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Last Updated: 18/01/2023

Mapping seasonal demography and mobility for malaria elimination

Objectives

To address how sociodemographic factors vary with movement, and map demographic variables important to malaria transmission and risk throughout Mozambique during each month of the year and combine seasonal demography and movement predictions with monthly malaria risk maps to predict populations at-risk of malaria exposure in high transmission months.

Principal Institution

University of Tokyo, Japan

Principal Investigators / Focal Persons

Ayumi Arai

Rationale and Abstract

Work package I: Linking seasonal demography and mobility patterns
– Examined seasonal landscape through changes in population distribution: We examined changes in the distribution of residential locations across different seasons at administrative levels. We found the magnitude of seasonal changes are not significant when the population employed for the analysis are the whole population; it is most probably because the share of highly-mobile people is relatively small and majority of them remain stationary at the administrative levels. Because of this, we then evaluated seasonal characteristics only for the highly-mobile population and the remainder separately. Then, combined these result by region for mapping seasonal geographical landscape.
– Developed methodologies for filtering the highly-mobile population: Given that the population who have high possibilities of being the carrier of transmission are mobile, analysis plan was changed to focusing more on changes in seasonal landscape for the mobile population. We compute the radius of gyration and center of gyration to see whether their residential locations at the district level changed. We tested several thresholds to extract the highly-mobile population and examined how changing the thresholds affects the results.

Work package II: Focusing on high transmission seasons and extending to other countries
– We are considering the application of this analysis in one of western African countries where we are conducting the analysis on internal migration.

Thematic Categories

Social Science

Date

Apr 2020 — Mar 2024

Total Project Funding

$36,000

Funding Details
JPY 4.2 million
Project Site

Japan
Mozambique

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