Making pastoralists count: Geospatial methods for the health surveillance of nomadic populations

Hannah Wild, Luke Glowacki, Stace Maples, Iván Mejía-Guevara, Amy Krystosik, Matthew H. Bonds, Abiy Hiruy, A. Desiree LaBeaud, Michele Barry

Research output: Contribution to journalArticle

Abstract

Nomadic pastoralists are among the world’s hardest-to-reach and least served populations. Pastoralist communities are difficult to capture in household surveys because of factors including their high degree of mobility over remote terrain, fluid domestic arrangements, and cultural barriers. Most surveys use census-based sampling frames which do not accurately capture the demographic and health parameters of nomadic populations. As a result, pastoralists are “invisible” in population data such as the Demographic and Health Surveys (DHS). By combining remote sensing and geospatial analysis, we developed a sampling strategy designed to capture the current distribution of nomadic populations. We then implemented this sampling frame to survey a population of mobile pastoralists in southwest Ethiopia, focusing on maternal and child health (MCH) indicators. Using standardized instruments from DHS questionnaires, we draw comparisons with regional and national data finding disparities with DHS data in core MCH indicators, including vaccination coverage, skilled birth attendance, and nutritional status. Our field validation demonstrates that this method is a logistically feasible alternative to conventional sampling frames and may be used at the population level. Geospatial sampling methods provide cost-affordable and logistically feasible strategies for sampling mobile populations, a crucial first step toward reaching these groups with health services.

Original languageEnglish (US)
Pages (from-to)661-669
Number of pages9
JournalAmerican Journal of Tropical Medicine and Hygiene
Volume101
Issue number3
DOIs
StatePublished - Jan 1 2019

Fingerprint

Population Surveillance
Demography
Health
Population
Ethiopia
Censuses
Nutritional Status
Health Services
Vaccination
Parturition
Costs and Cost Analysis
Surveys and Questionnaires

All Science Journal Classification (ASJC) codes

  • Parasitology
  • Virology
  • Infectious Diseases

Cite this

Wild, Hannah ; Glowacki, Luke ; Maples, Stace ; Mejía-Guevara, Iván ; Krystosik, Amy ; Bonds, Matthew H. ; Hiruy, Abiy ; LaBeaud, A. Desiree ; Barry, Michele. / Making pastoralists count : Geospatial methods for the health surveillance of nomadic populations. In: American Journal of Tropical Medicine and Hygiene. 2019 ; Vol. 101, No. 3. pp. 661-669.
@article{b389484ff11c40359cd9c2b284a0b517,
title = "Making pastoralists count: Geospatial methods for the health surveillance of nomadic populations",
abstract = "Nomadic pastoralists are among the world’s hardest-to-reach and least served populations. Pastoralist communities are difficult to capture in household surveys because of factors including their high degree of mobility over remote terrain, fluid domestic arrangements, and cultural barriers. Most surveys use census-based sampling frames which do not accurately capture the demographic and health parameters of nomadic populations. As a result, pastoralists are “invisible” in population data such as the Demographic and Health Surveys (DHS). By combining remote sensing and geospatial analysis, we developed a sampling strategy designed to capture the current distribution of nomadic populations. We then implemented this sampling frame to survey a population of mobile pastoralists in southwest Ethiopia, focusing on maternal and child health (MCH) indicators. Using standardized instruments from DHS questionnaires, we draw comparisons with regional and national data finding disparities with DHS data in core MCH indicators, including vaccination coverage, skilled birth attendance, and nutritional status. Our field validation demonstrates that this method is a logistically feasible alternative to conventional sampling frames and may be used at the population level. Geospatial sampling methods provide cost-affordable and logistically feasible strategies for sampling mobile populations, a crucial first step toward reaching these groups with health services.",
author = "Hannah Wild and Luke Glowacki and Stace Maples and Iv{\'a}n Mej{\'i}a-Guevara and Amy Krystosik and Bonds, {Matthew H.} and Abiy Hiruy and LaBeaud, {A. Desiree} and Michele Barry",
year = "2019",
month = "1",
day = "1",
doi = "10.4269/ajtmh.18-1009",
language = "English (US)",
volume = "101",
pages = "661--669",
journal = "American Journal of Tropical Medicine and Hygiene",
issn = "0002-9637",
publisher = "American Society of Tropical Medicine and Hygiene",
number = "3",

}

Wild, H, Glowacki, L, Maples, S, Mejía-Guevara, I, Krystosik, A, Bonds, MH, Hiruy, A, LaBeaud, AD & Barry, M 2019, 'Making pastoralists count: Geospatial methods for the health surveillance of nomadic populations', American Journal of Tropical Medicine and Hygiene, vol. 101, no. 3, pp. 661-669. https://doi.org/10.4269/ajtmh.18-1009

Making pastoralists count : Geospatial methods for the health surveillance of nomadic populations. / Wild, Hannah; Glowacki, Luke; Maples, Stace; Mejía-Guevara, Iván; Krystosik, Amy; Bonds, Matthew H.; Hiruy, Abiy; LaBeaud, A. Desiree; Barry, Michele.

In: American Journal of Tropical Medicine and Hygiene, Vol. 101, No. 3, 01.01.2019, p. 661-669.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Making pastoralists count

T2 - Geospatial methods for the health surveillance of nomadic populations

AU - Wild, Hannah

AU - Glowacki, Luke

AU - Maples, Stace

AU - Mejía-Guevara, Iván

AU - Krystosik, Amy

AU - Bonds, Matthew H.

AU - Hiruy, Abiy

AU - LaBeaud, A. Desiree

AU - Barry, Michele

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Nomadic pastoralists are among the world’s hardest-to-reach and least served populations. Pastoralist communities are difficult to capture in household surveys because of factors including their high degree of mobility over remote terrain, fluid domestic arrangements, and cultural barriers. Most surveys use census-based sampling frames which do not accurately capture the demographic and health parameters of nomadic populations. As a result, pastoralists are “invisible” in population data such as the Demographic and Health Surveys (DHS). By combining remote sensing and geospatial analysis, we developed a sampling strategy designed to capture the current distribution of nomadic populations. We then implemented this sampling frame to survey a population of mobile pastoralists in southwest Ethiopia, focusing on maternal and child health (MCH) indicators. Using standardized instruments from DHS questionnaires, we draw comparisons with regional and national data finding disparities with DHS data in core MCH indicators, including vaccination coverage, skilled birth attendance, and nutritional status. Our field validation demonstrates that this method is a logistically feasible alternative to conventional sampling frames and may be used at the population level. Geospatial sampling methods provide cost-affordable and logistically feasible strategies for sampling mobile populations, a crucial first step toward reaching these groups with health services.

AB - Nomadic pastoralists are among the world’s hardest-to-reach and least served populations. Pastoralist communities are difficult to capture in household surveys because of factors including their high degree of mobility over remote terrain, fluid domestic arrangements, and cultural barriers. Most surveys use census-based sampling frames which do not accurately capture the demographic and health parameters of nomadic populations. As a result, pastoralists are “invisible” in population data such as the Demographic and Health Surveys (DHS). By combining remote sensing and geospatial analysis, we developed a sampling strategy designed to capture the current distribution of nomadic populations. We then implemented this sampling frame to survey a population of mobile pastoralists in southwest Ethiopia, focusing on maternal and child health (MCH) indicators. Using standardized instruments from DHS questionnaires, we draw comparisons with regional and national data finding disparities with DHS data in core MCH indicators, including vaccination coverage, skilled birth attendance, and nutritional status. Our field validation demonstrates that this method is a logistically feasible alternative to conventional sampling frames and may be used at the population level. Geospatial sampling methods provide cost-affordable and logistically feasible strategies for sampling mobile populations, a crucial first step toward reaching these groups with health services.

UR - http://www.scopus.com/inward/record.url?scp=85071897926&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071897926&partnerID=8YFLogxK

U2 - 10.4269/ajtmh.18-1009

DO - 10.4269/ajtmh.18-1009

M3 - Article

C2 - 31436151

AN - SCOPUS:85071897926

VL - 101

SP - 661

EP - 669

JO - American Journal of Tropical Medicine and Hygiene

JF - American Journal of Tropical Medicine and Hygiene

SN - 0002-9637

IS - 3

ER -