scholarly journals Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs)

2020 ◽  
Vol 9 (5) ◽  
pp. 80 ◽  
Author(s):  
Dana R. Thomson ◽  
Monika Kuffer ◽  
Gianluca Boo ◽  
Beatrice Hati ◽  
Tais Grippa ◽  
...  

Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely siloed, and each fall short of producing accurate, timely, and comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human (visual) interpretation and machine classification of air or spaceborne imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of public services. We summarize common areas of understanding, and present a set of requirements and a framework to produce routine, accurate maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making across Low- and Middle-Income Countries (LMICs). We suggest that machine learning models be extended to incorporate social area-level covariates and regular contributions of up-to-date and context-relevant field-based classification of deprived urban areas.

Author(s):  
Dana Thomson ◽  
Monika Kuffer ◽  
Gianluca Boo ◽  
Beatrice Hati ◽  
Tais Grippa ◽  
...  

Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human interpretation and machine classification of satellite, aerial, or drone imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.


Author(s):  
Dana Thomson ◽  
Monika Kuffer ◽  
Gianluca Boo ◽  
Beatrice Hati ◽  
Tais Grippa ◽  
...  

Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human interpretation and machine classification of satellite, aerial, or drone imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.


Author(s):  
Dana Thomson ◽  
Monika Kuffer ◽  
Gianluca Boo ◽  
Beatrice Hati ◽  
Tais Grippa ◽  
...  

Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will reside in deprived neighborhoods defined by slum conditions, informal settlement, or inadequate housing. The four current approaches to neighborhood deprivation mapping are largely silo-ed, and each fall short of producing accurate, timely, comparable maps that reflect local contexts. The first approach, classifying “slum households” in census and survey data and aggregating to administrative areas, reflects household-level rather than neighborhood-level deprivation. The second approach, field-based mapping, can produce the most accurate and context-relevant maps for a given neighborhood, however it requires substantial resources, preventing up-scaling. The third and fourth approaches, human interpretation and machine classification of satellite, aerial, or drone imagery, both overemphasize informal settlements, and fail to represent key social characteristics of deprived areas such as lack of tenure, exposure to pollution, and lack of basic public services. The latter, machine classification of imagery, can be automated and extended to incorporate new and multiple sources of data. This diverse collection of authors represent experts from these four approaches to neighborhood deprivation mapping. We summarize common areas of understanding, and present a set of requirements to produce maps of deprived urban areas that can be used by local-to-international stakeholders for advocacy, planning, and decision-making.


2021 ◽  
pp. 33-46
Author(s):  
Than Sein

The history and development of public health in low- and middle-income countries (LMICs) shows that important breakthroughs in public health interventions have led to great improvements in economic development. Health determines economic productivity and prosperity, and the physical and emotional well- being of the people. The mindset of the population afflicted with a high infant mortality rate usually lacks the secure knowledge of its children’s longevity, witnesses higher fertility rates, and experiences the quality- quantity trade- off in child- rearing. Ever since the health- for- all movement was initiated over three decades ago, health, equity, and social justice remain the main themes of social and health policy. It is essential for all public health professionals to sustain these values, especially those in LMICs and the international community.


2020 ◽  
Vol 35 (8) ◽  
pp. 1110-1129
Author(s):  
Atsede Aregay ◽  
Margaret O’Connor ◽  
Jill Stow ◽  
Nicola Ayers ◽  
Susan Lee

Abstract Globally, 40 million people need palliative care; about 69% are people over 60 years of age. The highest proportion (78%) of adults are from low- and middle-income countries (LMICs), where palliative care still developing and is primarily limited to urban areas. This integrative review describes strategies used by LMICs to establish palliative care in rural areas. A rigorous integrative review methodology was utilized using four electronic databases (Ovid MEDLINE, Ovid Emcare, Embase classic+Embase and CINAHL). The search terms were: ‘palliative care’, ‘hospice care’, ‘end of life care’, ‘home-based care’, ‘volunteer’, ‘rural’, ‘regional’, ‘remote’ and ‘developing countries’ identified by the United Nations (UN) as ‘Africa’, ‘Sub-Saharan Africa’, ‘low-income’ and ‘middle- income countries’. Thirty papers published in English from 1990 to 2019 were included. Papers were appraised for quality and extracted data subjected to analysis using a public health model (policy, drug availability, education and implementation) as a framework to describe strategies for establishing palliative care in rural areas. The methodological quality of the reviewed papers was low, with 7 of the 30 being simple programme descriptions. Despite the inclusion of palliative care in national health policy in some countries, implementation in the community was often reliant on advocacy and financial support from non-government organizations. Networking to coordinate care and medication availability near-patient homes were essential features of implementation. Training, role play, education and mentorship were strategies used to support health providers and volunteers. Home- and community-based palliative care services for rural LMICs communities may best be delivered using a networked service among health professionals, community volunteers, religious leaders and technology.


2020 ◽  
Author(s):  
Luisa Arroyave ◽  
Ghada E Saad ◽  
Cesar G Victora ◽  
Aluisio J D Barros

Abstract Background: Antenatal care (ANC) is an essential intervention associated with a reduction of maternal and new-born morbidity and mortality. However, evidence suggested substantial inequalities in maternal and child health, mainly in low- and middle-income countries (LMICs). We aimed to conduct a global analysis of socioeconomic inequalities in ANC using national surveys from LMICs.Methods: ANC was measured using the ANCq, a novel content-qualified ANC coverage indicator, created and validated using national surveys, based upon contact with the health services and content of care received. We performed stratified analysis to explore the socioeconomic inequalities in ANCq. We also estimated the slope index of inequality, which measures the difference in coverage along the wealth spectrum. Results: We analyzed 63 national surveys carried out from 2010 to 2017. There were large inequalities between and within countries. Higher ANCq scores were observed among women living in urban areas, with secondary or more level of education, belonging to wealthier families and with higher empowerment in nearly all countries. Countries with higher ANCq mean presented lower inequalities; while countries with average ANCq scores presented wide range of inequality, with some managing to achieve very low inequality.Conclusions: Despite all efforts in ANC programs, important inequalities in coverage and quality of ANC services persist. If maternal and child mortality Sustainable Development Goals are to be achieved, those gaps we documented must be bridged.


Author(s):  
Brian Wahl ◽  
Susanna Lehtimaki ◽  
Stefan Germann ◽  
Nina Schwalbe

Abstract Community health worker (CHW) programmes have been used for decades to improve access to health services in rural settings in low- and middle-income countries. With more than half of the world’s population currently living in urban areas and this population expected to grow, equitable access to health services in urban areas is critically important. To understand the extent to which CHW programmes have been successfully deployed in low-income urban settings, we conducted a review of the literature between 2000 and 2018 to identify studies evaluating and describing CHW programmes implemented fully or partially in urban or peri-urban settings. We identified 32 peer-reviewed articles that met our inclusion criteria. Benefits have been documented in several urban settings in low- and middle-income countries including those to address TB/HIV, child health, maternal health and non-communicable diseases through a variety of study designs.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Luisa Arroyave ◽  
Ghada E. Saad ◽  
Cesar G. Victora ◽  
Aluisio J. D. Barros

Abstract Background Antenatal care (ANC) is an essential intervention associated with a reduction of maternal and new-born morbidity and mortality. However, evidence suggested substantial inequalities in maternal and child health, mainly in low- and middle-income countries (LMICs). We aimed to conduct a global analysis of socioeconomic inequalities in ANC using national surveys from LMICs. Methods ANC was measured using the ANCq, a novel content-qualified ANC coverage indicator, created and validated using national surveys, based upon contact with the health services and content of care received. We performed stratified analysis to explore the socioeconomic inequalities in ANCq. We also estimated the slope index of inequality, which measures the difference in coverage along the wealth spectrum. Results We analyzed 63 national surveys carried out from 2010 to 2017. There were large inequalities between and within countries. Higher ANCq scores were observed among women living in urban areas, with secondary or more level of education, belonging to wealthier families and with higher empowerment in nearly all countries. Countries with higher ANCq mean presented lower inequalities; while countries with average ANCq scores presented wide range of inequality, with some managing to achieve very low inequality. Conclusions Despite all efforts in ANC programs, important inequalities in coverage and quality of ANC services persist. If maternal and child mortality Sustainable Development Goals are to be achieved, those gaps we documented must be bridged.


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