Spatial and temporal trends in land surface moisture and temperature observable using data from the Nimbus-7 microwave radiometer

2002 ◽  
Author(s):  
E.G. Njoku ◽  
B.W. Rague
Keyword(s):  
Land Surface ◽  
Microwave Radiometer ◽  
Temporal Trends ◽  
Surface Moisture ◽  
Using Data ◽  
Spatial And Temporal Trends

scholarly journals CHARACTERIZING SPATIAL AND TEMPORAL TRENDS OF SOIL AND SURFACE PROPERTIES CHANGES IN AN AREA WITH URBAN, BARE SOIL AND WETLAND COVERS: A 30-YEAR CASE STUDY IN GOMISHAN, IRAN

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 51-56
Author(s):  
S. K. Alavipanah ◽  
M. Konyushkova ◽  
S. Hamzeh ◽  
A. A. Kakroodi ◽  
A. Heidari ◽  
...  
Keyword(s):  
Surface Properties ◽  
Vegetation Cover ◽  
Land Surface ◽  
Single Channel ◽  
Temporal Trends ◽  
Remote Sensing Data ◽  
Bare Soil ◽  
Temporal Variations ◽  
Landsat Images ◽  
Spatial And Temporal Trends

Abstract. Climate is one most important factors that can reconstructs the formation of soils. Accordingly, the objective of this study is characterizing spatial and temporal trends of soil and surface properties changes in Gomishan region during the period of 2017–1987. For this purpose, 432 monthly product of LST (MOD11C3) and vegetation cover (MOD13C2) of MODIS sensor and 3 Landsat images were used. Single-channel algorithm and various spectral indexes were used to modeling of Land surface temperature (LST) and surface properties including brightness, greenness, wetness and salinity. Then, based on the soil line analyse, pixels with the full cover of soil were extracted. Finally, trend of LST and surface properties variations were investigated for these pixels and whole studied area. The average of LST and vegetation cover changes in January, February, March and April are higher than other months. The variance of LST and surface properties for Gomishan wetland was higher than other regions of the studied area. The values of Soil salinity index in 2000 year was higher than 1987 and 2017 years. The LST of pixels with full cover of soil in the north of study area was higher than the south. Also, wetness of these pixels in the northern regions is lower than the southern regions of the study area. The results of study indicate, spatial and temporal variations of the surface properties of the Gomishan area derived from remote-sensing data were high.

Modelling In-Patient Bed Usage Behaviour in a Department of Geriatric Medicine

1993 ◽  
Vol 32 (01) ◽  
pp. 79-81 ◽  
Author(s):  
P. Millard ◽  
S. McClean
Keyword(s):  
Census Data ◽  
Geriatric Medicine ◽  
Temporal Trends ◽  
Exponential Model ◽  
Bed Occupancy ◽  
Lengths Of Stay ◽  
Geriatric Hospital ◽  
Using Data ◽  
Acute Patients

Abstract:The flow of patients through geriatric hospitals has been previously described in terms of acute and long-stay states where the bed occupancy at a census point is modelled by a mixed exponential model. Using data for sixteen years the model was fitted to successive annual census points, in order to provide a description of temporal trends. While the number of acute patients has remained fairly stable during the period, the model shows that there has been a decrease in the number of long-stay patients. Mean lengths of stay in our geriatric hospital before death or discharge have decreased during the study period for both acute and long-stay patients.Using these fits of the mixed exponential model to census data, a method is provided for predicting future turnover of patients. These predictions are reasonably good, except when the turnover patterns go through a period of flux in which assumption of stability no longer holds. Overall, a methodology is presented which relates census analysis to the behaviour of admission cohorts, thus producing a means of predicting future behaviour of patients and identifying where there is a change in patterns.

scholarly journals Temporal trends and variation in out-of-pocket expenditures and patient cost sharing: evidence from a Chinese national survey 2011–2015

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Vicky Mengqi Qin ◽  
Yuting Zhang ◽  
Kee Seng Chia ◽  
Barbara McPake ◽  
Yang Zhao ◽  
...  
Keyword(s):  
Prescription Drugs ◽  
Cost Sharing ◽  
Temporal Trends ◽  
Absolute Amount ◽  
Financial Protection ◽  
Patient Cost ◽  
Older Chinese ◽  
Using Data ◽  
Reported Data ◽  
The Relationship

Abstract Objectives This study aims to examine: (1) temporal trends in the percentage of cost-sharing and amount of out-of-pocket expenditure (OOPE) from 2011 to 2015; (2) factors associated with cost-sharing and OOPE; and (3) the relationships between province-level economic development and cost-sharing and OOPE in China. Setting A total of 10,316 adults aged ≥45 years from China followed-up from 2011 to 2015 were included in the analysis. We measured two main outcome variables: (1) patient cost sharing, measured by the percentage of OOPE as total healthcare expenditure, and (2) absolute amount of OOPE. Results Based on self-reported data, we did not find substantial differences in the percentage of cost sharing, but a significant increase in the absolute amount of OOPE among the middle-aged and older Chinese between 2011 and 2015. The percentage of cost-sharing was considerably higher for outpatient than inpatient care, and the majority paid more than 80% of the total cost for prescription drugs. Provinces with higher GDP per capita tend to have lower cost-sharing and a higher OOPE than their counterparts, but the relationship for OOPE became insignificant after adjusting for individual factors. Conclusion Reducing out-of-pocket expenditure and patient cost sharing is required to improve financial protection from illness, especially for those with those with chronic conditions and reside in less developed regions in China. Ongoing monitoring of financial protection using data from various sources is warranted.

Spatial and temporal trends and effects of contaminants in the Canadian Arctic marine ecosystem: a review

1999 ◽  
Vol 230 (1-3) ◽  
pp. 83-144 ◽  
Author(s):  
D Muir ◽  
B Braune ◽  
B DeMarch ◽  
R Norstrom ◽  
R Wagemann ◽  
...  
Keyword(s):  
Marine Ecosystem ◽  
Temporal Trends ◽  
Canadian Arctic ◽  
Spatial And Temporal Trends

scholarly journals Spatial Disparities of COVID-19 Cases and Fatalities in United States Counties

2021 ◽  
Vol 18 (16) ◽  
pp. 8259
Author(s):  
Sarah L. Jackson ◽  
Sahar Derakhshan ◽  
Leah Blackwood ◽  
Logan Lee ◽  
Qian Huang ◽  
...  
Keyword(s):  
United States ◽  
Great Plains ◽  
Explanatory Power ◽  
Temporal Trends ◽  
The United States ◽  
First Year ◽  
Significant Case ◽  
Urban Rural ◽  
Spatial And Temporal Trends ◽  
Mitigation Policies

This paper examines the spatial and temporal trends in county-level COVID-19 cases and fatalities in the United States during the first year of the pandemic (January 2020–January 2021). Statistical and geospatial analyses highlight greater impacts in the Great Plains, Southwestern and Southern regions based on cases and fatalities per 100,000 population. Significant case and fatality spatial clusters were most prevalent between November 2020 and January 2021. Distinct urban–rural differences in COVID-19 experiences uncovered higher rural cases and fatalities per 100,000 population and fewer government mitigation actions enacted in rural counties. High levels of social vulnerability and the absence of mitigation policies were significantly associated with higher fatalities, while existing community resilience had more influential spatial explanatory power. Using differences in percentage unemployment changes between 2019 and 2020 as a proxy for pre-emergent recovery revealed urban counties were hit harder in the early months of the pandemic, corresponding with imposed government mitigation policies. This longitudinal, place-based study confirms some early urban–rural patterns initially observed in the pandemic, as well as the disparate COVID-19 experiences among socially vulnerable populations. The results are critical in identifying geographic disparities in COVID-19 exposures and outcomes and providing the evidentiary basis for targeting pandemic recovery.

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