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Last Updated: 21/02/2025
Statistical methods for the estimation of age- and time-dependent epidemiological malaria parameters and the analysis of social network data as a novel approach to design malaria elimination strategies
Objectives
The aim of this research project is the development of new advanced, state-of-the-art methodology for epidemiologists, mathematical modellers and biostatisticians interested in modelling vector-borne infectious disease transmission.
Specific objectives are:
- The development of novel methodology to integrate mathematical and statistical models to estimate time- and age-varying malaria epidemiological parameters in the presence of unobserved heterogeneity;
- The development of approaches to deal with doubly interval censored observations in combination with outcome-dependent sampling and heterogeneity; and
- The study of heterogeneity in household conditions and individual attribute data using social network data.
Principal Institution
Principal Investigators / Focal Persons
Rationale and Abstract
This proposal focuses on the estimation of age- and time-dependent epidemiological malaria parameters, correcting for other attribute data, governing the spread and transmission of malaria. In addition, interest is in the identification of key individuals responsible for sustained malaria transmission in low transmission settings. Based on social network analysis techniques, this project aims at gaining insights relevant for the development of malaria elimination strategies. Although special attention is directed to malaria, the methodology developed in this project is more widely applicable in the context of vector-borne infections in both human and animal populations.
External reference
Thematic Categories
Date
Oct 2020 — Sep 2024
Funding Details
Belgian Federal Science Policy Office (BELSPO), Belgium
Grant ID: 065defe0-3362-4a2f-b3a4-ebd4a95bdafa
Project Site
Related Resources
