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Related Experiment Video

Updated: Oct 31, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Analysing human population movement data for malaria control and elimination.

Greta Tam1,2, Benjamin J Cowling1, Richard J Maude3,4,5,6

  • 1WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing, Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

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Quantifying human population movement (HPM) is crucial for malaria control. While studies exist, gaps in tracking cross-border and regional HPM, especially with seasonality, require further research.

Keywords:
Human mobilityHuman population movementMalariaTravel

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Area of Science:

  • Epidemiology
  • Public Health
  • Geospatial Analysis

Background:

  • Human population movement (HPM) presents a significant challenge to global malaria control and elimination efforts.
  • Technological advancements have enabled diverse data sources and analytical methods for quantifying HPM relevant to malaria.

Purpose of the Study:

  • To review literature on human population movement (HPM) quantification for malaria control.
  • To identify policy-relevant studies for designing and targeting malaria interventions.

Main Methods:

  • Literature review of studies on human population movement (HPM).
  • Categorization of studies based on spatiotemporal scales of mobility and analytical methods.
  • Analysis of policy implications for malaria control interventions.

Main Results:

  • Evidence gaps identified in tracking routine cross-border and regional HPM.
  • Limited consideration of seasonality in existing studies.
  • Twenty studies reviewed: two used descriptive analyses for daily HPM, others used statistical analyses or mathematical modeling.

Conclusions:

  • Existing studies quantify various HPM types across different scales.
  • Methodological gaps persist, particularly in tracking cross-border and regional movement and accounting for seasonality.
  • Further research is needed to address these gaps for effective malaria control and elimination.