scholarly journals Gridded Population Survey Sampling: A Review of the Field and Strategic Research Agenda

2020 ◽  
Author(s):  
Dana R. Thomson ◽  
Dale A. Rhoda ◽  
Andrew J. Tatem ◽  
Marcia C. Castro
Keyword(s):  
Population Survey ◽  
Household Survey ◽  
R Package ◽  
Population Based ◽  
Survey Sampling ◽  
Population Estimates ◽  
Population Surveys ◽  
Middle Income ◽  
Middle Income Countries ◽  
Household Survey Data

Objective: In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than ten years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods: We performed a systematic review and identified 43 national and sub-national gridded population-based household surveys implemented across 29 LMICs. Findings: Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, many surveys interviewed all households in each cluster or segment, though some sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions: For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.

scholarly journals Gridded Population Survey Sampling: A Review of the Field and Strategic Research Agenda

2019 ◽  
Author(s):  
Dana R. Thomson ◽  
Dale A. Rhoda ◽  
Andrew J. Tatem ◽  
Marcia C. Castro
Keyword(s):  
Population Survey ◽  
Household Survey ◽  
R Package ◽  
Population Based ◽  
Survey Sampling ◽  
Population Estimates ◽  
Population Surveys ◽  
Middle Income ◽  
Middle Income Countries ◽  
Household Survey Data

Objective: In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than ten years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods: We performed a systematic review and identified 23 national and sub-national gridded population-based household surveys implemented across 18 LMICs. Findings: Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, many surveys interviewed all households in each cluster or segment, though some sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions: For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.

scholarly journals Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Dana R. Thomson ◽  
Dale A. Rhoda ◽  
Andrew J. Tatem ◽  
Marcia C. Castro
Keyword(s):  
Scoping Review ◽  
Population Survey ◽  
Household Survey ◽  
R Package ◽  
Population Based ◽  
Survey Sampling ◽  
Population Estimates ◽  
Population Surveys ◽  
Middle Income ◽  
Middle Income Countries

Abstract Introduction In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than 10 years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods We performed a systematic scoping review in Scopus of specific gridded population datasets and "population" or "household" "survey" reports, and solicited additional published and unpublished sources from colleagues. Results We identified 43 national and sub-national gridded population-based household surveys implemented across 29 LMICs. Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, some survey teams interviewed all households in each cluster or segment, and others sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.

scholarly journals Microestimates of wealth for all low- and middle-income countries

2022 ◽  
Vol 119 (3) ◽  
pp. e2113658119
Author(s):  
Guanghua Chi ◽  
Han Fang ◽  
Sourav Chatterjee ◽  
Joshua E. Blumenstock
Keyword(s):  
Survey Data ◽  
Household Survey ◽  
Heterogeneous Data ◽  
Machine Learning Algorithms ◽  
Middle Income ◽  
Middle Income Countries ◽  
Economic Development And Growth ◽  
Household Survey Data ◽  
Nationally Representative ◽  
Low And Middle Income

Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty maps are out of date or exist only at very coarse levels of granularity. Here we develop microestimates of the relative wealth and poverty of the populated surface of all 135 low- and middle-income countries (LMICs) at 2.4 km resolution. The estimates are built by applying machine-learning algorithms to vast and heterogeneous data from satellites, mobile phone networks, and topographic maps, as well as aggregated and deidentified connectivity data from Facebook. We train and calibrate the estimates using nationally representative household survey data from 56 LMICs and then validate their accuracy using four independent sources of household survey data from 18 countries. We also provide confidence intervals for each microestimate to facilitate responsible downstream use. These estimates are provided free for public use in the hope that they enable targeted policy response to the COVID-19 pandemic, provide the foundation for insights into the causes and consequences of economic development and growth, and promote responsible policymaking in support of sustainable development.

scholarly journals How to do (or not to do) … a health financing incidence analysis

2018 ◽  
Vol 33 (3) ◽  
pp. 436-444 ◽  
Author(s):  
John E Ataguba ◽  
Augustine D Asante ◽  
Supon Limwattananon ◽  
Virginia Wiseman
Keyword(s):  
Health Services ◽  
Survey Data ◽  
Household Survey ◽  
Health Financing ◽  
Financing System ◽  
Middle Income ◽  
Middle Income Countries ◽  
Cardinal Measure ◽  
Household Survey Data ◽  
Incidence Analysis

Abstract Financing incidence analysis (FIA) assesses how the burden of health financing is distributed in relation to household ability to pay (ATP). In a progressive financing system, poorer households contribute a smaller proportion of their ATP to finance health services compared to richer households. A system is regressive when the poor contribute proportionately more. Equitable health financing is often associated with progressivity. To conduct a comprehensive FIA, detailed household survey data containing reliable information on both a cardinal measure of household ATP and variables for extracting contributions to health services via taxes, health insurance and out-of-pocket (OOP) payments are required. Further, data on health financing mix are needed to assess overall FIA. Two major approaches to conducting FIA described in this article include the structural progressivity approach that assesses how the share of ATP (e.g. income) spent on health services varies by quantiles, and the effective progressivity approach that uses indices of progressivity such as the Kakwani index. This article provides some detailed practical steps for analysts to conduct FIA. This includes the data requirements, data sources, how to extract or estimate health payments from survey data and the methods for assessing FIA. It also discusses data deficiencies that are common in many low- and middle-income countries (LMICs). The results of FIA are useful in designing policies to achieve an equitable health system.

scholarly journals Suicide prevention in low- and middle-income countries: part perceptions, partial solutions

2017 ◽  
Vol 211 (5) ◽  
pp. 264-265 ◽  
Author(s):  
K. S. Jacob
Keyword(s):  
Public Health ◽  
Suicide Prevention ◽  
Cause Of Death ◽  
Population Based ◽  
Personal Distress ◽  
Public Health Perspective ◽  
Middle Income ◽  
Common Cause ◽  
Middle Income Countries ◽  
Low And Middle Income

SummarySuicide, a common cause of death in many low- and middle-income countries, has often been viewed through a medical/psychiatric lens. Such perspectives medicalise social and personal distress and suggest individual and medication-based treatments. This editorial argues for the need to examine suicide from a public health perspective and suggests the need for population-based social and economic interventions.

scholarly journals Early screening and diagnosis of autism spectrum disorders in Vietnam: A population-based cross-sectional survey

2021 ◽  
Author(s):  
Le Thi Vui ◽  
Duong Minh Duc ◽  
Nguyen Thuy Quynh ◽  
Nguyen Thi Huong Giang ◽  
Vu Thi Thanh Mai ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Early Detection ◽  
Public Health Problem ◽  
Population Based ◽  
Autism Spectrum ◽  
Urban Setting ◽  
Cross Sectional ◽  
Middle Income ◽  
Middle Income Countries ◽  
Spectrum Disorders

Background: Early detection of autism spectrum disorders (ASDs) is essential given the under-reported cases in low- and middle-income countries. This first national representative survey was conducted to explore the prevalence of ASDs amongst 18 and 30 months in seven provinces in Vietnam.Design and Method: During 2017- 2018, a national cross-sectional and population-based survey for autism spectrum disorder (ASD) amongst 40,243 children aged 18 to 30 months was conducted in 7 provinces representing the socio-economic regions of Vietnam. M-CHAT was used to screen children and then confirmed by diagnostic assessment using DSM-IV criteria.Results: The prevalence of ASDs amongst children aged 18 and 30 months in Vietnam was high (0.758% or 1 in 132 children). Urban setting, male gender, and hereditable genes were associated with ASD prevalence.Conclusion: ASDs amongst children aged 18 and 30 months in Vietnam tend to be increasing and are similar to this rate in other middle-income countries but lower than that in Western countries. This under-recognized public health problem amongst children should be addressed by early detection and intervention for families with affected children.

Human papillomavirus (HPV) vaccination: from clinical studies to immunization programs

2019 ◽  
Vol 29 (8) ◽  
pp. 1317-1326 ◽  
Author(s):  
Raúl Murillo ◽  
Camila Ordóñez- Reyes
Keyword(s):  
Cervical Cancer ◽  
Clinical Trials ◽  
Human Papillomavirus ◽  
Hpv Vaccine ◽  
Hpv Vaccination ◽  
Population Based ◽  
Immunization Programs ◽  
Hpv Vaccines ◽  
Middle Income ◽  
Middle Income Countries

Cervical cancer incidence and mortality have decreased in high-income countries, but low- and middle-income countries continue to bear a significant burden from the disease. Human papillomavirus (HPV) vaccines are a promising alternative for disease control; however, their introduction is slow in settings with greater need. We conducted a review of HPV vaccine efficacy and effectiveness reported in clinical trials and population-based studies. Efficacy of HPV vaccines is close to 100% when using a three-dose schedule in HPV-negative young women (<25 years old) for protection against persistent infection and HPV vaccine-type associated pre-cancerous lesions. Furthermore, sustained protection for up to 12 years of follow-up has been demonstrated; cross-protection against non-vaccine types is particularly observed for the bivalent vaccine, and preliminary data regarding impact on invasive cancer have emerged. Given its lower efficacy, catch-up vaccination beyond 19 years of age and proposals for vaccinating adult women deserve careful evaluation in accurately designed studies and economic analyses. Despite positive results regarding immunogenicity and post-hoc analysis for cervical intra-epithelial neoplasia in clinical trials, population-based data for prime and booster two-dose schedules are not available. Evaluation of vaccine safety from surveillance systems in immunization programs that have already distributed more than 270 million doses found no association of HPV vaccination with serious side effects. The introduction of HPV vaccination in national immunization programs remains the main challenge in tackling the burden of cervical cancer (up to 2018, only 89 countries have introduced vaccination worldwide, and most of these are high-income countries). Access models and technical capacity require further development to help low- and middle-income countries to increase the pace of vaccine delivery. Alternative approaches such as one-dose schedules and vaccination at younger ages may help reduce the programmatic and economic challenges to adolescent vaccination.

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