scholarly journals Temperature Variation and Heat Wave and Cold Spell Impacts on Years of Life Lost Among the Urban Poor Population of Nairobi, Kenya

2015 ◽  
Vol 12 (3) ◽  
pp. 2735-2748 ◽  
Author(s):  
Thaddaeus Egondi ◽  
Catherine Kyobutungi ◽  
Joacim Rocklöv
Keyword(s):  
Temperature Variation ◽  
Heat Wave ◽  
Urban Poor ◽  
Years Of Life Lost ◽  
Cold Spell ◽  
Poor Population

100 Days Outcome of Severe Wasting in Hospitalized Infants < 6 Months Age

2021 ◽  
pp. 1-21
Author(s):  
Jai Prakash Patel ◽  
Rajesh Kumar Meena ◽  
Dheeraj Shah ◽  
Piyush Gupta
Keyword(s):  
Urban Poor ◽  
Prospective Observational Study ◽  
Close Monitoring ◽  
Z Score ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Medical College ◽  
Discharge From Hospital ◽  
Poor Population

Abstract Objective: To assess the outcome of severe wasting in infants below 6 months of age Design: A prospective observational study conducted between January 2017 to October 2018 Setting: A medical-college affiliated hospital in Eastern Delhi, catering mainly to the urban poor population Participants: All children with severe wasting (weight-for-length Z score (WLZ) < -3 SD) between 1 to 6 months age, requiring hospitalization Results: Out of 50 children enrolled, during hospitalization, 42 (84%) recovered (weight-for-length Z score (WLZ) > -3 SD) and discharged; the median (IQR) duration of stay was 9.5 (6.5, 13.0) days. After 100 days of enrolment, sustained cure (WLZ > -2SD) could be achieved in only 15 (30%) infants, while another 14 (28%) recovered from severe wasting, but remained in moderately wasted state (WLZ between -2 to -3 SD). Overall, there were 3 (6%) deaths (all during first week of hospitalization); 3 (6%) relapses and 15 (30%) defaulters (5, 5, 2, 1 and 2 defaulted during hospitalization, at day 15, day 60, day 75 and day 90, respectively). Conclusions: The overall recovery rate from severe wasting in infants below 6 months was below the acceptable levels. In order to achieve better long-term outcome, community linkage services after discharge from hospital are required for supervised feeding, close monitoring and supportive care.

scholarly journals Reliability Framework for Characterizing Heat Wave and Cold Spell Events

2021 ◽  
Keyword(s):  
Heat Wave ◽  
Full Text ◽  
Cold Spell

Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

scholarly journals A Cross Sectional Assessment Of Knowledge Towards Diabetes Mellitus Among Urban Poor Population Of Penang, Malaysia

2013 ◽  
Vol 16 (3) ◽  
pp. A170
Author(s):  
M.A. Hassali ◽  
F. Saleem ◽  
G.N. Chua ◽  
N. Haq ◽  
H. Aljadhey
Keyword(s):  
Diabetes Mellitus ◽  
Urban Poor ◽  
Cross Sectional ◽  
Poor Population

scholarly journals Emergence of an Invasive Clone of Nontoxigenic Corynebacterium diphtheriae in the Urban Poor Population of Vancouver, Canada

2006 ◽  
Vol 44 (5) ◽  
pp. 1625-1629 ◽  
Author(s):  
M. G. Romney ◽  
D. L. Roscoe ◽  
K. Bernard ◽  
S. Lai ◽  
A. Efstratiou ◽  
...  
Keyword(s):  
Urban Poor ◽  
Corynebacterium Diphtheriae ◽  
Poor Population

Subcultural Variations in an Urban Poor Population

1971 ◽  
Vol 73 (1) ◽  
pp. 128-143 ◽  
Author(s):  
Norman J. Johnson ◽  
Peggy R. Sanday
Keyword(s):  
Urban Poor ◽  
Poor Population

scholarly journals Reliability Framework for Characterizing Heat Wave and Cold Spell Events

2021 ◽  
Author(s):  
Sanaz Moghim ◽  
Mohammad Sina Jahangir
Keyword(s):  
Heat Wave ◽  
Heat Waves ◽  
Probability Distributions ◽  
Extreme Temperature ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Average Intensity ◽  
Cold Spell ◽  
Weather Events ◽  
Two Cities

Abstract Extreme weather events such as heat waves and cold spells affect people’s lives. This study uses a probabilistic framework to evaluate heat waves and cold spells in different regions (Tehran in Iran and Vancouver in Canada). Average daily temperatures of meteorological stations of the two cities from 1995 to 2016 are used to identify four main indicators including intensity, average intensity, duration, and the rate of the occurrence. In addition, average intensities of the events are obtained from the MODIS Land Surface Temperature (LST) in each pixel of the two cities. To include possible uncertainties, the predictive probability distributions of the intensity and duration are derived using a Bayesian scheme and Monte-Carlo Markov Chain (MCMC) method. The probability distributions of the indicators show that the most extreme temperature (lowest temperature) occurs during the cold spell. Results indicate that although Tehran is more probable to experience heat waves than Vancouver, both cities are more likely to be affected by the cold spell than the heat wave. The developed approach can be used to characterize other extreme weather events in any location.

scholarly journals Pengaruh Urbanisasi Terhadap Penurunan Kemiskinan di Indonesia

2020 ◽  
Vol 8 (3) ◽  
pp. 290-306
Author(s):  
Zara Hadijah ◽  
Mohammad Isnaini Sadali
Keyword(s):  
Urban Poor ◽  
Poverty Reduction ◽  
Negative Relationship ◽  
Secondary Data ◽  
Economic Benefits ◽  
Population Census ◽  
Rural Poor ◽  
Population Variable ◽  
Per Capita ◽  
Poor Population

Urbanization and poverty are two important aspects closely linked to sustainable development goals. Urbanization in Indonesia is still far from improving migrant welfare as well as their destination regions. Every 1% growth of urbanization in Indonesia can only increase 4% of GDP per capita. Low economic benefits resulted from urbanization in Indonesia merely shift rural poor to become urban poor. The purpose of this study was to analyze the effect of urbanization on poverty reduction in Indonesia, both in the regional aggregate and at the rural and urban levels as the origin and destination regions of urbanization. This study used secondary data of population and poverty from Population Census (SP), the Inter-Census Population Survey (SUPAS), and the National Socio-Economic Survey (SUSENAS). Data analysis was performed using regionalization techniques, Primacy Index, Lorenz Curve, Geographic Information System (GIS), and simple linear regression. The results showed that the rate of urbanization had a positive relationship with per capita income and the population of urban poor, but had a negative relationship with the population of rural poor. A unit increase in urban population variable percentage would increase the average GDP/capita variable by 0,466. This would be followed by an increase in the average urban poor population variable by 0,447 and a reduction in the average rural poor population variable by 0,705.

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