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Related Concept Videos

Migration00:53

Migration

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Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
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Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria
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Census-derived migration data as a tool for informing malaria elimination policy.

Nick W Ruktanonchai1,2, Darlene Bhavnani3, Alessandro Sorichetta4,5

  • 1WorldPop, Geography and Environment, University of Southampton, Southampton, SO17 1BJ, UK. nick.ruktanonchai@flowminder.org.

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|May 13, 2016
PubMed
Summary

Long-term migration data effectively predict the movement of infected people, crucial for malaria elimination strategies. This approach helps identify high-risk areas and guides coordinated efforts to prevent parasite reintroduction globally.

Keywords:
Census dataHuman mobilityMalaria eliminationMigrationMobile phone data

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Area of Science:

  • Epidemiology
  • Public Health
  • Mathematical Modeling

Background:

  • Malaria elimination is nearing in many countries, but reintroduction of parasites via human movement poses a significant challenge.
  • Understanding human-mediated parasite mobility is crucial for subnational malaria transmission dynamics and elimination efforts.

Purpose of the Study:

  • To assess the predictive power of census-based migration data for short-term human movement patterns.
  • To model and predict the flow of infected individuals between subnational administrative units in Mesoamerica for malaria control.

Main Methods:

  • Compared migration data patterns with mobile phone data in Haiti to validate predictive capabilities.
  • Utilized logistic regression on migration data from three Mesoamerican countries to predict infected population flows.

Main Results:

  • Census-based migration data strongly correlated with mobile phone-derived movement patterns, serving as a reliable measure of relative connectivity.
  • Predicted relative population flows identified key areas of infected people exportation and importation across Mesoamerica.
  • Identified community structures to aid in coordinating malaria elimination interventions and minimizing importation risks.

Conclusions:

  • Long-term migration data offer a practical and accessible method for predicting relative flows of infected people, informing malaria elimination policies.
  • Predicted flows highlight critical population dynamics and facilitate targeted surveillance and treatment strategies.
  • Country-specific analyses, like that of Costa Rica, demonstrate the utility of census microdata for future intervention planning and risk assessment.