors that decrease controllability generally call for reduced levels of non-clinical testing in optimal strategies,while the relationship between incubation-latent mismatch,controllability,and optimal strategies is complicated.In particular,though greater degrees of presymptomatic transmission reduce disease controllability,they may increase or decrease the role of nonclinical testing in optimal strategies depending on other disease factors like transmissibility and latent period length.Importantly,our model allows a spectrum of diseases to be compared within a consistent framework such that lessons learned from COVID-19 can be transferred to resource constrained scenarios in future emerging epidemics and analyzed for optimality. | Jeffery Demers William F.Fagan Sriya Potluri Justin M.Calabrese | 2023 | Infectious Disease Modelling2023，8，2： | 0 |
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