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 …

Background Household survey data are collected by governments, international
organizations, and companies to prioritize policies and allocate billions of dollars. Surveys …

Background Nonrandom sampling of populations in developing nations has limitations and
can inaccurately estimate health phenomena, especially among hard-to-reach populations …

Abstract Background Most studies among Hispanics have focused on individual risk factors
of obesity, with less attention on interpersonal, community and environmental determinants …

In two-stage cluster surveys, the traditional method used in second-stage sampling (in which
the first household in a cluster is selected) is time-consuming and may result in biased …

Global gridded population data are increasingly being applied to a broad range of fields.
This article presents improvements made in the fourth version of the Gridded Population of …

Background Conducting surveys in low-and middle-income countries is often challenging
because many areas lack a complete sampling frame, have outdated census information, or …

Background The increasing availability of online maps, satellite imagery, and digital
technology can ease common constraints of survey sampling in low-and middle-income …

The recent advances in global position systems (GPS), geographic information systems
(GIS), and remote sensing (RS) can be exploited for spatial sampling design for …

Disaggregated population counts are needed to calculate health, economic, and
development indicators in Low-and Middle-Income Countries (LMICs), especially in settings …