Characterizing and quantifying human movement patterns using gps data loggers in an area approaching malaria elimination in rural Southern Zambia

for the Southern Africa International Centers of Excellence for Malaria Research

Research output: Contribution to journalArticle

Abstract

In areas approaching malaria elimination, human mobility patterns are important in determining the proportion of malaria cases that are imported or the result of low-level, endemic transmission. A convenience sample of participants enrolled in a longitudinal cohort study in the catchment area of Macha Hospital in Choma District, Southern Province, Zambia, was selected to carry a GPS data logger for one month from October 2013 to August 2014. Density maps and activity space plots were created to evaluate seasonal movement patterns. Time spent outside the household compound during anopheline biting times, and time spent in malaria high- and lowrisk areas, were calculated. There was evidence of seasonal movement patterns, with increased long-distance movement during the dry season. A median of 10.6% (interquartile range (IQR): 5.8-23.8) of time was spent away from the household, which decreased during anopheline biting times to 5.6% (IQR:1.7-14.9). The per cent of time spent in malaria high-risk areas for participants residing in high-risk areas ranged from 83.2% to 100%, but ranged from only 0.0% to 36.7% for participants residing in low-risk areas. Interventions targeted at the household may be more effective because of restricted movement during the rainy season, with limited movement between high- and low-risk areas.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalRoyal Society Open Science
Volume4
Issue number5
DOIs
StatePublished - May 1 2017

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Zambia
Malaria
Longitudinal Studies
Cohort Studies

Keywords

  • GIS
  • GPS loggers
  • Human mobility
  • Malaria elimination
  • Movement patterns
  • Zambia

ASJC Scopus subject areas

  • General

Cite this

Characterizing and quantifying human movement patterns using gps data loggers in an area approaching malaria elimination in rural Southern Zambia. / for the Southern Africa International Centers of Excellence for Malaria Research.

In: Royal Society Open Science, Vol. 4, No. 5, 01.05.2017, p. 1-12.

Research output: Contribution to journalArticle

for the Southern Africa International Centers of Excellence for Malaria Research. / Characterizing and quantifying human movement patterns using gps data loggers in an area approaching malaria elimination in rural Southern Zambia. In: Royal Society Open Science. 2017 ; Vol. 4, No. 5. pp. 1-12.
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