scholarly journals Addressing the Linkages between Gender and Transport in Low- and Middle-Income Countries

2019 ◽  
Vol 11 (17) ◽  
pp. 4555 ◽  
Author(s):  
Tanu Priya Uteng ◽  
Jeff Turner
Keyword(s):  
Gender Equality ◽  
Millennium Development Goals ◽  
Smart Cities ◽  
Middle Income ◽  
Middle Income Countries ◽  
History Of ◽  
Development Goals ◽  
And Gender ◽  
Research And Policy ◽  
Low And Middle Income

The Millennium Development Goals (MDGs) specifies gender equality and sustainable development as their two central priorities. An area of critical importance for sustainable and gender-fair development is mobility and transport, which has so far been neglected and downplayed in research and policy making both at the national and global levels. Rooted in the history of the topic and the emerging ideas on smart, green and integrated transport, this paper presents a literature review of on gender and transport in the low- and middle-income countries. The paper presents a host of cross-cutting topics with a concentrated focus on spatial and transport planning. The paper further identifies existing research gaps and comments on the new conceptualizations on smart cities and smart mobilities in the Global South. Due attention is paid to intersections and synergies that can be created between different development sectors, emerging transport modes, data and modeling exercises, gender equality and sustainability.

scholarly journals Growth Characteristics of Four Low-and Middle-Income Countries Children Born just After the Millennium Development Goals

2021 ◽  
Author(s):  
Senahara Korsa Wake ◽  
Temesgen Zewotir ◽  
Essey Kebede Muluneh
Keyword(s):  
Early Childhood ◽  
Millennium Development Goals ◽  
Wealth Index ◽  
Height Growth ◽  
Household Size ◽  
Growth Characteristics ◽  
Middle Income ◽  
Middle Income Countries ◽  
Development Goals ◽  
Low And Middle Income

Introduction: Socioeconomic inequality among low- and middle-income countries has an immense impact on the growth characteristics of children. Consequently, the millennium development goals were established for action to fight poverty and reduce the health problems for most disadvantaged groups. Objectives: The objectives of this study were to investigate the growth characteristics and correlates of height growth among children in low- and middle-income countries. Methods: Data from the Young Lives study conducted in Ethiopia, India, Peru and Vietnam for 15 years were used. A linear mixed-effects fractional polynomial modeling approach was used to analyze the growth characteristics and to assess the determinants. Results: There was a significant growth difference in height among children in low- and middle-income countries. Children in Vietnam grew at a faster rate during the entire period considered (1-15 years). In four countries, children grew very quickly in early childhood and the growth rates slow down gradually during the consecutive years. The results show that factors such as gender, parents’ education, household size, wealth index, access to sanitation, fathers’ age and residence area are significantly associated with child growth. Conclusion: The functional relationship between height growth and time is nonlinear. Males are taller than females at an early childhood age. Children from the most educated father and mother had been taller than those from the least educated father and mother. The effect of the household wealth index is positive on height growth, while the effect of household size is negative.

scholarly journals Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning

2018 ◽  
Vol 7 (11) ◽  
pp. 448 ◽  
Author(s):  
Robert Chew ◽  
Kasey Jones ◽  
Jennifer Unangst ◽  
James Cajka ◽  
Justine Allpress ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Object Detection ◽  
Household Surveys ◽  
Building Structures ◽  
Middle Income ◽  
The Sustainable Development ◽  
Detection Model ◽  
Middle Income Countries ◽  
Development Goals ◽  
Low And Middle Income

While governments, researchers, and NGOs are exploring ways to leverage big data sources for sustainable development, household surveys are still a critical source of information for dozens of the 232 indicators for the Sustainable Development Goals (SDGs) in low- and middle-income countries (LMICs). Though some countries’ statistical agencies maintain databases of persons or households for sampling, conducting household surveys in LMICs is complicated due to incomplete, outdated, or inaccurate sampling frames. As a means to develop or update household listings in LMICs, this paper explores the use of machine learning models to detect and enumerate building structures directly from satellite imagery in the Kaduna state of Nigeria. Specifically, an object detection model was used to identify and locate buildings in satellite images. In the test set, the model attained a mean average precision (mAP) of 0.48 for detecting structures, with relatively higher values in areas with lower building density (mAP = 0.65). Furthermore, when model predictions were compared against recent household listings from fieldwork in Nigeria, the predictions showed high correlation with household coverage (Pearson = 0.70; Spearman = 0.81). With the need to produce comparable, scalable SDG indicators, this case study explores the feasibility and challenges of using object detection models to help develop timely enumerated household lists in LMICs.

scholarly journals Early Mathematics Counts: Promising Instructional Strategies from Low- and Middle-Income Countries

2018 ◽  
Author(s):  
Yasmin Sitabkhan ◽  
Linda M. Platas
Keyword(s):  
Instructional Strategies ◽  
Future Research ◽  
Mathematics Interventions ◽  
Middle Income ◽  
Early Mathematics ◽  
Middle Income Countries ◽  
Informal Mathematics ◽  
Early Grade ◽  
Research And Policy ◽  
Low And Middle Income

This occasional paper examines common instructional strategies in early-grade mathematics interventions through a review of studies in classrooms in low- and middle-income countries. Twenty-four studies met the criteria for inclusion, and analyses reveal four sets of instructional strategies for which there is evidence from multiple contexts. Of the 24 studies, 16 involved the use of multiple representations, 10 involved the use of developmental progressions, 6 included supporting student use of explanation and justification, and 5 included integration of informal mathematics. Based on the review, we provide conclusions and recommendations for future research and policy.

Maternal morbidity

2018 ◽  
pp. 112-116
Author(s):  
Mary McCauley ◽  
Nynke van den Broek
Keyword(s):  
Sustainable Development ◽  
Maternal Health ◽  
Maternal Mortality ◽  
Maternal Morbidity ◽  
Reproductive Age ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health And Wellbeing ◽  
Development Goals ◽  
Low And Middle Income

Maternal morbidity describes complications that have a significant effect on women during and after pregnancy, and are a leading cause of ill-health among women of reproductive age, especially in low- and middle-income countries. With the introduction of the new Sustainable Development Goals, the scope of global maternal health targets has been expanded, moving from a focus on preventing maternal mortality to formulating targets and emphasising the importance of maternal health and wellbeing. This chapter introduces the new concept of maternal morbidity, suggests how this relates to maternal mortality, and summarises what is known about the burden of maternal morbidity globally and what interventions and research are needed to improve maternal health during and after pregnancy, with an emphasis on the context of low- and middle-income countries.

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