Childhood Malnutrition in Egypt using Geoadditive Gaussian and Latent Variable Models

Khatab, Khaled

doi:10.4269/ajtmh.2010.09-0501

Cited by 36 publications

(30 citation statements)

References 16 publications

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“…The sociodemographic background reflects that of undernourished children reported from Botswana 7 and other developing countries in that the majority of caregivers were single mothers (78%) 7,11 from lowincome households (96%), 12-14 large families (>5 members) (73%) 12,14 and rural areas (71%). 15 In contrast to studies by Chakraborty et al, 16 Turyashemererwa et al 17 and Janevic et al, 13 which reported an association between poor educational background of the caregiver and child undernutrition, most caregivers (65.3%) in our study had attained a higher level of education (secondary/tertiary education). At a population level, the South African National Food Consumption Survey 18 found that nationally the prevalence of undernutrition decreased significantly with increasing maternal education levels.…”

Section: Discussioncontrasting

confidence: 53%

The clinical and anthropometric profile of undernourished children aged under 5 admitted to Nyangabgwe Referral Hospital in Botswana

2012

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Background. Although Botswana is a middle-income country, undernutrition among children younger than 5 years of age is still seen in various parts of the country. There is little information on the clinical and anthropometric profile of undernourished children in this age group admitted to hospitals in Francistown, Botswana. Purpose. To determine the clinical profile and the severity of anthropometric failure of undernourished children aged under 5 admitted to Nyangabgwe Referral Hospital in Francistown. Method. Data were collected from 113 caregiver-child pairs using a researcher-administered questionnaire targeting caregivers together with the children's hospital records. The children's anthropometric measurements were taken. Data were analysed using the WHO Anthro 2006 software and Stata 10. Proportions were then calculated. Results. The median age of the children was 14 months and 55% were boys. The majority of the caregivers were single, younger than 30 years and lived in rural villages. The most common symptoms on admission were oedema (50%) and coughing (35%). Ten per cent of the children were HIV-infected and the HIV status of half the children was unknown. The majority (87%) did not present with secondary diagnoses. Severe wasting (<-3 standard deviations (SD)) (73%) was found in all age groups. Stunting (<-2 SD) was prevalent in 68% of the boys, and 95% of the children were severely underweight (<-3 SD). Conclusion. Oedematous undernutrition was common and 73% of the children presented with severe wasting (<-3 SD). In order to prevent severe forms of undernutrition, avoid the necessity for complicated care and improve the chances of survival, health education to caregivers on various forms of undernutrition is crucial.S Afr J CH 2012;6(4):123-127.

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Section: Discussioncontrasting

confidence: 53%

The clinical and anthropometric profile of undernourished children aged under 5 admitted to Nyangabgwe Referral Hospital in Botswana

2012

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“…In addition to the use of kriging, the STAR model was able to analyze spatiotemporal data, including several covariates and smoothing functions using Markov random fields. Its use has been described in previous studies (Chien and Bangdiwala, 2012; Chiogna and Gaetan, 2010; Kandala et al, 2011; Khatab, 2010; Musio et al, 2010; Serio and Claudia, 2009; Wand et al, 2011). In other words, we used a time smoother and a Markov random field to consider spatiotemporal autocorrelations, and added the county-specific population to the offset in each model to obtain reliable estimates.…”

Section: Discussionmentioning

confidence: 99%

Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.

Chien

Schootman

2013

Spatial and Spatio-temporal Epidemiology

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This study identified geographic disparities in breast cancer mortality across the U.S. using kriging to overcome unavailability of data because of confidentiality and reliability concerns. A structured additive regression model was used to detect where breast cancer mortality rates were elevated across nine divisions with 3109 U.S. counties during 1982-2004. Our analysis identified at least 25.8% of counties where breast cancer mortality rates were elevated. High-risk counties compared to lower-risk counties had higher relative risks for African American women than for White women. Greater geographic disparities more likely present in African American women and younger women. To sum up, our statistical approach reduced the impact of unavailable data, and identified the number and location of counties with high breast cancer mortality risk by race and age across the United States.

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“…The results are reported in Fahrmeir (2009) andKhatab (2010). The results are reported in Fahrmeir (2009) andKhatab (2010).…”

Section: Selection Cariteriamentioning

confidence: 99%

“…The aim of the analysis is investigate the relationship between the indicators of diseases and the indicators of undernutrition in Egypt based on the analyses which have been presented in Khatab and Fahrmeir (2009) that focused on the childhood morbidity in Egypt, and Khatab (2010) that investigate childhood malnutrition in Egypt. The aim of the analysis is investigate the relationship between the indicators of diseases and the indicators of undernutrition in Egypt based on the analyses which have been presented in Khatab and Fahrmeir (2009) that focused on the childhood morbidity in Egypt, and Khatab (2010) that investigate childhood malnutrition in Egypt.…”

Section: Case Study Of Egyptmentioning

confidence: 99%

“…A background of the present study is reported in previous works (Khatab and Fahrmeir 2009;Khatab 2010). Effects of the different covariates on response variables diarrhea, fever, and cough (indicating child's health status) and stunting and underweight (indicating malnutrition status) were analysed using separate geoadditive latent variable models (Raach 2005;.…”

Section: Introductionmentioning

confidence: 99%

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Advanced Techniques for Modelling Maternal and Child Health in Africa

Kandala

Ghilagaber

2014

The Springer Series on Demographic Methods and Population Analysis

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In recent decades, there has been a rapid development of demographic models and methods and an explosive growth in the range of applications of population analysis. This series seeks to provide a publication outlet both for high-quality textual and expository books on modern techniques of demographic analysis and for works that present exemplary applications of such techniques to various aspects of population analysis.Topics appropriate for the series include:• General demographic methods This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paper SummaryThe estimation of levels, trends, and differentials in demographic and health outcomes in developing countries has, over the years, relied heavily on indirect methods that were devised to suit limited or deficient data. In recent decades, some worldwide surveys like the World Fertility Survey and its successor, the Demographic and Health Survey (DHS), have played an important role in filling the gap in the availability of survey data in developing countries. These surveys, conducted at enormous costs, are aimed at enabling investigators to make in-depth analyses that could guide policy intervention strategies. However, their utilization remains suboptimal, because optimal analyses of such data demand advanced statistical techniques.Since the use of DHS data in developing countries, many develop...

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Childhood Malnutrition in Egypt using Geoadditive Gaussian and Latent Variable Models

Cited by 36 publications

References 16 publications

The clinical and anthropometric profile of undernourished children aged under 5 admitted to Nyangabgwe Referral Hospital in Botswana

The clinical and anthropometric profile of undernourished children aged under 5 admitted to Nyangabgwe Referral Hospital in Botswana

Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.

Advanced Techniques for Modelling Maternal and Child Health in Africa

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