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| 1 | Compressive behavior of pervious concretes and a quantification of the influence of random pore structure features显示文摘 | DEO O NEITHALATH N | 2010 | Materials Science and Engineering A2010，528，1： | 1 |
| 2 | Permeability reduction in pervious concretes due to clogging: Experiments and modeling显示文摘 | DEO O SUMANASOORIYA M NEITHALATH N | 2010 | Journal of Materials in Civil Engineering ASCE2010，22，7： | 1 |
| 3 | Permeability Reduction in Pervious Concretes Due to Clogging: Experiments and Modeling 显示文摘 | DEO O SUMANASOORIYA M NEITHALATH N | 2010 | Journal of Materials in Civil Engineering2010，22，7： | 1 |
| 4 | Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins显示文摘 | Rozenblatt-Rosen O Deo R C Padi M | 2012 | Nature2012，487，7408： | 1 |
| 5 | Characterizing pore volume,sizes ,and connectivity in pervious concretes for permeability prediction显示文摘 | NEITHALATH N SUMANASOORIYA M S DEO O | 2010 | Materials Characterization2010，，61： | 1 |
| 6 | Interpreting cancer genomes using systematic host network perturba- tions by turnout virus proteins 显示文摘 | Rozenblatt-Rosen O Deo R C Padi M | 2012 | Nature2012，487，748： | 1 |
| 7 | Reliability-Based Channel Allocation Using Genetic Algorithm in Mobile Computing 显示文摘 | Lutfi M O K Deo P V | 2009 | IEEE Transactions on Vehicular2009，58，8： | 1 |
| 8 | A GA-based effective faulttolerant model for channel allocation in mobile computing显示文摘 | Lutfi M O K Deo P V | | 0，，03： | 1 |
| 9 | Permeability Reduction in Pervious Concretes due to Clogging:Experiments and Modeling显示文摘 | Deo O Sumanasooriya M Neithalath N | | 0，，07： | 1 |
| 10 | Compressive response of pervious concretes proportioned for desired porosities 显示文摘 | DEO O NEITHALATH N | 2011 | Construction and Building Materials2011，25，11： | 1 |
| 11 | Compressive behavior of pervious concretes and a quantification of the influence of random pore structure features显示文摘 | Deo O Neithalath N | 2010 | Materials Science and Engineering A2010，528，： | 1 |
| 12 | Characterizing Pore Volume,Sizes,and Connectivity in Pervious Concretes for Permeability Prediction显示文摘 | Neithalath N Sumanasooriya M.S Deo O | | 0，，08： | 1 |
| 13 | Heterogeneity in perceptions of servicequality among groups of railway passengers显示文摘 | deO?a J de O?a R Eboli L | 2015 | International Journal of Sustainable Transportation2015，，11： | 1 |
| 14 | Response to controlled ovarian stimulation and oocyte quality in women with myotonic dystro- phy type I显示文摘 | Sahu B Ozturk O Deo N | 2008 | J Assi Reprod Gene2008，25，1： | 1 |
| 15 | Interpre- ting cancer genomes using systematic host network perturbations by tumour virus proteins显示文摘 | Rozenblatt-Rosen O Deo R C Padi M | 2012 | Nature2012，487，7408： | 1 |
| 16 | Characterizing pore volume,sizes and connectivity in pervious concretes for permeability predictionc显示文摘 | Neithalath N Sumanasooriya M S Deo O | 2010 | Materials Characterization2010，61，8： | 1 |
| 17 | Permeability reduction in pervious concretes due to clogging:experiments and modeling显示文摘 | DEO O | 2010 | Journal of Materials in Civil Engineering2010，，7： | 1 |
| 18 | Association of latitude and altitude with adverse outcomes in patients with COVID-19: The VIRUS registry显示文摘BACKGROUND The coronavirus disease 2019(COVID-19)course may be affected by environmental factors.Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates.However,individual-level impact of these factors has not been thoroughly evaluated yet.AIM To study the association of climatological factors related to patient location with unfavorable outcomes in patients.METHODS In this observational analysis of the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study:COVID-19 Registry cohort,the latitudes and altitudes of hospitals were examined as a covariate for mortality within 28 d of admission and the length of hospital stay.Adjusting for baseline parameters and admission date,multivariable regression modeling was utilized.Generalized estimating equations were used to fit the models.RESULTS Twenty-two thousand one hundred eight patients from over 20 countries were evaluated.The median age was 62(interquartile range:49-74)years,and 54%of the included patients were males.The median age increased with increasing latitude as well as the frequency of comorbidities.Contrarily,the percentage of comorbidities was lower in elevated altitudes.Mortality within 28 d of hospital admission was found to be 25%.The median hospital-free days among all included patients was 20 d.Despite the significant linear relationship between mortality and hospital-free days(adjusted odds ratio(aOR)=1.39(1.04,1.86),P=0.025 for mortality within 28 d of admission;aOR=-1.47(-2.60,-0.33),P=0.011 for hospital-free days),suggesting that adverse patient outcomes were more common in locations further away from the Equator;the results were no longer significant when adjusted for baseline differences(aOR=1.32(1.00,1.74),P=0.051 for 28-day mortality;aOR=-1.07(-2.13,-0.01),P=0.050 for hospital-free days).When we looked at the altitude’s effect,we discovered that it demonstrated a non-linear association with mortality within 28 d of hospital admission(aOR=0.96(0.62,1.47),1.04(0.92,1.19),0.49(0.22,0.90),and 0.51(0.27,0.98),for the altitude points of 75 MASL,125 MASL,400 MASL,and 600 MASL,in comparison to the reference altitude of 148 m.a.s.l,respectively.P=0.001).We detected an association between latitude and 28-day mortality as well as hospital-free days in this worldwide study.When the baseline features were taken into account,however,this did not stay significant.CONCLUSION Our findings suggest that differences observed in previous epidemiological studies may be due to ecological fallacy rather than implying a causal relationship at the patient level. | Aysun Tekin Shahraz Qamar Romil Singh Vikas Bansal Mayank Sharma Allison M LeMahieu Andrew C Hanson Phillip J Schulte Marija Bogojevic Neha Deo Simon Zec Diana J Valencia Morales Katherine A Belden Smith F Heavner Margit Kaufman Sreekanth Cheruku Valerie C Danesh Valerie M Banner-Goodspeed Catherine A St Hill Amy B Christie Syed A Khan Lynn Retford Karen Boman Vishakha KKumar John C O'Horo Juan Pablo Domecq Allan J Walkey Ognjen Gajic Rahul Kashyap Salim Surani TheSociety of Critical Care Medicine(SCCM)Discovery Viral Infection and Respiratory Illness Universal Study(VIRUS):COVID-Registry Investigator Group | 2022 | World Journal of Critical Care Medicine2022，11，2： | 0 |
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